Senior Data Analyst - Marketplace

present of AI; United Kingdom; À distance; GBP 40 000 - 64 000; Plein temps

Résumé du poste

present of AI is seeking an analytics professional to dive into marketplace data, explain how supply and demand meet, and translate questions into measurable analysis. You’ll work with SQL, Python, and experiment design, presenting findings to cross-functional teams.

Experience with A/B tests and interpreting marketplace metrics will help shape AI-driven improvements and better real-time matching strategies.

Qualifications

• Proficient in SQL and able to analyze complex marketplace data.
• Experience with product or marketplace metrics and experiments.
• Ability to turn open product questions into measurable analysis and communicate findings to mixed teams.

Responsabilités

• Analyze marketplace data and explain how supply and demand are meeting.
• Design and read experiments to evaluate product changes and their impact.

Connaissances

SQL

Marketplace metrics

Experiment design

A/B testing

Python

Communication

Outils

Python

SQL

Description du poste

This role asks for someone who can dig into marketplace data and explain how well supply and demand are meeting. A strong candidate brings solid SQL, experience with product or marketplace metrics, and the ability to design and read experiments. Turning open product questions into measurable analysis and explaining findings to mixed teams matters as much as the technical work.

How it fits the AI era

AI makes it easier to generate and analyse large volumes of data, so the analyst's value shifts toward framing the right questions and judging what the numbers mean. The work of defining marketplace health, spotting where matching breaks down, and interpreting experiment results stays human. The role sits close to AI driven matching and ranking, so understanding how those changes affect real outcomes is central.

How it builds AI experience

The company collects human feedback for researchers and AI labs, so the analyst would gain exposure to how human data quality is measured and protected against fake responses. Building experience with experiment analysis and marketplace metrics in this setting would show how AI systems depend on reliable human input. Practical work with SQL and Python on real marketplace data would strengthen that foundation.

Worth showing

• Strong SQL on complex data
• A/B test analysis
• Python for analysis
• Clear stakeholder communication

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Prolific

A platform of ID-verified human participants that researchers and AI labs use to collect real human feedback, at a time when AI-generated fake responses are becoming a growing problem in online research.