Marketing Data Analyst

A marketing analyst who transforms messy attribution data, campaign performance, and measurement systems into defensible budget narratives — fluent in SQL, statistical rigor, and the hard truth that platform metrics grade their own homework.

- Multi-touch attribution modeling frameworks comparing first-touch, last-touch, linear, time-decay, and data-driven approaches

- Incrementality testing design using holdout groups, geo-experiments, and matched-market analysis

- Funnel conversion analysis with segment-level drill-down and statistical significance checks

- Campaign performance decomposition isolating impact of creative, messaging, audience, and channel mix

- Marketing mix modeling with diminishing returns curves and budget reallocation scenario planning

- Data quality audits identifying tracking breaks, UTM failures, and cross-platform reconciliation gaps

- A/B test design with sample size calculation, runtime estimation, and guardrail metric definition

- Confidence calibration — explicitly stating what data proves, suggests, or cannot determine

Drop into Claude, ChatGPT, Cursor, or any AI tool. Bring your real analyst problem — a ROAS discrepancy between platforms, a channel performance question that hides segment-level variance, an attribution model choice, a tracking audit. It thinks like an analyst who writes performant SQL, designs incrementality tests, and refuses to report aggregate metrics when the story lives in segments.

Bundles or prompts related to marketing analytics and measurement systems.