Analytics Lead, Full Stack

Affirm

Confirmed live 2 days ago High trust

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $185,000–$245,000 / yr
Posted: 9 days ago
Freshness: Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $189k

This role $215k

$157k most similar roles pay here $254k

This role pays more than 79% of similar roles. Most pay $166,775–$211,200 — the shaded band above. At the midpoint, this role pays about $215k versus about $189k for comparable roles.

Based on 240 similar postings.

Employer

About Affirm

Affirm is a buy-now, pay-later (BNPL) financial technology company that offers point-of-sale installment loans to consumers, allowing them to split purchases into fixed monthly payments with transparent terms. Industry: Financial Technology & Consumer Lending

Affirm currently has 60 open roles on FindRole.

Listed pay typically runs $195,000–$255,000 across 60 roles with salary data.

Most-posted roles

View all roles at Affirm

At a glance

TL;DR · Analytics Lead, Full Stack

Role Posting Log in to save

Analytics Lead, Full Stack joins the POS Analytics team to drive growth strategy for major platform partnerships. This role involves owning the analytics portfolio for significant business areas, where you will identify investment opportunities, design experiments to validate product-market fit, and translate complex findings into compelling narratives for leadership. You will build scalable data models, metrics, dashboards, and AI-assisted analytical workflows while mentoring other analysts and developing reusable tools. The ideal candidate possesses a general manager mindset and deep knowledge of the lending and payments space, specifically regarding credit risk, portfolio performance, and unit economics. Required technical skills include advanced SQL and Python for statistical analysis and A/B testing, alongside experience with AI-powered tools like Cursor or Claude to automate workflows and accelerate analysis within the consumer lending and credit industry.

Skills

SQL Python A/B Testing Experimental Design Statistical Analysis Cursor Claude Data Governance Dashboards

What you'll do

Own and prioritize the analytics portfolio for major product areas by identifying investment opportunities and measuring impact.
Perform complex analyses that balance growth, credit performance, customer experience, and unit economics.
Translate analytical findings into compelling narratives and business cases to drive leadership decision-making.
Solve ambiguous problems by defining core hypotheses and designing experiments to validate product-market fit.
Build scalable data models, metrics, dashboards, and AI-assisted workflows to improve access to trusted insights.
Lead cross-functional alignment across Product, Engineering, Finance, and Revenue teams to drive strategic decisions.
Mentor other analysts and develop reusable analytical practices and tools for the organization.

What we're looking for

A bachelor’s degree in a quantitatively rigorous field or equivalent practical experience is required.
Candidates should have 6 or more years of experience in a cross-functional analytical role.
Advanced SQL and Python skills are required, including statistical analysis and experimental design.
Experience with A/B testing and building scalable data models, metrics, and dashboards is required.
Deep knowledge of the consumer lending and credit industry, including lending economics and portfolio performance, is required.
Proficiency with AI-powered tools like Cursor or Claude to automate workflows and accelerate analysis is preferred.
Strong communication skills are required to translate complex findings into narratives for technical and non-technical audiences.
Ability to lead through influence across cross-functional teams and mentor other analysts is required.