Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

Role Overview

We are looking for a Principal Analytics Consultant who specializes in Sigma to help our customers gain tangible value from their data.

In this role, you will lead end-to-end analytics engagements and build scalable Sigma solutions that help clients realize measurable business value. You will collaborate closely with client stakeholders, internal delivery teams, and account leaders to translate business needs into intuitive, actionable analytics products. You will help shape how clients use Sigma and modern data platforms to drive better decisions, improve analytics adoption, and establish sustainable ways of working with data.

Key Responsibilities

• Lead end-to-end analytics workstreams, owning planning, requirements, prototyping, development, testing, deployment, and adoption for Sigma solutions.
• Own the technical approach, backlog, and sequencing of work to deliver high-quality, scalable analytics solutions aligned to each client’s business context and data environment.
• Facilitate client working sessions to clarify ambiguous business needs, define analytical requirements, align stakeholders on priorities and risks, and drive decisions.
• Design and develop Sigma workbooks, dashboards, governed datasets, and self-service analytics experiences that enable business users to explore and act on data.
• Apply strong SQL, data modeling, and data visualization practices to connect Sigma solutions to cloud data warehouses, data marts, and analytical data structures.
• Establish quality standards for analytics deliverables, reviewing solutions for technical quality, usability, performance, scalability, and alignment to best practices.
• Recommend governance, security, access, workspace, and operating-model practices that support enterprise-scale Sigma adoption.
• Analyze, troubleshoot, and optimize data models, workbooks, reports, platform configurations, and deployment issues when required.
• Manage client expectations through clear status reporting, proactive communication, feedback loops, and transparent escalation of risks and dependencies.
• Partner with account and practice leaders to identify new use cases, extension opportunities, and reusable accelerators that deepen client value and support growth of the Analytics practice.
• Lead or mentor consultants and contribute to staffing, utilization, delivery planning, workstream budgets, and overall project performance.
• Support backlog development and ongoing enhancement of analytics solutions after initial implementation.

About You

You are a client-focused analytics practitioner who enjoys leading delivery, solving complex data problems, and creating practical, well-designed solutions. You bring strong technical judgment, executive presence, and the ability to move comfortably between business strategy, analytics architecture, hands-on development, and team leadership.

You are comfortable operating in distributed, global teams and partnering with colleagues and clients across time zones.

Required Qualifications

Experience

• 7+ years of relevant experience delivering data analytics, business intelligence, or data visualization solutions in an enterprise environment.
• 3+ years of external consulting experience, including ownership of client-facing analytics projects or workstreams from kickoff through completion.

Technical / Functional Skills

• Demonstrated expertise designing and delivering analytics solutions with Sigma, including workbook development, data exploration, visualization, and self-service analytics experiences.
• Strong SQL skills and experience working with cloud data warehouses, data marts, semantic models, and analytical data structures; Snowflake experience is preferred.
• Strong understanding of data modeling, metric definition, visualization design, performance optimization, and analytics architecture.
• Experience establishing or operating Sigma governance practices, including access management, security, workspace organization, deployment practices, and platform administration.
• Demonstrated ability to translate ambiguous business needs into clear analytical requirements and communicate recommendations, tradeoffs, and risks to technical and business stakeholders.
• Exceptional customer-facing communication, facilitation, project management, and stakeholder-management skills.
• Strong problem-solving skills with a passion for learning and mastering new technologies, techniques, and procedures.

Preferred Qualifications

Preferred qualifications help candidates stand out but are not required for success in this role.

• Experience scaling Sigma across an enterprise, including governance, adoption, operating models, performance, and platform optimization.
• Experience leading teams of consultants and contributing to utilization planning, staffing plans, workstream-level budget management, and project delivery.
• Experience with data preparation and transformation using Alteryx, KNIME, Matillion, Dataiku, Coalesce, or similar tools.
• Experience with Snowflake, Tableau, Power BI, Power Platform, or other modern data and analytics platforms.
• Experience developing reusable analytics accelerators, frameworks, templates, enablement materials, or internal points of view.
• Experience contributing to solution estimates, proposals, discovery activities, and the growth of a consulting practice.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

US:

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

The Risk & Analytics team makes crucial decisions that direct Affirm’s business strategy. Our team designs and runs experiments to decide which product features to launch and which marketing campaigns to fund. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools and analytical frameworks. We take ownership of the entire analytical lifecycle, from initial question to final business decision, ensuring Affirm grows efficiently and intelligently.

The POS Analytics team helps Affirm make its most important growth and investment decisions. We identify opportunities to expand the reach of Affirm’s products, optimize the consumer and merchant experience, and direct resources toward the highest-value opportunities. We own analytics end to end—from goal setting and performance tracking to opportunity sizing, rigorous decision support, and experiment design and measurement. We translate insights into actions that help Affirm grow efficiently and sustainably.

The POS Analytics team is looking for an Analytics Lead, Full Stack to support our next phase of growth with major platform partners. In this role, you will drive the growth strategy for these partnerships, identify and size growth opportunities, shape product and investment decisions, and measure the impact of key initiatives. You will work closely with our Strategic Partnerships, Product, Finance, Engineering, and Pricing teams. You should combine exceptional problem-solving and analytical skills with a general manager mindset, strong cross-functional leadership, and deep knowledge of the lending and/or payments space.

What you’ll do

• Own and prioritize the analytics portfolio for a significant product or business area, operating with a business owner mindset to define success, identify investment opportunities, recommend actions, and measure impact across customer experience, growth, risk, and profitability.
• Lead complex analyses that balance growth, credit performance, customer experience, and unit economics.
• Translate analytical findings into clear and compelling narratives and business cases that help leadership make informed decisions.
• Tackle ambiguous problems by identifying the core hypotheses and designing actionable experiments to validate product-market fit and economic viability.
• Lead through influence across Product, Engineering, Finance, and Revenue, building alignment around important decisions without formal authority.
• Build scalable data models, metrics, dashboards, and AI-assisted analytical workflows that improve access to trusted insights while maintaining rigorous validation, reproducibility, and data governance.
• Raise the impact of the analytics organization by mentoring analysts and developing reusable analytical practices and tools.

What we look for

• A General Manager mindset, strong product and credit risk judgment, and a track record of proactively identifying high-impact opportunities.
• Strong understanding of the consumer lending and credit industry, including lending economics, portfolio performance, and credit metrics.  The strongest candidates will bring experience across both risk and product and understand the tradeoffs among growth, credit performance, customer experience, and profitability.
• The ability to perform complex analyses and translate the results into clear, actionable business recommendations.
• Exceptional communication and influencing skills across technical and non-technical audiences, including senior leaders.
• 6 or more years of experience in a cross-functional analytical role, with demonstrated impact on significant product, risk, or business decisions.
• Advanced SQL and Python skills, including statistical analysis, experimental design, and practical experience with A/B testing.
• Demonstrated curiosity and a growth mindset, with hands-on experience using AI-powered tools such as Cursor, Claude, or similar assistants to accelerate analysis, automate workflows, enhance problem-solving, and advocate for AI adoption across analytical workflows.
• The ability to independently prioritize a roadmap, manage multiple workstreams, and mentor other analysts.
• A bachelor’s degree in a quantitatively rigorous field—or equivalent practical experience. An advanced degree is a plus.

