<h2 style="text-align: center;"><span style="font-family: tahoma, arial, helvetica, sans-serif;">Data Analyst (Supply)</span></h2> <p style="text-align: center;"><span style="color: rgb(126, 140, 141); font-family: tahoma, arial, helvetica, sans-serif;"><em>Prolific</em></span></p> <p><span style="font-family: tahoma, arial, helvetica, sans-serif;">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.
</span></p> <p style="text-align: center;"><span style="color: rgb(126, 140, 141); font-family: tahoma, arial, helvetica, sans-serif;"><em>The role</em></span></p> <p data-path-to-node="5,0">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.
</p> <p data-path-to-node="5,1">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.
</p> <p style="text-align: center;"><em>What you’ll bring to the role</em></p> <ul> <li><strong>Analytics Expertise:</strong> Advanced SQL and strong Python proficiency (e.
pandas, experimentation analysis, automation), with a track record of building scalable reporting frameworks in.