Data Analyst

Prolific

34d•Remote

About The Position

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 its AI Services and partnerships, the way we measure performance will define how far and how fast we grow. This role exists to build that foundation — creating the metrics, experimentation discipline, and insight systems that turn complexity into confident decisions. You’ll own the analytics that shape how this part of the business evolves. From defining what “great” looks like in our metrics, to building dashboards and structuring experiments, to presenting insights directly to senior stakeholders — you’ll connect operational reality to commercial outcomes. Working hands-on across SQL, Python, experimentation, and stakeholder conversations, you’ll transform raw data into clarity around revenue, quality, and profitability. This is a high-impact role at the intersection of commercial growth, delivery excellence, and product evolution.

Requirements

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.
Experimentation & Statistics: Experience designing and analysing A/B or operational experiments, with solid grounding in statistical concepts and causal thinking.
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.