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Prolific is building the human data infrastructure that powers AI development. As a data-driven company operating a two-sided marketplace connecting researchers and participants, Prolific needs analytics expertise to scale sustainably.
In this role, you will own analytics across the participant lifecycle—from acquisition and onboarding through activation, engagement, quality, retention, and reactivation. You'll build metrics, dashboards, and experimentation frameworks that help the team understand participant behaviour and improve the participant experience.
You'll work closely with Product, Operations, Growth, and Data Science teams to identify opportunities, structure experiments, and translate complex marketplace data into clear, actionable decisions. Working hands-on with SQL, Python, and modern BI tools, you'll create clarity around participant health, marketplace liquidity, and long-term supply sustainability. Your analysis will directly inform strategy and execution across the organization.
Key responsibilities include:
- Building scalable reporting frameworks and dashboards in modern BI tools (Metabase, Looker, Tableau)
- Designing and analysing A/B and operational experiments with statistical rigor
- Analysing user acquisition, onboarding, activation, engagement, retention, and churn patterns
- Translating participant and marketplace challenges into measurable hypotheses and success metrics
- Connecting operational metrics to revenue, margin, and financial performance
- Partnering across Product, Operations, Commercial, and Finance functions
- Operating with high autonomy in a fast-moving environment, setting priorities and driving initiatives end-to-end
Requirements:
- Advanced SQL and strong Python proficiency (pandas, experimentation analysis, automation)
- Track record of building scalable reporting frameworks in modern BI tools
- Experience analysing user acquisition, onboarding, activation, engagement, retention, churn, and behavioural cohorts
- Experience designing and analysing A/B or operational experiments with solid grounding in statistical concepts and causal thinking
- Ability to translate participant and marketplace challenges into measurable hypotheses and actionable recommendations
- Strong ability to connect operational metrics to revenue, margin, and financial performance
- Comfortable operating with high autonomy, setting priorities, challenging assumptions, and driving initiatives from problem definition through implementation
- Proven ability to partner across Product, Operations, Commercial, and Finance functions
- Strong grasp of B2B and two-sided marketplace metrics and economics
- Ability to translate complex analysis into concise, decision-ready insights
