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2 days agogreenhouse

Data Analyst - Supply

Prolific / Software Development
United Kingdom | RemoteRemote OKFull Time
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AI Summary

Own analytics across the participant lifecycle, building metrics, dashboards, and experimentation frameworks to improve participant experience and marketplace health. Partner with Product, Operations, Growth, and Data Science to analyze marketplace data, identify opportunities, and deliver clear, commercially relevant decisions.

Requires advanced SQL, strong Python skills, experience with scalable BI reporting, lifecycle analytics, and designing and analyzing experiments. Candidates should demonstrate product and commercial thinking, understanding of two-sided marketplace economics, autonomy, cross-functional stakeholder partnership, and clear communication.

Job Details
Job Type: FULL TIME
Visa Sponsorship: No
Work Arrangement: Remote OK
Experience Level: 5 - 10 years
Hours: 40 hrs/week
Language: English
Benefits
Competitive SalaryBenefitsRemote Working
Key Skills
Advanced SQLPythonPandasExperimentation AnalysisAutomationBusiness Intelligence ToolsLifecycle AnalyticsA/B TestingStatistical AnalysisCausal ThinkingProduct AnalyticsCommercial AcumenStakeholder ManagementMarketplace EconomicsData VisualizationCommunication
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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 commoditised, 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 will be critical to our ability to meet growing demand for high-quality human data. This role will own analytics across the participant lifecycle, from acquisition and onboarding through activation, engagement, quality, retention, and reactivation.

You’ll build the metrics, dashboards, and experimentation frameworks that help us understand participant behaviour and improve the participant experience. You’ll work closely with Product, Operations, Growth, and Data Science to identify opportunities, structure experiments, and turn complex marketplace data into clear decisions.

Working hands-on across SQL, Python, experimentation, and stakeholder conversations, you’ll create clarity around 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 behavioural 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 behaviours 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.



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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.



About Prolific

Prolific is a technology company that empowers researchers to efficiently collect high-quality, ethically sourced human data from a diverse global community.

Software Development
1,526 employees
London
Most staff in USA
$34M raised
Employee ratings
From Glassdoor · 94 reviews · View profile
Work–life balance4.2
Diversity & inclusion3.9
Senior management3.8
Compensation & benefits3.7
Culture & values3.6
Career opportunities3.4
73%
would recommend to a friend
69%
positive business outlook
Categories
Artificial Intelligence (AI)CrowdsourcingData Collection and LabelingMachine LearningMarket ResearchProduct Research
Specialties
crowdsourcingparticipant recruitmentonline researchaidata collectiondata labelingai traininghuman dataglobal participant poolai model developmentand machine learning