Offer summary

Qualifications:

2+ years of Data Analytics experience, Proficiency in SQL and modern BI tools (e.g. Metabase, Looker, Tableau), Strong understanding of engagement metrics and retention analysis, Proficient in statistical methodologies for forecasting and planning..

Key responsabilities:

Build and maintain dashboards for participant supply and demand tracking

Develop metrics for participant quality and data reliability

Manage reporting processes and deliver insights to stakeholders

Optimize processes through data-driven improvements and automation.

Job description

Data Analyst (Human Data Operations)

Analytics

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

We’re looking for a Data Analyst to help Prolific strategically scale our human data pool. Central to our mission of delivering high-quality data to cutting-edge AI developers, you’ll be responsible for analysing participant acquisition, engagement, and retention, providing actionable insights to enhance client outcomes and inform strategic decisions. Collaborating with cross-functional teams, you’ll integrate these insights into Prolific’s platform, driving improvements to our systems and processes.

This role offers the opportunity to shape Prolific’s long-term human data strategy and work at the intersection of human data operations, product innovation, and AI research while fostering a metrics-driven culture across the company.

What you’ll bring to the role

Analytics Expertise: 2+ years Data Analytics experience with proficiency in SQL and modern BI tools (e.g. Metabase, Looker, Tableau), with proven ability to build scalable reporting solutions.
User Analytics: Strong grasp of engagement metrics, retention analysis, and quality scoring systems to inform both internal strategies and external client outcomes.
Stakeholder Collaboration: Proven ability to build strong partnerships with internal teams and external stakeholders, aligning on shared metrics and delivering actionable insights that drive meaningful results.
Business Acumen & Data Storytelling: Adept at translating complex data into compelling narratives that influence decisions, combining a deep understanding of business priorities with impactful communication.
Forecasting & Statistical Knowledge: Proficient in statistical methodologies (e.g., Frequentist, Bayesian) and their application to forecasting, capacity planning, and experimentation pipelines.
Enablement & Advocacy: Passionate about empowering teams through self-service analytics, training, and fostering a culture of data-driven decision-making.
Process Design & Documentation: Experienced in establishing data governance practices, metric frameworks, and maintaining clear, accurate documentation.
Stakeholder Management: Track record of building strong partnerships across functions and seniority levels.

What you’ll be doing in the role

Supply Analytics: Build and maintain dashboards to track participant supply, demand, and utilisation across various task types and expertise levels, ensuring actionable insights for optimisation.
Quality Monitoring: Develop and monitor metrics for participant quality, task completion rates, and data reliability to ensure high standards for AI training and evaluation tasks.
Human Data KPIs: Strengthen and evolve key metrics to measure and optimise the performance of our human data pool.
Insights Delivery: Manage reporting processes and deliver actionable insights to internal and external stakeholders, balancing strategic priorities and deadlines.
Operational Excellence: Optimise processes within the Human Data group through data-driven improvements and automation.
Forecasting & Planning: Apply statistical methodologies to support supply/demand forecasting and capacity planning, directly informing strategic decisions.
Self-service Solutions: Design dashboards and tools to empower teams to independently access and act on insights.
Analytics Advocacy: Champion data-driven decision-making through training, clear documentation, and consistent analytics practices.
Analytics Infrastructure: Partner with other analysts and analytics engineering to ensure aligned metrics definitions and efficient data models.

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

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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