Data Analyst

Analytics Expertise:

Advanced SQL and strong Python proficiency (e.g.

pandas, experimentation analysis, automation), with a track record of building scalable reporting frameworks in modern BI tools (Metabase, Looker, Tableau).

Comfortable owning problems end-to-end — from raw data to executive-ready insight.

Experimentation & Statistics:

Experience designing and analysing A/B or operational experiments, with solid grounding in statistical concepts and causal thinking.

External Handbook

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As Prolific scales its AI Services and partnerships, the way we measure performance will define how far and how fast we grow.

You’ll own the analytics that shape how this part of the business evolves.

From defining what “great” looks like in our metrics, to building dashboards and structuring experiments, to presenting insights directly to senior stakeholders — you’ll connect operational reality to commercial outcomes.

Working hands-on across SQL, Python, experimentation, and stakeholder conversations, you’ll transform raw data into clarity around revenue, quality, and profitability.

This is a high-impact role at the intersection of commercial growth, delivery excellence, and product evolution.