Analytics Lead, Full Stack
Affirm
$164,000–$245,000from the description
Jul 20, 2026
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Jul 21, 2026
What this job asks for AI summary
This role sits within the Merchant Pricing team and focuses on expanding pricing strategy into international markets. Day-to-day work involves structuring deal economics, conducting quantitative and economic analyses, designing and testing pricing constructs, and collaborating with teams across partnerships, product, credit, and engineering. It suits an experienced analytical professional with a background in lending, payments, or related financial domains.
Senior level · 6+ years · Remote · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 1,650 people nationally plausibly meet what this posting asks for (operations research analysts). range 700–2,500
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $90,896 (middle half $69,863–$128,761). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The title 'Analytics Lead, Full Stack' carries no standard seniority level word, so the title states no level; the 6+ years requirement and cross-functional ownership scope support a Senior classification.
SOC classification is a judgement call: the role is primarily pricing/economic analysis (15-2031 Operations Research Analysts) with meaningful data/scripting work (SQL, Python, Snowflake) that could also fit 15-2051 Data Scientists; 15-2031 was chosen as the primary given the emphasis on pricing strategy, deal economics, and portfolio optimization rather than ML/modeling.
Python is listed alongside 'or others' as a scripting language option, but it is named explicitly under the requirements section alongside SQL, so both are marked required; 'or others' signals openness to additional languages, not optionality of scripting itself.
Compensation is quoted in two US geographic tiers: $185,000–$245,000 (CA, WA, NY, NJ, CT) and $164,000–$224,000 (all other US states). The min/max here reflect the full national range ($164K–$245K).
AI tools are called out as a strong preference ('strong curiosity and bias toward leveraging AI tools') but are framed as a mindset/approach rather than a named technology, so no specific AI tool skill was emitted.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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