Pay Grade - M

Equity Grade - 8

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

USA base pay range (CA, WA, NY, NJ, CT) per year: $185,000 - $245,000

USA base pay range (all other U.S. states) per year: $164,000 - $224,000

#LI-Remote

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking “Submit Application,” you acknowledge that you have read Affirm’s Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

About Foodsmart:

Foodsmart is the leading Foodcare platform in the U.S., built to deliver nutrition-driven healthcare at scale. Powered by a national network of Registered Dietitians, Foodsmart combines personalized clinical nutrition care, behavior change tools, and food benefits to improve member health outcomes while lowering healthcare costs.

Our platform is designed to foster healthier food choices, drive lasting behavior change, and deliver sustainable health outcomes. Through our highly personalized, digital platform, we guide more than 3 million members—including those in employer-sponsored health plans, regional and national Medicaid managed care organizations, Medicare Advantage plans, and commercial insurers—on a tailored journey to eating well while saving time and money.

Foodsmart seamlessly integrates dietary assessments and nutrition counseling with online food ordering and cost-effective meal planning for the entire family, optimizing ingredients both at home and on the go. We partner with national and regional retailers across the U.S., many of whom accept SNAP/EBT, making healthier food more accessible. Additionally, we assist members with SNAP enrollment and management, providing tangible access to nutritious food. In 2024, Foodsmart secured a $200 million investment from TPG’s Rise Fund, which supports entrepreneurs dedicated to achieving the United Nations’ Sustainable Development Goals. This investment helps us expand our reach, particularly to low-income workers who are disproportionately affected by diet-related diseases.

At Foodsmart, our mission is to make nutritious food accessible and affordable for everyone, regardless of economic status. We are committed to a set of core values that shape our culture and work environment:

👥 Customer First - You start with the member and work backwards.

🚀 Make It Happen - You act with urgency, use data, and hold high standards.

🤝 One Team - You collaborate with respect and commit as a group.

Whether you’re a dietitian, a commercial leader, or a technologist, working at Foodsmart means being part of a team that is passionate, supportive, and driven by a shared purpose. Join us in transforming the way people access and enjoy healthy food.

About the Role:

Foodsmart’s value proposition rests on a claim: we improve outcomes for the members who need it most, and we save payers real money doing it. We’re looking for a Senior Director of Health Economics & Actuarial Analytics who can make that claim airtight, rigorous enough to hold up when a payer’s own actuarial team pressure tests it.

This role owns the full chain from clinical improvement to economic value. It starts with measuring what actually changed for a client’s members: weight loss, A1c improvement, blood pressure control, HEDIS performance. It ends with quantifying what that improvement is worth and defending that number in front of the people writing the check.

You’ll also help shape our value-based care strategy, including which populations we should be targeting and what performance we can credibly commit to.

Health economists and actuaries approach these problems differently, and either can be excellent here. What matters is the standard you hold yourself to. Our numbers get validated by payers’ own actuarial teams, which means the work has to be built the way they would build it, with their assumptions about trend, credibility, and risk adjustment.

This is our most senior data science leadership role, reporting directly to the VP of Analytics & Data Science. You’ll lead a small team while staying deeply hands-on with the methodology yourself, and you’ll be expected to use AI as a genuine force multiplier, to move faster, go deeper, and extend your reach well beyond what the headcount alone would suggest. You’ll also be a partner on our peer-reviewed research work, which we pursue with academic collaborators and our founder and Chief Science Officer.

The strongest candidates will have done this inside a telehealth or digital health company, or will have built their foundation on the payer or consulting side and then moved into digital health. What matters most is that you have proven value to payers before, repeatedly, and know what it takes for those numbers to be believed.

You will:

• Own how we measure clinical outcomes across client member populations: weight loss, A1c, blood pressure, food insecurity, HEDIS measures, and the quality metrics our clients hold us to.
• Own Foodsmart’s ROI methodology: translating those clinical outcomes into economic value, and identifying which member populations we help the most.
• Represent that methodology directly to payers and external actuarial and consulting firms, defending our approach under real technical scrutiny rather than just presenting a final number.
• Own the analytical substance of the value story we tell individual clients, grounded in their own members’ outcomes rather than generic benchmarks.
• Help shape our value-based care strategy, including which member populations to target and what performance we can credibly stand behind.
• Build our outcomes and ROI methodology as a scalable system, one that extends to new populations and new client conversations without being rebuilt from scratch each time.
• Partner on peer-reviewed research with academic collaborators
• Work with our clinical team to translate findings and best practices into how care is actually delivered.
• Lead and develop a small team while staying hands-on, and lean on AI and other tooling to extend how much ground you and your team can cover.

You are:

• Rigorous in the way a payer’s actuarial team is rigorous. You reason about cost, utilization, risk, and credibility with real discipline, and you know where a methodology is most likely to be attacked.
• Fluent in both clinical quality measurement and economic value, and comfortable moving between the two. You can look at a change in A1c across a population and know how to turn it into a number a payer will accept.
• Comfortable being the technical counterpart to a payer’s own actuaries and consultants: unintimidated by scrutiny, and able to defend methodology choices in real time.
• Seasoned. You have proven value to payers repeatedly, and you are not learning ROI methodology on the job.
• A systems builder who thinks in terms of scale: a repeatable methodology, not a one-off analysis redone for every new client or payer.
• Able to translate technical findings into how care actually gets delivered, working alongside clinical and care delivery teams.
• Someone who treats AI as a genuine lever on your own impact. You actively look for ways to use it to work faster and go deeper, and you have a point of view on where it helps and where rigor still demands a human.
• Comfortable leading a small team while staying personally hands-on with the hardest analytical work yourself.

You have:

• A background in health economics, actuarial science, or a closely related quantitative field, with a track record of applying it to healthcare cost and value questions. An advanced degree or actuarial credentials (ASA, FSA, MAAA) are a plus but not required if you have equivalent hands-on depth.
• Experience proving ROI and value inside a telehealth or digital health company, or a foundation on the payer or consulting side followed by time in digital health.
• Hands-on experience measuring clinical outcomes and quality across populations, including familiarity with HEDIS and common chronic condition measures.
• Deep, hands-on experience with healthcare claims data, both medical and pharmacy (Rx), including the practical realities of using it for cost and utilization analysis.
• Deep expertise in causal inference as applied to healthcare cost and outcomes: matched cohort design, risk adjustment, and quasi-experimental methods.
• Direct experience presenting and defending ROI methodology with payers, actuaries, or similarly technical external audiences.
• Experience with value-based care arrangements and a point of view on what a provider or vendor can credibly commit to.
• Peer-reviewed publication experience is a plus.
• Experience partnering with clinical or care delivery teams to translate findings into practice.
• Comfort working directly with data (SQL, R, or Python) to conduct your own analysis.
• Familiarity with AI-native tooling (Claude Code, or equivalent) as a way to accelerate analysis.
• Excellent written and verbal communication skills, including the ability to write for external, technical, and non-technical audiences alike.

