Data Analyst - Supply

Location: United Kingdom

Department: Data & AI

Data Analyst 

 

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. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models.

 

The role

As Prolific scales, maintaining a healthy and sustainable participant marketplace is critical to meeting the growing demand for high-quality human data. To champion this effort, you will own analytics across the entire participant lifecycle, spanning acquisition, onboarding, activation, engagement, quality, retention, and reactivation.

 

What you’ll bring to the role

• Esential: Experience analyzing user acquisition, onboarding, activation, engagement, retention, churn, and behavioral cohorts.
• 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.
• Experience designing and analyzing A/B or operational experiments, with solid grounding in statistical concepts and causal thinking.
• Ability to translate participant and marketplace challenges into measurable hypotheses, success metrics, and actionable recommendations.
• Strong ability to connect operational metrics to revenue, margin, and financial performance—understanding not just what is happening, but why it matters commercially.
• Comfortable operating with high autonomy in a fast-moving environment, 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 that shape strategy and execution.

 

What you'll be doing

• Working hands-on with SQL and Python
• Building the metrics, dashboards, and experimentation frameworks that help us understand behavior and improve the participant experience.
• Partnering closely with Product, Operations, Growth, and Data Science
• Identifying opportunities, structuring experiments, and translating complex marketplace data into clear decisions that ensure participant health, marketplace liquidity, and long-term supply sustainability.

 

Why Prolific is a great place to work

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation—one that reflects the breath and the best of humanity.

Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture.

 

Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.