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Data Analyst - Supply

Role overview

Qualifications

  • Advanced SQL and strong Python proficiency
  • Experience analysing user acquisition, onboarding, activation, engagement, retention, churn, and behavioural cohorts
  • Experience designing and analysing A/B or operational experiments
  • Strong ability to connect operational metrics to revenue, margin, and financial performance

Responsibilities

  • Own analytics across the entire participant lifecycle
  • Build metrics, dashboards, and experimentation frameworks
  • Identify opportunities and structure experiments
  • Translate complex marketplace data into clear decisions

About the company

Prolific logo

Prolific

Prolific is a technology company that enables researchers in AI, industry, and academia to collect high-quality human-powered data at scale. With Prolific, people are driving breakthroughs in science, technology, and society. Our products and services make it quicker and easier for people to secure data they can depend on - data from a global community of verified, diverse, and ethically treated research participants. Our mission is to accelerate human understanding. To empower thinkers, creators, and innovators to explore new frontiers, build transformative solutions, and make the impossible possible. Prolific has been ranked among the fastest-growing businesses in the Financial Times 1000 in 2024 and the Deloitte Technology Fast 50 in 2023.

Company details

Company size51 - 200

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Job description

Data Analyst (Supply)

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.

Working hands-on with SQL and Python, you will build the metrics, dashboards, and experimentation frameworks that help us understand behavior and improve the participant experience. By partnering closely with Product, Operations, Growth, and Data Science, you will identify opportunities, structure experiments, and translate complex marketplace data into clear decisions that ensure participant health, marketplace liquidity, and long-term supply sustainability.

What you’ll bring to the role

  • 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.
  • 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.
  • Autonomy & Ownership: Comfortable operating with high autonomy in a fast-moving environment, setting priorities, challenging assumptions, and driving initiatives from problem definition through implementation.
  • Stakeholder Management: Proven ability to partner across Product, Operations, Commercial, and Finance functions.
  • 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.

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.

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Marcus Rivera

Chief Revenue Officer

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