Analytics Lead, Full Stack

Affirm; New York (NY); Remote; USD 185,000 - 245,000; Full time

Benefits offered by this job

100% health coverage

Monthly stipends for tech setup

Flexible time off

Employee stock purchase plan

Job summary

Affirm is seeking an Analytics Lead, Full Stack to drive growth through platform partnerships. You will own the analytics portfolio, size opportunities, shape product and investment decisions, and measure impact across growth, risk, and profitability.

You will collaborate with Strategic Partnerships, Product, Finance, Engineering, and Pricing, translating insights into clear business cases for senior leaders. Advanced SQL and Python skills, plus experience with AI-powered tools, are expected.

Qualifications

• Bachelor's degree in a quantitative field or equivalent practical experience.
• Advanced SQL and Python skills with statistical analysis and experimental design.
• Experience translating analyses into clear business recommendations.

Responsibilities

• Own and prioritize the analytics portfolio for a significant product or business area.
• Lead complex analyses balancing growth, credit performance, customer experience, and unit economics.
• Translate analytical findings into narratives and business cases for leadership.

Skills

General Manager mindset

Cross-functional leadership

SQL

Python

A/B testing

AI tools

Communication

Mentoring

Education

Bachelor's degree in quantitative field

Advanced degree

Tools

Cursor

Claude

AI analytics tools

Job description

At affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.

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

Remote-first with flexibility built in

Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.

Benefits designed for you

• Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
• Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
• Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
• Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy affirm stock at a discount.

We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.

For positions based in San Francisco or Los Angeles: affirm considers qualified applicants with arrest and conviction records, as required by law.

Demographic Survey Statement (US-based roles)

Affirm is dedicated to building an inclusive culture where affirmers belong and have an equal opportunity to thrive.

To help us assess our outreach efforts, we invite candidates to voluntarily share information through a short demographic survey. This information is:

• Completely optional
• Anonymized and stored in aggregate
• Not accessible to recruiters or hiring managers at the individual level
• Never used in any hiring decision

Your decision to provide or withhold this information will not impact your candidacy in any way.