Prolific

Data analyst in participant marketplaces

In short

Senior Data Analyst role at Prolific, a company building human data infrastructure for AI, focused on end-to-end analytics for the participant marketplace lifecycle (acquisition, engagement, retention). The job requires close partnership with Product, Operations, Growth, Data Science, and Executive Leadership to drive strategic decisions through dashboards and experimentation. It demands advanced SQL and Python skills, experience with BI tools (Metabase, Looker, Tableau, Hex), strong experimentation/statistics background, and proven ability to influence senior stakeholders. The position is fully remote.

About Prolific
Prolific is not just another player in the AI space—we are the architects of the human data infrastructure that's reshaping the landscape of AI development. As Prolific scales, maintaining a healthy and sustainable participant marketplace will be critical to our ability to meet growing demand for high-quality human data. We are looking for a Senior Data Analyst who can independently drive strategic marketplace analytics and act as an end-to-end partner across product, operations, and leadership.
Responsibilities
•Autonomously own analytics across the full participant lifecycle—from acquisition and onboarding through activation, engagement, quality, retention, and reactivation
•Define and build strategic metrics, executive-facing dashboards, and robust experimentation frameworks that reveal participant behavior and optimize marketplace dynamics
•Work closely with Product, Operations, Growth, Data Science, and Executive Leadership to identify growth drivers, structure complex experiments, and translate intricate marketplace data into high-impact strategic decisions
•Work hands-on across SQL, Python, experimentation, and senior stakeholder leadership to drive alignment around participant health, marketplace liquidity, unit economics, and long-term supply sustainability
Requirements
•Senior Analytics Expertise: Advanced SQL and strong Python proficiency (e.g. pandas, experimentation analysis, automation), with a proven track record of architecting scalable reporting frameworks and data marts in modern BI tools (Metabase, Looker, Tableau, Hex)
•Demonstrated capability to independently own ambiguous problems end-to-end — from complex raw data to executive-ready strategic insights
•Lifecycle Analytics: Experience analysing user acquisition, onboarding, activation, engagement, retention, churn, and behavioural cohorts
•Experimentation & Statistics: Experience designing and analysing A/B or operational experiments, with solid grounding in statistical concepts and causal thinking
•Product Thinking: Ability to translate participant and marketplace challenges into measurable hypotheses, success metrics, and actionable recommendations
•Commercial Acumen: Strong ability to connect operational metrics to revenue, margin, and financial performance — understanding not just what is happening, but why it matters commercially
•Strategic Autonomy & Ownership: Exceptional ability to operate with high autonomy in a dynamic environment, independently setting priorities, challenging assumptions, framing complex problems, and driving strategic initiatives from initial hypothesis through execution
•Executive Leadership & Stakeholder Management: Proven track record of influencing senior leadership and cross-functional partners across Product, Operations, Commercial, and Finance functions, telling compelling data-driven stories that shape strategy
•Marketplace Understanding: Strong grasp of B2B and two-sided marketplace metrics and economics
•Clear Communication: Ability to translate complex analysis into concise, decision-ready insights that shape strategy and execution
Conditions
Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.

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