$210,000 - $245,000 a year

Role: Senior Director, Health Economics & Actuarial Analytics

Location: Remote, USA

Base Salary Range: $210,000 - $245,000 + bonus + benefits

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries at our headquarters in San Francisco, California. Individual pay is determined by work location, job-related skills, experience, and relevant education.

About our benefits and perks:

✅ Remote-First Company

✅ Unlimited PTO

✅ Flexible & remote location

✅ Healthcare Coverage (Medical, Dental, Vision)

✅ 401k & bonus

✅ Registered Dietitian Sessions

Foodsmart is an Equal Opportunity Employer. It is our firm policy to extend equal employment and advancement opportunity to all applicants and employees without regard to race, color, national origin, citizenship status, religious creed, age, sex (including pregnancy, childbirth, breastfeeding, medical conditions related to pregnancy, childbirth and/or breastfeeding), gender, gender identity and expression, sexual orientation, marital status, disability (physical or mental) and/or a medical condition, genetic information, ancestry, veteran status or service in the uniformed services, and any other characteristic protected by applicable federal, state or local law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

Role Overview

We are looking for a Principal Analytics Consultant who specializes in Sigma to help our customers gain tangible value from their data.

In this role, you will lead end-to-end analytics engagements and build scalable Sigma solutions that help clients realize measurable business value. You will collaborate closely with client stakeholders, internal delivery teams, and account leaders to translate business needs into intuitive, actionable analytics products. You will help shape how clients use Sigma and modern data platforms to drive better decisions, improve analytics adoption, and establish sustainable ways of working with data.

Key Responsibilities

• Lead end-to-end analytics workstreams, owning planning, requirements, prototyping, development, testing, deployment, and adoption for Sigma solutions.
• Own the technical approach, backlog, and sequencing of work to deliver high-quality, scalable analytics solutions aligned to each client’s business context and data environment.
• Facilitate client working sessions to clarify ambiguous business needs, define analytical requirements, align stakeholders on priorities and risks, and drive decisions.
• Design and develop Sigma workbooks, dashboards, governed datasets, and self-service analytics experiences that enable business users to explore and act on data.
• Apply strong SQL, data modeling, and data visualization practices to connect Sigma solutions to cloud data warehouses, data marts, and analytical data structures.
• Establish quality standards for analytics deliverables, reviewing solutions for technical quality, usability, performance, scalability, and alignment to best practices.
• Recommend governance, security, access, workspace, and operating-model practices that support enterprise-scale Sigma adoption.
• Analyze, troubleshoot, and optimize data models, workbooks, reports, platform configurations, and deployment issues when required.
• Manage client expectations through clear status reporting, proactive communication, feedback loops, and transparent escalation of risks and dependencies.
• Partner with account and practice leaders to identify new use cases, extension opportunities, and reusable accelerators that deepen client value and support growth of the Analytics practice.
• Lead or mentor consultants and contribute to staffing, utilization, delivery planning, workstream budgets, and overall project performance.
• Support backlog development and ongoing enhancement of analytics solutions after initial implementation.

About You

You are a client-focused analytics practitioner who enjoys leading delivery, solving complex data problems, and creating practical, well-designed solutions. You bring strong technical judgment, executive presence, and the ability to move comfortably between business strategy, analytics architecture, hands-on development, and team leadership.

You are comfortable operating in distributed, global teams and partnering with colleagues and clients across time zones.

Required Qualifications

Experience

• 7+ years of relevant experience delivering data analytics, business intelligence, or data visualization solutions in an enterprise environment.
• 3+ years of external consulting experience, including ownership of client-facing analytics projects or workstreams from kickoff through completion.

Technical / Functional Skills

• Demonstrated expertise designing and delivering analytics solutions with Sigma, including workbook development, data exploration, visualization, and self-service analytics experiences.
• Strong SQL skills and experience working with cloud data warehouses, data marts, semantic models, and analytical data structures; Snowflake experience is preferred.
• Strong understanding of data modeling, metric definition, visualization design, performance optimization, and analytics architecture.
• Experience establishing or operating Sigma governance practices, including access management, security, workspace organization, deployment practices, and platform administration.
• Demonstrated ability to translate ambiguous business needs into clear analytical requirements and communicate recommendations, tradeoffs, and risks to technical and business stakeholders.
• Exceptional customer-facing communication, facilitation, project management, and stakeholder-management skills.
• Strong problem-solving skills with a passion for learning and mastering new technologies, techniques, and procedures.

Preferred Qualifications

Preferred qualifications help candidates stand out but are not required for success in this role.

• Experience scaling Sigma across an enterprise, including governance, adoption, operating models, performance, and platform optimization.
• Experience leading teams of consultants and contributing to utilization planning, staffing plans, workstream-level budget management, and project delivery.
• Experience with data preparation and transformation using Alteryx, KNIME, Matillion, Dataiku, Coalesce, or similar tools.
• Experience with Snowflake, Tableau, Power BI, Power Platform, or other modern data and analytics platforms.
• Experience developing reusable analytics accelerators, frameworks, templates, enablement materials, or internal points of view.
• Experience contributing to solution estimates, proposals, discovery activities, and the growth of a consulting practice.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

US:

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

About the Revenue team

The Revenue team drives Affirm’s top-line growth through strategic partnerships, pricing, and go-to-market execution. We acquire, retain, and expand merchant relationships across eCommerce, in-store, telesales, and the Affirm app. The team leads onboarding, relationship management, and performance optimization to help partners succeed. We deliver value-added solutions, drive adoption, and support long-term business growth by connecting merchants and consumers through Affirm’s products.

About the Role

We’re looking for intelligent, driven professionals to join our Revenue Analytics team. This team is responsible for comprehensive analyses, reporting, and data solutions to support and grow our Revenue segments.

The ideal candidate will have strong analytical and problem solving skills, the ability to craft comprehensive narratives for both internal and external stakeholders, and produce tools and solutions to scale data usage with Revenue. In addition to analytical rigor, the ideal candidate has strong interpersonal skills to work proactively within the organization and with clients to drive forward recommendations.

What You’ll Do

Optimize decisions and execution with analyses, and communicate to internal and external partners

• Be a strategic partner with our Client Success and Marketplace Teams as the data SME for respective Revenue segments and merchants for their point-of-sale and Marketplace business

• Create business cases, insights, and dashboards as well as handle experiments to engage Affirm’s external merchant base; demonstrating Affirm’s value proposition and product performance

• Create internal analyses to assess Revenue performance, drive recommendations, and inform critical decisions; using insights to serve segment strategy and execution

Scale impact

• Standardize common use cases, provide the analytics infrastructure, and automate analyses and dashboards to scale decisions and execution within Revenue and with top external merchants

Own comprehensive analytics solution

• Define KPIs, performance benchmarks, and methodologies, including identifying and working with unstructured and structured data sources (in-house and third-party) to enable solutions and generate actionable insights

• Provide project and analytics guidance to a cross-functional team, acting as the analytics point of contact

• Propose, monitor, and contextualize experiment design and execution to drive optimizations of Affirm’s GTM efforts, empirically quantify the value of Affirm to our prospective merchants, and upsell enhanced offers to existing merchants

What We Look For

• 5+ years of experience in an analytically-driven role (consulting, finance, analytics, etc.)

