JD Case Study · Affirm

Director, Analytics — Strategic Insights

A Director on Affirm’s Revenue team owning the KPIs, leading indicators, and strategic narrative across the merchant + consumer lifecycle. I’m bringing receipts: I’ve already published a full competitor spotlight on Affirm and built the lifecycle-analytics engine this role runs on. This case study connects the two.

Remote (US) · $245K–$325K · View the job description →

Jun 22, 2026

What they’re actually buying

Turn a BNPL marketplace’s data into the story leadership steers by. Define the KPI tree, surface the leading indicators (not just lagging reports), segment the merchant and consumer lifecycle, and translate it into narratives execs act on. The hard part isn’t the query — it’s owning the truth about what’s driving GMV, and where the next point of growth (or risk) actually is.

How I’d own it — first 90 days

Days 1–30

Map the KPI tree

Decompose GMV into its real drivers — new vs returning consumers, purchase frequency, AOV, 0%-vs-interest mix, merchant cohorts. Baseline the leading indicators and meet the Revenue, Product, and Finance partners.

Days 31–60

Build the leading-indicator layer

Ship a strategic-insights view that predicts, not just reports — early signals on cohort retention, Affirm Card attach, and merchant concentration. Flag the two or three narratives that actually matter this quarter.

Days 61–90

Land the first strategic readout

Deliver an exec narrative on the single biggest growth lever (likely Card attach or repeat frequency), with a measurement plan and an experiment behind it — and set the cadence for ongoing strategic insights.

Signature analysis: the BNPL consumer lifecycle

First purchase 100 indexed to 100

Repeat (2nd loan ≤12mo) 64

Affirm Card adopter 22

Habitual (monthly active) 15 the compounding base

The lever I’d lead with: Affirm Card attach. Card GMV grew +146% YoY — cardholders transact far more often than checkout-only users. The strategic story isn’t "Card is a product," it’s "Card is the frequency-and-retention multiplier" — so I’d model it as the engine of repeat GMV and instrument the path into it.

Illustrative figures to demonstrate the lens — a consumer lifecycle with the highest-leverage growth driver identified and framed for executives. The real version is built off cohort-level data.

Requirement → proof

What the JD asks for	What I’ve already shipped
KPI ownership, leading indicators, strategic narrative	A market-intelligence briefing built to surface the few narratives that matter — insight, not metrics.
Lifecycle analytics, segmentation, cohorts	A full acquisition→retention funnel + LTV model, calibrated to filed results.
Experimentation & causal inference	An A/B + incrementality readout with CIs and a sample-size calculator.
SQL / Python, modern warehouse	Show-the-SQL blocks under each chart, written warehouse-ready.
BNPL / consumer-finance domain	I literally published a full competitor spotlight on Affirm — financials, model, partnerships, risks.

The same engine

Most candidates would spend month one learning Affirm’s business. I already wrote the briefing on it — and the lifecycle-analytics engine behind this whole portfolio (funnel, LTV, experimentation, exec scorecard) is exactly what Strategic Insights runs on. I’d start from "here’s what’s driving your GMV," not "where’s the data."

Read my Affirm spotlight →

Hire the work, not the headcount

You’ve already priced this role. Here’s what the money buys.

Affirm says Director, Analytics — Strategic Insights is worth $245K–$325K a year (posted base range). Fully loaded — payroll taxes, health insurance, benefits, roughly +25% — the midpoint runs about $356K a year: $171 an hour, for all 2,080 hours, ramp and meetings included. And the ramp is real: a new leader’s breakeven averages about 6 months (Watkins, The First 90 Days) — call it $178K spent before the first shipped thing. The candidate who interviews well will be great in the room and diligent on the kanban board. What they won’t do is build the systems. That’s the part I sell.

The build · 90 days

$30,000

~120 hours ships the first-year plan on this page as working systems on your data — dashboards, pipelines, automations that keep running after I stop billing. Value in week one, not month 9. Compare: $178K for the hire’s ramp alone.

The rate

$250/hr

Yes — 1.5× your hire’s loaded hourly. But you buy the ~120 hours that ship, not the 2,080 that mostly don’t. Priced per outcome instead of per hour, it isn’t close.

The bench · after the build

$3,500/mo

My agents run your refreshes and monitors on a schedule — the same fleet that keeps this site’s data current — and I stay on call. Month to month; cancel anytime; the systems are yours either way.

Founding-build rate: the first 3 builds run $15,000 — half the list price — in exchange for a named, written case study. When the third case study ships, so does this rate.

Or keep the req. Hire the person who’s great in the room — and pay me to make them dangerous: the same $30,000 build, handed to your new director on day one, pulls their breakeven from month 6+ to month two. The expensive mistake isn’t the hire; it’s the hire with no system underneath them. This case study is the free sample of what the system looks like.

Email me the req All services & prices

I know Affirm’s business cold — I published the research, and I’ve shipped the analytics engine in public. Let’s talk about pointing it at your GMV. — Paul Brown