Data Analyst - Marketplace
Prolific is hiring a Data Analyst - Marketplace for a remote role open to applicants in United Kingdom. Level rates it ; you can apply on Prolific.
Level's read on this job
- Level rates this data analyst role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include SQL, Python and marketplace analytics.
- Level lists 30 other open roles at Prolific.
- The role was posted within the past two weeks.
AI in this role
Analyze marketplace performance, supply and demand balance, and A/B tests to support human data infrastructure for AI development at Prolific.
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 commoditised, it's the quality and diversity of human-generated data that truly differentiates products and models.
The role
As Prolific scales, maintaining a healthy and sustainable marketplace will be critical to our ability to meet growing demand for high-quality human data. We are looking for a Data Analyst to help us understand how well our marketplace is working, identify where supply and demand are not connecting effectively, and measure whether product and algorithmic improvements are delivering better outcomes. You will work closely with Product, Engineering and Operations teams, using data to answer important marketplace questions and support better product decisions.
What you’ll bring to the role
- Strong Analytics Skills: Strong SQL skills and experience analysing complex datasets. Python experience for analysis and experimentation is beneficial.
- Marketplace or Product Analytics: Experience working with marketplace, product or operational data and using metrics to understand user and business behaviour.
- Marketplace Metrics: Ability to work with measures such as supply and demand, fill rate, time-to-fill, availability, quality and concentration to understand marketplace performance.
- Experimentation: Experience analysing A/B tests or other experiments, including defining success metrics, interpreting results and communicating findings.
- Product Thinking: Ability to turn product or marketplace questions into measurable hypotheses and structured analysis.
- Analytical Curiosity: Comfortable exploring data to understand why something is happening, rather than only reporting what happened.
- Commercial Awareness: Ability to understand how marketplace performance affects customer experience and wider business outcomes.
- Collaboration: Comfortable working with Product, Engineering and Operations teams and contributing analytical thinking to cross-functional work.
- Clear Communication: Ability to translate analysis into simple, actionable insights for both technical and non-technical stakeholders.
What you'll be doing
- Help define, monitor and improve the metrics we use to understand marketplace health, including supply-demand balance, fulfilment, quality and concentration.
- Analyse marketplace performance and investigate changes in metrics such as fill rate, time-to-fill, participant availability and quality.
- Work with product and engineering teams to define success metrics and measure the impact of product and algorithmic improvements.
- Analyse experiments to understand whether changes to matching, ranking, recommendation or other marketplace experiences are improving outcomes.
- Build and maintain dashboards and reporting that make marketplace performance visible and actionable.
- Use SQL and other analytical tools to investigate marketplace behaviour, identify trends and surface opportunities or problems.
- Explore how marketplace outcomes differ across customers, participants, use cases and segments.
- Communicate findings clearly and help teams make data-informed product and operational decisions.
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 behavioural 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 behaviours 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.
How we rate this
Data Analyst - Marketplace at Prolific rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data analyst job
- $110k
This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs
Questions you could be asked
- Tell me about a project where marketplace analytics was part of your work. What did you do?
- Tell me about a project where product analytics was part of your work. What did you do?
- Tell me about a project where experimentation was part of your work. What did you do?
- Tell me about a project where sql was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Marketplace Analytics, Product Analytics, Experimentation, SQL, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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