• Strong working knowledge of SQL, data visualization tools (e.g. Sigma, Looker, Tableau). Understanding or a demonstrated aptitude to learn Python is a plus

• Demonstrated aptitude in leveraging AI tools for analytics (Cursor, Claude Code, etc.)

• Exceptional problem-solving skills, including ability to operate in ambiguity and establishing analytical frameworks to apply to business problems

• Ability to create structure in ambiguous situations, such as aligning stakeholders, or choosing the most impactful data to drive decisions

• Ability to communicate effectively, and craft compelling narratives to influence business and technical stakeholders across all levels of the organization, internally and externally

• Strong organization and execution skills, including ability to operate independently and drive multiple strategic initiatives simultaneously to drive business goals

• Prior track record in building successful cross-functional relationships with partners internally and externally

• Self-starter and a track record of successfully driving projects from end to end (from building strategy to implementation)

• Passion and drive to disrupt both the retail and lending industry for the better

• Enough laziness to find a faster way to do your least favorite tasks

• Humility and a team player - you go out of your way to help teammates

Nice to Have

• Knowledge of the FinTech or Payments industry

• Prior experience performing data analytics for marketplace platforms

• Demonstrated aptitude in AI tools for analytics (Cursor, Claude Code, etc.)

Pay Grade - M

Equity Grade - 8

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

USA base pay range (CA, WA, NY, NJ, CT) per year: $185,000 - $245,000

USA base pay range (all other U.S. states) per year: $164,000 - $224,000

#LI-Remote

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking “Submit Application,” you acknowledge that you have read Affirm’s Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

About the Revenue team

The Revenue team drives Affirm’s top-line growth through strategic partnerships, pricing, and go-to-market execution. We acquire, retain, and expand merchant relationships across eCommerce, in-store, telesales, and the Affirm app. The team leads onboarding, relationship management, and performance optimization to help partners succeed. We deliver value-added solutions, drive adoption, and support long-term business growth by connecting merchants and consumers through Affirm’s products.

About the Role

We’re looking for intelligent, driven professionals to join our Revenue Analytics team. This team is responsible for comprehensive analyses, reporting, and data solutions to support and grow our Revenue segments.

The ideal candidate will have strong analytical and problem solving skills, the ability to craft comprehensive narratives for both internal and external stakeholders, and produce tools and solutions to scale data usage with Revenue. In addition to analytical rigor, the ideal candidate has strong interpersonal skills to work proactively within the organization and with clients to drive forward recommendations.

What You’ll Do

Optimize decisions and execution with analyses, and communicate to internal and external partners

• Be a strategic partner with our Client Success and Marketplace Teams as the data SME for respective Revenue segments and merchants for their point-of-sale and Marketplace business

• Create business cases, insights, and dashboards as well as handle experiments to engage Affirm’s external merchant base; demonstrating Affirm’s value proposition and product performance

• Create internal analyses to assess Revenue performance, drive recommendations, and inform critical decisions; using insights to serve segment strategy and execution

Scale impact

• Standardize common use cases, provide the analytics infrastructure, and automate analyses and dashboards to scale decisions and execution within Revenue and with top external merchants

Own comprehensive analytics solution

• Define KPIs, performance benchmarks, and methodologies, including identifying and working with unstructured and structured data sources (in-house and third-party) to enable solutions and generate actionable insights

• Provide project and analytics guidance to a cross-functional team, acting as the analytics point of contact

• Propose, monitor, and contextualize experiment design and execution to drive optimizations of Affirm’s GTM efforts, empirically quantify the value of Affirm to our prospective merchants, and upsell enhanced offers to existing merchants

What We Look For

• 5+ years of experience in an analytically-driven role (consulting, finance, analytics, etc.)

• Strong working knowledge of SQL, data visualization tools (e.g. Sigma, Looker, Tableau). Understanding or a demonstrated aptitude to learn Python is a plus

• Demonstrated aptitude in leveraging AI tools for analytics (Cursor, Claude Code, etc.)

• Exceptional problem-solving skills, including ability to operate in ambiguity and establishing analytical frameworks to apply to business problems

• Ability to create structure in ambiguous situations, such as aligning stakeholders, or choosing the most impactful data to drive decisions

• Ability to communicate effectively, and craft compelling narratives to influence business and technical stakeholders across all levels of the organization, internally and externally

• Strong organization and execution skills, including ability to operate independently and drive multiple strategic initiatives simultaneously to drive business goals

• Prior track record in building successful cross-functional relationships with partners internally and externally

• Self-starter and a track record of successfully driving projects from end to end (from building strategy to implementation)

• Passion and drive to disrupt both the retail and lending industry for the better

• Enough laziness to find a faster way to do your least favorite tasks

• Humility and a team player - you go out of your way to help teammates

Nice to Have

• Knowledge of the FinTech or Payments industry

• Prior experience performing data analytics for marketplace platforms

• Demonstrated aptitude in AI tools for analytics (Cursor, Claude Code, etc.)

Pay Grade- M

Equity Grade - 5

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

CAN base pay range per year: $145,000 - $205,000

This posting is for an existing vacancy.

#LI-Remote

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking “Submit Application,” you acknowledge that you have read Affirm’s Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

The Risk & Analytics team makes crucial decisions that direct Affirm’s business strategy. Our team designs and runs experiments to decide which product features to launch and which marketing campaigns to fund. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools and analytical frameworks. We take ownership of the entire analytical lifecycle, from initial question to final business decision, ensuring Affirm grows efficiently and intelligently.

The POS Analytics team helps Affirm make its most important growth and investment decisions. We identify opportunities to expand the reach of Affirm’s products, optimize the consumer and merchant experience, and direct resources toward the highest-value opportunities. We own analytics end to end—from goal setting and performance tracking to opportunity sizing, rigorous decision support, and experiment design and measurement. We translate insights into actions that help Affirm grow efficiently and sustainably.

The POS Analytics team is looking for an Analytics Lead, Full Stack to support our next phase of growth with major platform partners. In this role, you will drive the growth strategy for these partnerships, identify and size growth opportunities, shape product and investment decisions, and measure the impact of key initiatives. You will work closely with our Strategic Partnerships, Product, Finance, Engineering, and Pricing teams. You should combine exceptional problem-solving and analytical skills with a general manager mindset, strong cross-functional leadership, and deep knowledge of the lending and/or payments space.

