Analytics Lead, Full Stack

Affirm

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$185,000–$245,000 / yr
Posted
55 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $173k
This role $215k
$114k $259k
below market most similar roles pay here above market

This role pays more than 84% of similar roles. Most pay $146,675–$199,650 — the blue band above. At the midpoint, this role pays about $215k versus about $173k 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 64 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

The Analytics Lead, Full Stack joins the POS Analytics team to drive growth strategy for major platform partners. In this role, you will own the analytics portfolio for significant business areas, identifying investment opportunities and measuring impact across customer experience, growth, risk, and profitability. You will lead complex analyses balancing credit performance and unit economics, translate findings into compelling narratives for leadership, and design actionable experiments to validate product-market fit. Key responsibilities include building scalable data models, metrics, dashboards, and AI-assisted analytical workflows. You must possess advanced SQL and Python skills, experience with statistical analysis and A/B testing, and proficiency with AI-powered tools like Cursor or Claude. The role requires deep knowledge of consumer lending economics, portfolio performance, and credit metrics within the payments space.

What you'll do

  • 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 clear narratives and business cases for leadership decisions.
  • Design actionable experiments to validate product-market fit and economic viability for ambiguous problems.
  • Build scalable data models, metrics, dashboards, and AI-assisted analytical workflows.
  • Mentor analysts and develop reusable analytical practices and tools to raise organizational impact.
  • Drive growth strategy for major platform partnerships by identifying and sizing opportunities.

What we're looking for

  • 6 or more years of experience in a cross-functional analytical role with demonstrated impact on product, risk, or business decisions.
  • Advanced SQL and Python skills, including statistical analysis, experimental design, and practical experience with A/B testing.
  • Strong understanding of the consumer lending and credit industry, including lending economics, portfolio performance, and credit metrics.
  • Ability to perform complex analyses and translate results into clear, actionable business recommendations for senior leadership.
  • Experience using AI-powered tools such as Cursor or Claude to accelerate analysis and automate workflows.
  • Ability to lead through influence across Product, Engineering, Finance, and Revenue teams without formal authority.
  • Bachelor’s degree in a quantitatively rigorous field or equivalent practical experience.
  • Advanced degree is a plus (preferred).

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