1 day ago

Data Analyst (Supply)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Own analytics across the participant lifecycle, from acquisition through onboarding, activation, engagement, quality, retention, and reactivation. Use SQL and Python to build metrics, dashboards, and experimentation frameworks, partnering with Product, Operations, Growth, and Data Science to translate marketplace data into clear decisions that improve participant experience, liquidity, and long-term supply sustainability.

Location: London

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Own analytics across the entire participant lifecycle, including acquisition, onboarding, activation, engagement, quality, retention, and reactivation.
•Build metrics, dashboards, and experimentation frameworks using SQL and Python.
•Partner with Product, Operations, Growth, and Data Science to identify opportunities and structure experiments.
•Translate complex marketplace data into clear decisions that support participant health and marketplace liquidity.
•Develop experiments and use statistical and causal thinking to improve the participant experience and supply sustainability.

Key Requirements

•Advanced SQL and strong Python proficiency (e.g., pandas, experimentation analysis, automation), with experience building scalable reporting frameworks in modern BI tools.
•Comfort owning problems end-to-end, from raw data to executive-ready insight.
•Experience analyzing user acquisition, onboarding, activation, engagement, retention, churn, and behavioral cohorts.
•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.

Experience:B2BTwo-sided marketplaceExperimentationAI data

Skills:Problem-solvingStakeholder managementCommunicationAutonomyAnalytical thinking

Languages:English

Tech Stack:SQLPythonPandasMetabaseLookerTableau

Company Brief

Prolific

Operates an online participant recruitment platform connecting researchers and companies with vetted participants for academic and market research studies, offering survey hosting, participant management, and data quality tools.

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: Oxford, United Kingdom

Founded: 2014

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

Prolific

1 day ago

Data Analyst (Supply)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: London

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Own analytics across the entire participant lifecycle, including acquisition, onboarding, activation, engagement, quality, retention, and reactivation.
•Build metrics, dashboards, and experimentation frameworks using SQL and Python.
•Partner with Product, Operations, Growth, and Data Science to identify opportunities and structure experiments.
•Translate complex marketplace data into clear decisions that support participant health and marketplace liquidity.
•Develop experiments and use statistical and causal thinking to improve the participant experience and supply sustainability.

Key Requirements

•Advanced SQL and strong Python proficiency (e.g., pandas, experimentation analysis, automation), with experience building scalable reporting frameworks in modern BI tools.
•Comfort owning problems end-to-end, from raw data to executive-ready insight.
•Experience analyzing user acquisition, onboarding, activation, engagement, retention, churn, and behavioral cohorts.
•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.

Experience:B2BTwo-sided marketplaceExperimentationAI data

Skills:Problem-solvingStakeholder managementCommunicationAutonomyAnalytical thinking

Languages:English

Tech Stack:SQLPythonPandasMetabaseLookerTableau

Company Brief

Prolific

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: Oxford, United Kingdom

Founded: 2014

Website LinkedIn