What you’ll do

• Own and prioritize the analytics portfolio for a significant product or business area, operating with a business owner mindset to define success, identify investment opportunities, recommend actions, and measure impact across customer experience, growth, risk, and profitability.
• Lead complex analyses that balance growth, credit performance, customer experience, and unit economics.
• Translate analytical findings into clear and compelling narratives and business cases that help leadership make informed decisions.
• Tackle ambiguous problems by identifying the core hypotheses and designing actionable experiments to validate product-market fit and economic viability.
• Lead through influence across Product, Engineering, Finance, and Revenue, building alignment around important decisions without formal authority.
• Build scalable data models, metrics, dashboards, and AI-assisted analytical workflows that improve access to trusted insights while maintaining rigorous validation, reproducibility, and data governance.
• Raise the impact of the analytics organization by mentoring analysts and developing reusable analytical practices and tools.

What we look for

• A General Manager mindset, strong product and credit risk judgment, and a track record of proactively identifying high-impact opportunities.
• Strong understanding of the consumer lending and credit industry, including lending economics, portfolio performance, and credit metrics.  The strongest candidates will bring experience across both risk and product and understand the tradeoffs among growth, credit performance, customer experience, and profitability.
• The ability to perform complex analyses and translate the results into clear, actionable business recommendations.
• Exceptional communication and influencing skills across technical and non-technical audiences, including senior leaders.
• 6 or more years of experience in a cross-functional analytical role, with demonstrated impact on significant product, risk, or business decisions.
• Advanced SQL and Python skills, including statistical analysis, experimental design, and practical experience with A/B testing.
• Demonstrated curiosity and a growth mindset, with hands-on experience using AI-powered tools such as Cursor, Claude, or similar assistants to accelerate analysis, automate workflows, enhance problem-solving, and advocate for AI adoption across analytical workflows.
• The ability to independently prioritize a roadmap, manage multiple workstreams, and mentor other analysts.
• A bachelor’s degree in a quantitatively rigorous field—or equivalent practical experience. An advanced degree is a plus.

Pay Grade - M

Equity Grade - 8

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

USA base pay range (CA, WA, NY, NJ, CT) per year: $185,000 - $245,000

USA base pay range (all other U.S. states) per year: $164,000 - $224,000

#LI-Remote

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking “Submit Application,” you acknowledge that you have read Affirm’s Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Headquarters: Remote

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.

Overview

We are seeking a Principal Product Analyst to own ZoomInfo's PLG measurement system - the framework that defines how the company evaluates customer adoption, monetization, retention, and growth across its product portfolio.

 

This is not a traditional reporting or dashboarding role. It is a strategic leadership role responsible for defining how the organization measures PLG success, identifying the behaviors that drive business outcomes, and generating the insights that shape product investments and growth strategy.

 

The ideal candidate combines strong analytical depth with operational rigor and a builder mentality. They are comfortable operating in ambiguity, leading investigations from scratch, and influencing decisions across Product, Engineering, Go-To-Market, and Leadership teams. They also embrace AI-native ways of working, leveraging automation and emerging technologies to fundamentally improve how analytics is performed and scaled. PLG experience is a plus but not required. 

 

What You'll Do

Product Growth Measurement & Operating System

• Define and own the measurement framework for ZoomInfo’s PLG motion, including acquisition, activation, engagement, monetization, retention, and expansion.
• Establish the company’s source of truth for PLG performance, including KPI definitions, scorecards, executive reporting, and performance benchmarks.
• Define leading indicators that predict customer activation, product adoption, conversion, retention, and expansion outcomes.
• Ensure measurement consistency across products, teams, and business units, enabling a unified view of customer growth and product performance.
• Develop scalable frameworks that connect customer behavior to business outcomes and investment decisions.

Customer Journey Analytics & Growth Diagnostics:

• Own analytical understanding of the end-to-end customer journey, from acquisition and onboarding through monetization and long-term retention.
• Identify behavioral patterns, friction points, and conversion barriers that impact activation, adoption, retention, and expansion.
• Develop customer segmentation frameworks that reveal differences in growth outcomes across personas, customer segments, and product experiences.
• Lead investigations into significant changes in PLG performance, diagnosing root causes and quantifying business impact.
• Identify the behaviors and product experiences most strongly associated with successful customer outcomes and long-term value creation.

Product Strategy & Growth Insights

• Influence product investment and roadmap decisions by quantifying opportunity size, identifying high-leverage growth opportunities, and evaluating tradeoffs across competing initiatives.
• Serve as a strategic advisor to Product, Growth, and GTM leadership on customer behavior trends, adoption patterns, and monetization opportunities.
• Build analytical frameworks that help teams prioritize investments across onboarding, activation, engagement, monetization, retention, and expansion.
• Define measurement strategies for major product initiatives and ensure business impact is accurately assessed.
• Guide experimentation efforts across the PLG funnel, helping teams prioritize, evaluate, and scale growth opportunities.
• Deliver executive-level insights that inform product strategy, growth planning, and resource allocation.

AI-Native Analytics & Operational Excellence

• Redesign analytics workflows around AI-first operating principles rather than traditional manual processes.
• Build automated systems that continuously monitor product performance, surface anomalies, and identify growth opportunities at scale.
• Develop AI-assisted investigation workflows that accelerate root-cause analysis and reduce time-to-insight.
• Establish scalable reporting and monitoring infrastructure that minimizes manual effort while maintaining analytical rigor.
• Continuously evaluate emerging AI capabilities and incorporate them into the analytics operating model.
• Improve self-service analytics capabilities while maintaining governance, consistency, and trust in data.

Cross-Functional Leadership

• Act as a trusted strategic partner to Product, Engineering, Product Marketing, Sales, Customer Success, and Executive Leadership.
• Align teams around a shared understanding of PLG performance, customer behavior, and growth priorities.
• Lead cross-functional initiatives from opportunity identification through execution, measurement, and business impact assessment.
• Elevate analytical standards and foster a culture of data-informed decision making across the organization.

 

About You

• You think in customer journeys, growth loops, and behavioral systems rather than isolated metrics.
• You enjoy solving ambiguous business problems and creating structure where none exists.
• You are naturally curious about why customers adopt, convert, expand, or churn.
• You balance strategic thinking with hands-on analytical execution.
• You are comfortable influencing senior stakeholders through data, storytelling, and business context.
• You actively leverage AI tools such as Claude, Claude Code, or similar technologies to automate workflows, accelerate investigations, and improve analytical output.

What You Bring

• 8+ years of experience in Product Analytics, Growth Analytics, Data Science, Business Intelligence, Customer Analytics, Strategy, or related fields.
• Demonstrated ability to independently lead large-scale analytical initiatives with measurable business impact.
• Advanced SQL, Python skills and strong analytical foundations.
• Experience conducting deep-dive analyses into customer behavior, product performance, and business outcomes.
• Strong statistical and experimentation knowledge.
• Experience translating complex data into actionable business recommendations.
• Proven ability to influence senior stakeholders and drive decisions through data.
• Strong project management and prioritization skills.
• Experience building scalable reporting, monitoring, and operational processes.

 

Preferred Qualifications

• Experience supporting Product-Led Growth or self-service SaaS organizations.
• Experience with SaaS business models and customer lifecycle analytics.
• Experience leveraging AI tools to improve analytical workflows and operational efficiency.

