KPIs for data analysts

43 levels in 6 chapters

Learn the business metrics every analyst reports: revenue, AOV, LTV, CAC, conversion, retention, churn and margin, defined honestly and computed in SQL and pandas on real store data.

You can define a KPI so it cannot lie, compute it from raw orders, spot a ratio that moved because the mix moved, and build the KPI sheet a leadership team reads every week. Every level is open; the path only suggests an order.

Chapter 1 · 7 levels

Revenue and orders

7 lanterns to light

Chapter 2 · 8 levels

Customers

8 lanterns to light

Chapter 3 · 7 levels

Funnels and conversion

7 lanterns to light

Chapter 4 · 7 levels

Retention and churn

7 lanterns to light

Chapter 5 · 7 levels

Profitability

7 lanterns to light

Chapter 6 · 7 levels

KPI design and dashboards

7 lanterns to light

Laura Bennett · Head of Finance

"Marketing says 2025 sales were $2.6M, my ledger says less. Before we argue, give me three numbers for 2025 on our definitions: gross sales, what discounts took off, and net sales."

Light the next lantern

Pick what may run on this site. You can change this any time from "Cookie settings" at the bottom of every page.