Data Analyst, Prolific
High-quality human-powered data at scale
Posted today
High-quality human-powered data at scale
101-200 employees
Posted today
101-200 employees
Company mission
To accelerate human understanding.
Role
Who you are
- 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
What the job involves
- 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
Our take
Founded in 2014, Prolific is a marketplace and data analysis company that provides researchers with a network of test participants. From eye-tracking to human-facing AI applications, Prolific’s network acts as both a recruiter for test participants and as a marketplace for researchers scientists to hire said participants.
Founded in 2014, it’s already used by the likes of Google, Stanford, Oxford and Kings College London Universities to test new AI products, providing “stress tests” for its clients. Prolific’s user base now counts over 2000 potential test subjects, whilst researchers leverage its network to launch surveys, tests and evaluation tasks every 2 minutes.
An indicator of Prolific’s success is maintaining of profitability for years after its initial Y Combinator investment. In 2024, it raised $32 million in Series A to maintain its healthy position. This funding will allow it to expand its operations.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Jul 2023
$33.2m
Series A
Total funding: $33.2m
Company benefits
- Bank holiday swaps
- Enhanced sick pay
- L&D budget – £1000 per year
- 25 days annual leave + bank holidays
Company values
- We win together
- We care deeply about our customers
- We make every minute count
- We're optimistic and find a way
- We embrace change
- We aim high
Company HQ
Kings Cross, London, UK
Leadership
Phelim Bradley
(Co-Founder & CEO)Currently also Venture Partner at Pioneer Fund. Previously Dphil at Wellcome Trust Centre for Human Genetics, Bioinformatics Intern at Illumina and MPhil of Computer Biology at University of Cambridge.
Diversity, Equity & Inclusion at Prolific
- At Prolific, we want all of our employees, researchers, and participants to be included and so we commit to having ongoing discussions about diversity and inclusion and regularly look at areas where we can improve. This policy aims to: - treat all our employees fairly and respectfully, regardless of their job status, location, or work hours ⏰ - avoid any illegal discrimination based on age, disability, gender, gender identity, marriage or civil partnership, pregnancy and maternity, race or ethnicity, religion or belief, sexual orientation, and traveler status. These are protected by the UK Equality Act (2010), Ireland Employment Equality Act (2004), Americans with Disabilities Act (ADA) at the federal level and the New York State Human Rights Law (NYSHRL) at the state level. ⚖️ - refuse to tolerate any kind of illegal discrimination 🙅🏻♀️. This includes pay and benefits, work conditions, grievance and discipline handling, termination, redundancy, parental leave, flexible working requests, employment selection, promotion, training, and other opportunities for development.
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