 

Success in This Role Means

• ZoomInfo has a clear and consistent framework for measuring PLG success across products and teams.
• Product and business leaders understand the behavioral drivers of activation, adoption, retention, and expansion.
• Growth opportunities and performance risks are identified proactively rather than reactively.
• Product investments are prioritized using measurable customer and business impact.
• Analytics workflows scale efficiently through automation and AI-enabled processes.
• Cross-functional teams view analytics as a strategic partner that shapes business decisions, not just a reporting function.

Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.

In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.

Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.$136,500—$214,500 USD

About us: 

ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.

ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.

ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.

ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.

For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.

To apply: https://weworkremotely.com/remote-jobs/zoominfo-technologies-llc-principal-business-intelligence-analyst

Our Talent Science team ensures that we follow an objective, scientifically rigorous and efficient process to select the very best new colleagues regardless of location, culture or background. With a...

The Role

At Wpromote, we need someone who can own marketing measurement all the way from click to pipeline to revenue.

This role sits at the intersection of tracking, marketing operations, CRM, and analytics. You’ll make sure campaign data is captured correctly at the source, passed cleanly through our marketing and sales systems, and tied back to pipeline and revenue in a way the business can trust. That means knowing how front-end tracking works, how GTM and site instrumentation should be set up, how marketing automation and CRM systems ingest and sync data, and how to QA the full handoff from campaign to seller to opportunity to closed revenue.

This is not a reporting-only role. We need someone who can diagnose where measurement breaks, fix the root cause, and build the operating discipline to keep it working.

Success in this role looks like:

• Marketing activity is reliably tied to pipeline and revenue
• Campaign data is structured correctly from the start and remains consistent across systems
• Sellers receive the right lead and campaign context
• Marketing automation and CRM syncs are clean, documented, and auditable
• Attribution disputes are resolved with evidence, not guesswork
• Leadership trusts the numbers because the measurement foundation is strong

At Wpromote, we believe that great work is only possible with great people. Our goal is to build a better, more inclusive work environment and support our people at every stage of their careers by prioritizing a strong work-life balance through our policies and benefits listed below. As a Best Place to Work according to both Ad Age and Glassdoor and Adweek’s Fastest Growing Digital Agency, we are moving fast to expand our teams and bring new experts into the fold to keep pushing the boundaries of what’s possible in marketing.

We offer:

-Remote-first culture

-Unlimited PTO

-Extended Holiday break (Winter)

-Flexible schedules

-Work from anywhere options*

-100% paid parental leave

-401(k) matching

-Medical, Dental, Vision, Life, Pet Insurance

-Sponsored life insurance

-Short Term Disability insurance and additional voluntary insurance

-Annual Class Pass credits and more!

The anticipated annual salary for this role will range from $140,000 - $160,000 based on consideration of a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, education and certifications, competitive benchmarks, scope of responsibility, market dynamics, geographic location, and respective state’s salary threshold for exempt employees. The total compensation package for this role will include benefits (listed above) and an annual performance bonus.

This role has an associated annual target bonus component which is paid out based on a number of factors which include Company performance, department performance, and individual performance. Bonuses are not guaranteed and you must be an active employee in good standing and not on a Performance Improvement Plan to be eligible for the annual bonus.

*This position may be performed remotely in most states within the US, with some exclusions

**While this role offers the flexibility to work remotely, we have office hubs in Los Angeles, Chicago, and New York, where you can join in on learning and development opportunities, fun events, take advantage of a space to work, and collaborate in person!

***This position is not eligible for immigration sponsorship

Important Notice: Beware of Job Scams

Wpromote recruiting communications will only be sent through our official channels via wpromote.com email addresses. If you see a posting elsewhere that is not reflected on Wpromote.com/careers, it may be a fraudulent posting. We do not require payment or fees during the hiring process nor do we request sensitive information, such as Social Security numbers or payment details. Please safeguard yourself against possible scams and contact us if you encounter any suspicious activity.

#LI-JJ

#LI-Remote

You Will Be

• Owning end-to-end measurement of marketing’s impact on pipeline and revenue.
• Defining and maintaining the tracking strategy across web, media, marketing automation, and CRM systems.
• Leading implementation and QA of tagging, event tracking, dataLayer requirements, UTM governance, and campaign taxonomy.
• Partnering with channel, web, marketing ops, sales ops, and data teams to make sure campaign data is captured correctly and flows cleanly into downstream systems.
• Ensuring leads, responses, and campaign touchpoints are ingested correctly into marketing automation platforms and synced accurately into CRM.
• Validating that campaigns are set up correctly so source, medium, campaign, content, and other key dimensions persist through the full funnel.
• Working with sales and ops teams to ensure marketing-sourced activity is routed to the right sellers and connected to the right pipeline and revenue outcomes.
• Building QA processes that catch breaks in tracking, ingestion, syncing, routing, and attribution before they affect reporting.
• Investigating discrepancies in attribution, conversion tracking, lead counts, pipeline, and revenue, and resolve them at the source.
• Translating business questions into tracking requirements, naming conventions, field mappings, and measurement plans.
• Partnering with analytics and engineering teams on data models, source integration, identity resolution, and reporting logic.
• Creating clear documentation for tracking requirements, campaign setup standards, field definitions, and operational workflows.
• Helping leadership understand what is measurable, what is not, and where data quality risks exist.

You Must Have

• Experience in B2B or demand generation measurement.

• Experience creating measurement plans that align media platforms to business outcomes that stretch across a buying committee and a full sales cycle.

• Strong experience in marketing analytics, data strategy, marketing operations, revenue operations, or a similar role.

• Deep hands-on knowledge of Google Tag Manager and modern digital measurement.

• Strong understanding of front-end tracking needs, including event design, dataLayer requirements, tag behavior, cookies, consent implications, and QA workflows.

• Experience with GA4 and related web analytics tools.

• Strong working knowledge of marketing automation platforms and CRM systems, including how records are created, enriched, synced, routed, and reported.

• Experience with systems like Salesforce, HubSpot, Marketo, Pardot, or similar platforms.

• Experience working with and managing account-based platforms like Demandbase and 6sense.

• Solid understanding of campaign taxonomy, UTMs, click IDs, lead capture, offline conversion flows, and attribution logic.

• Experience validating that campaign and source data survives handoffs across ad platforms, websites, forms, automation tools, CRM, and pipeline reporting.

• Ability to troubleshoot across technical and operational layers, from tag configuration to field mapping to seller handoff logic.

• Comfort working with engineers, analysts, marketers, and sellers without losing the thread.

• Strong QA instincts and a low tolerance for fuzzy definitions or broken handoffs.

• Ability to turn messy business processes into clear measurement frameworks and repeatable operating rules.

Nice To Have

• Experience with offline conversion imports, lead-to-account matching, or multi-touch attribution.

• Experience working with warehouse, BI, or reverse ETL environments.

• SQL skills and comfort validating data in source systems, exports, or reporting layers.

Wpromote is committed to bringing together individuals from different backgrounds and perspectives, providing employees with a safe and welcoming environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.

Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Wpromote.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. For more information on E Verify, or if you believe that your employer has violated its E-Verify responsibilities, please contact DHS.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Not all heroes wear capes — but plenty of them use toilet paper Want to challenge yourself at a purpose-led scale up AND make a difference in the world? Come...

For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our...

Not all heroes wear capes — but plenty of them use toilet paper Want to challenge yourself at a purpose-led scale up AND make a difference in the world? Come...

For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our...

Become a part of our caring community The BI Arch, AD leader will be accountable for the development and stewardship of data infrastructure and architecture of various strategic reporting applications and Control Tower type dashboards for Insurance Operations division .

About Ethos

Ethos is a leading life insurance technology company on a mission to protect families by democratizing access to life insurance and empowering agents at scale. With its robust three-sided technology platform, Ethos is transforming the life insurance experience for consumers, agents, and carriers alike. Ethos offers instant, accessible products and a seamless online process that requires no medical exams and just a few health questions; it eliminates traditional barriers, making it easier than ever for everyone to protect their families. Ethos is redefining how life insurance is bought, sold, and underwritten.

About the role

This is a senior and highly influential role built around judgment, strategic impact, and deep analytical craft. It starts with genuine understanding of our customers, our business, and the dynamics that drive growth. That understanding is your core asset. You use it to identify the highest-leverage questions, spot opportunities the business hasn’t seen yet, and show up in product and leadership conversations with clear recommendations that change what gets built.

The AI infrastructure we’ve built changes what’s possible for someone in this role. Mechanical analysis moves faster than ever. That frees you to operate at a higher level: training our systems on what good looks like, reviewing and sharpening their output, and bringing the judgment no model can replicate. We’re further along than most, but there’s no finished playbook for this yet. You’d be shaping it.

You go deep in analytics, experimentation, and growth. AI gives you the reach.

You’ll partner directly with product, design, engineering, and executive leadership to shape strategy across high-impact product lines. Nobody has fully cracked how AI transforms product analytics. We’re moving fast, the foundations are real, and there’s room to have massive impact from day one. If you want to be one of the people who shapes how this gets done, this is the role.

Duties and Responsibilities:

• Insight that drives product decisions. You identify the highest-leverage questions, build the frameworks to answer them, and bring clear recommendations to product and leadership. PMs and executives make different decisions because you’re in the room.
• Deep customer and business understanding. You build a rich model of how customers behave, what drives conversion and retention, and where growth opportunities live. That model shapes everything from long-term roadmap bets to the micro-decisions made in weekly product reviews.
• Experimentation at portfolio scale. Own experiment strategy across your product areas: design, guardrails, interpretation, and the cross-experiment patterns that reveal the bigger picture no single test shows.
• AI system quality and judgment. Our agents pull data, read configs, and produce draft analyses. You own the quality of that output: validating it, sharpening it, and training the system over time. Human judgment over AI judgment. Always.
• Connecting dots no one else sees. You operate across product areas, experiments, and data sources: surfacing patterns, opportunity-sizing insights, and strategic bets that siloed analysis misses. You shift how leadership thinks about growth.
• Raising the bar for the entire team. You set the standard for how AI and analytical rigor work together. When you find a better way to validate an experiment, pressure-test a metric, or get signal from AI faster: you make it the team’s new baseline.

Qualifications and Skills:

• 8+ years of product analytics experience in consumer-facing, high-growth environments
• You don’t wait for a spec. You see the gap, frame the question, build the answer, and land the insight with the right audience. You move at 5x the speed of a traditional analyst: not by cutting corners, but by leveraging every tool available. When you solve a problem, you solve it for the team.
• You’ve changed what gets built, not just reported on what shipped.
• Deep expertise in experiment design, causal inference, and power analysis: combined with daily use of AI tools and a clear-eyed understanding of where they accelerate, where they hallucinate, and where human judgment is non-negotiable.
• You can make an executive care about a p-value and a data engineer care about a business metric. You write clearly, present with conviction, and know when a Slack message beats a slide deck.
• Comfortable across the modern analytics stack (Snowflake, dbt, Amplitude, Hex, Mode). Strong SQL foundations: not because you’ll write every query by hand, but because you need to reason through data logic, validate AI-generated output, and debug when something’s off.

#LI-Remote #LI-MB1

The US national base salary range for this full-time position is $166,000 - $260,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Please note that the compensation details listed in US role postings reflect the base salary only and do not include applicable bonus, equity, or benefits.

You can find further details of our US benefits at https://www.ethoslife.com/careers/

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records.

To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice.

Recruitment Notice: Please be aware of recruitment scams. All legitimate communication from our team will only come from email addresses ending in @ethos.com or @getethos.com. We will never ask for payment, banking details, or sensitive personal information during the hiring process. If you are contacted by someone claiming to represent us from a different email address, please treat it as fraudulent.

About Ethos

Ethos is a leading life insurance technology company on a mission to protect families by democratizing access to life insurance and empowering agents at scale. With its robust three-sided technology platform, Ethos is transforming the life insurance experience for consumers, agents, and carriers alike. Ethos offers instant, accessible products and a seamless online process that requires no medical exams and just a few health questions; it eliminates traditional barriers, making it easier than ever for everyone to protect their families. Ethos is redefining how life insurance is bought, sold, and underwritten.

About the role

This is a senior and highly influential role built around judgment, strategic impact, and deep analytical craft. It starts with genuine understanding of our customers, our business, and the dynamics that drive growth. That understanding is your core asset. You use it to identify the highest-leverage questions, spot opportunities the business hasn’t seen yet, and show up in product and leadership conversations with clear recommendations that change what gets built.

The AI infrastructure we’ve built changes what’s possible for someone in this role. Mechanical analysis moves faster than ever. That frees you to operate at a higher level: training our systems on what good looks like, reviewing and sharpening their output, and bringing the judgment no model can replicate. We’re further along than most, but there’s no finished playbook for this yet. You’d be shaping it.

You go deep in analytics, experimentation, and growth. AI gives you the reach.

You’ll partner directly with product, design, engineering, and executive leadership to shape strategy across high-impact product lines. Nobody has fully cracked how AI transforms product analytics. We’re moving fast, the foundations are real, and there’s room to have massive impact from day one. If you want to be one of the people who shapes how this gets done, this is the role.

Duties and Responsibilities:

• Insight that drives product decisions. You identify the highest-leverage questions, build the frameworks to answer them, and bring clear recommendations to product and leadership. PMs and executives make different decisions because you’re in the room.
• Deep customer and business understanding. You build a rich model of how customers behave, what drives conversion and retention, and where growth opportunities live. That model shapes everything from long-term roadmap bets to the micro-decisions made in weekly product reviews.
• Experimentation at portfolio scale. Own experiment strategy across your product areas: design, guardrails, interpretation, and the cross-experiment patterns that reveal the bigger picture no single test shows.
• AI system quality and judgment. Our agents pull data, read configs, and produce draft analyses. You own the quality of that output: validating it, sharpening it, and training the system over time. Human judgment over AI judgment. Always.
• Connecting dots no one else sees. You operate across product areas, experiments, and data sources: surfacing patterns, opportunity-sizing insights, and strategic bets that siloed analysis misses. You shift how leadership thinks about growth.
• Raising the bar for the entire team. You set the standard for how AI and analytical rigor work together. When you find a better way to validate an experiment, pressure-test a metric, or get signal from AI faster: you make it the team’s new baseline.

