Analytics Lead, Full Stack

Affirm; Las Vegas (NV); On-site; USD 164,000 - 224,000; Full time

Benefits offered by this job

Health coverage

Tech stipends

Flexible time off

Employee stock purchase plan

Job summary

Affirm is seeking an Analytics Lead, Full Stack to drive the growth strategy for key platform partnerships. You will identify growth opportunities, shape product and investment decisions, and measure impact with cross-functional teams including Strategic Partnerships, Product, Finance, Engineering, and Pricing.

The role requires a GM mindset, deep risk and product intuition, and a track record of delivering measurable analytics results.

Qualifications

• 6+ years in cross-functional analytics driving product or risk decisions.
• Strong SQL and Python with experience in experimental design and A/B testing.
• Ability to translate analyses into actionable business recommendations.
• Experience using AI-powered tools to accelerate analysis and automate workflows.

Responsibilities

• Own analytics portfolio for a major product or business area and measure impact.
• Lead analyses balancing growth, credit performance, and unit economics.
• Translate findings into narratives and business cases for leadership.
• Design experiments to validate product-market fit and economics.
• Collaborate across Product, Engineering, Finance, Revenue to align decisions.
• Develop scalable data models, dashboards, and AI-assisted workflows.
• Mentor analysts and develop reusable analytic practices.

Skills

SQL

Python

Data analysis

Cross-functional leadership

Experiment design

A/B testing

AI tools

Education

Bachelor's degree in a quantitative field

Tools

AI tools (Cursor/Claude)

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

Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:

• 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.