Qualifications and Skills:

• 8+ years of product analytics experience in consumer-facing, high-growth environments
• You don’t wait for a spec. You see the gap, frame the question, build the answer, and land the insight with the right audience. You move at 5x the speed of a traditional analyst: not by cutting corners, but by leveraging every tool available. When you solve a problem, you solve it for the team.
• You’ve changed what gets built, not just reported on what shipped.
• Deep expertise in experiment design, causal inference, and power analysis: combined with daily use of AI tools and a clear-eyed understanding of where they accelerate, where they hallucinate, and where human judgment is non-negotiable.
• You can make an executive care about a p-value and a data engineer care about a business metric. You write clearly, present with conviction, and know when a Slack message beats a slide deck.
• Comfortable across the modern analytics stack (Snowflake, dbt, Amplitude, Hex, Mode). Strong SQL foundations: not because you’ll write every query by hand, but because you need to reason through data logic, validate AI-generated output, and debug when something’s off.

#LI-Remote #LI-MB1

The US national base salary range for this full-time position is $166,000 - $260,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Please note that the compensation details listed in US role postings reflect the base salary only and do not include applicable bonus, equity, or benefits.

You can find further details of our US benefits at https://www.ethoslife.com/careers/

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records.

To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice.

Recruitment Notice: Please be aware of recruitment scams. All legitimate communication from our team will only come from email addresses ending in @ethos.com or @getethos.com. We will never ask for payment, banking details, or sensitive personal information during the hiring process. If you are contacted by someone claiming to represent us from a different email address, please treat it as fraudulent.

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Manager of Statistical Programming is a strategic role which guides a team of Statistical Programmers in the research and development of new pharmaceutical products. This role is directly responsible for leading the statistical programming activities for the Neuroscience group. The Manager of Statistical Programming must effectively interface with Statistics, Data Sciences, Medical Writing, Regulatory Publishing and Clinical Operations.

Responsibilities:

• Leads the statistical programming activities for a compound/indication or therapeutic area in early development.
• Leads a team of statistical programmers and manages the resource planning for assigned staff.
• Ensures timely deliverables, that all quality processes are followed and consistency within the projects.
• Develops and oversees the development of SAS programs for the creation of ADaM data sets following CDISC standards.
• Develops and oversees the development of SAS programs for the creation of Tables, Listings and Figures.
• Ensures consistency of ADaM data sets for individual studies and integrated data.
• Creates documentation for regulatory filings including reviewers guides and data definition documents.
• Leads the development of standard SAS Macros and participates in the development of standard operating procedures.
• Provides oversight and mentoring of assigned Statistical Programmers, Statistical Analysts and Senior Statistical Analysts.

Qualifications

Minimum Job Qualifications:

• Bachelors in Statistics or Mathematics
• 10+ years of relevant experience. (or 8+ with a Masters)
• Previous experience leading a team/project of statistical programmers.
• Experience with SAS programming concepts and techniques related to drug development.
• In-depth understanding of CDISC Standards.
• Experience with ADaM development and TLF generation is required

Preferred Qualifications:

• Experience with regulatory filings.

Other Required Skills:

• Ability to communicate clearly both oral and written.
• Ability to effectively represent the Statistical Programming Organization in cross functional teams.
• Ability to accurately estimate effort required for project related programming activities.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to participate in our long-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Manager of Statistical Programming is a strategic role which guides a team of Statistical Programmers in the research and development of new pharmaceutical products. This role is directly responsible for leading the statistical programming activities for the Neuroscience group. The Manager of Statistical Programming must effectively interface with Statistics, Data Sciences, Medical Writing, Regulatory Publishing and Clinical Operations.

Responsibilities:

• Leads the statistical programming activities for a compound/indication or therapeutic area in early development.
• Leads a team of statistical programmers and manages the resource planning for assigned staff.
• Ensures timely deliverables, that all quality processes are followed and consistency within the projects.
• Develops and oversees the development of SAS programs for the creation of ADaM data sets following CDISC standards.
• Develops and oversees the development of SAS programs for the creation of Tables, Listings and Figures.
• Ensures consistency of ADaM data sets for individual studies and integrated data.
• Creates documentation for regulatory filings including reviewers guides and data definition documents.
• Leads the development of standard SAS Macros and participates in the development of standard operating procedures.
• Provides oversight and mentoring of assigned Statistical Programmers, Statistical Analysts and Senior Statistical Analysts.

Qualifications

Minimum Job Qualifications:

• Bachelors in Statistics or Mathematics
• 10+ years of relevant experience. (or 8+ with a Masters)
• Previous experience leading a team/project of statistical programmers.
• Experience with SAS programming concepts and techniques related to drug development.
• In-depth understanding of CDISC Standards.
• Experience with ADaM development and TLF generation is required

Preferred Qualifications:

• Experience with regulatory filings.

Other Required Skills:

• Ability to communicate clearly both oral and written.
• Ability to effectively represent the Statistical Programming Organization in cross functional teams.
• Ability to accurately estimate effort required for project related programming activities.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to participate in our long-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Manager of Statistical Programming is a strategic role which guides a team of Statistical Programmers in the research and development of new pharmaceutical products. This role is directly responsible for leading the statistical programming activities for the Neuroscience group. The Manager of Statistical Programming must effectively interface with Statistics, Data Sciences, Medical Writing, Regulatory Publishing and Clinical Operations.

Responsibilities:

• Leads the statistical programming activities for a compound/indication or therapeutic area in early development.
• Leads a team of statistical programmers and manages the resource planning for assigned staff.
• Ensures timely deliverables, that all quality processes are followed and consistency within the projects.
• Develops and oversees the development of SAS programs for the creation of ADaM data sets following CDISC standards.
• Develops and oversees the development of SAS programs for the creation of Tables, Listings and Figures.
• Ensures consistency of ADaM data sets for individual studies and integrated data.
• Creates documentation for regulatory filings including reviewers guides and data definition documents.
• Leads the development of standard SAS Macros and participates in the development of standard operating procedures.
• Provides oversight and mentoring of assigned Statistical Programmers, Statistical Analysts and Senior Statistical Analysts.

Qualifications

Minimum Job Qualifications:

• Bachelors in Statistics or Mathematics
• 10+ years of relevant experience. (or 8+ with a Masters)
• Previous experience leading a team/project of statistical programmers.
• Experience with SAS programming concepts and techniques related to drug development.
• In-depth understanding of CDISC Standards.
• Experience with ADaM development and TLF generation is required

Preferred Qualifications:

• Experience with regulatory filings.

Other Required Skills:

• Ability to communicate clearly both oral and written.
• Ability to effectively represent the Statistical Programming Organization in cross functional teams.
• Ability to accurately estimate effort required for project related programming activities.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to participate in our long-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html