---
title: 'Analytics Engineer at Prolific'
canonical: 'https://feeny.ai/job/analytics-engineer-prolific-united-kingdom-313qkrcfc86z'
type: 'job'
last_seen: '2026-10-18'
---

# Analytics Engineer at Prolific 

- **Company:** Prolific 
- **Location:** United Kingdom
- **Work type:** remote
- **Posted:** 2025-04-08
- **Last confirmed live:** 2026-10-18
- **Apply:** https://job-boards.eu.greenhouse.io/prolific/jobs/4571081101

## Job description

Analytics Engineer

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 commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models.

## The role

As an Analytics Engineer in the Data Infrastructure Team at Prolific, you’ll be at the forefront of transforming and maintaining Prolific’s data infrastructure as the way people work with data changes rapidly. Your work will be instrumental in redesigning and scaling our data stack, ensuring data pipelines are robust, efficient, and reliable, and that our data is ready to be queried by people and AI systems alike.

By owning and optimising our analytics codebase and semantic layer, you’ll empower teams across the business to get trustworthy answers, whether through BI dashboards or natural language questions. You’ll help shape how we bring LLMs and agents into analytics engineering safely and effectively, and you’ll bridge the gap between technical and non-technical stakeholders so that complex data solutions are clearly understood and aligned with business goals.

## What you’ll bring to the role

- Expertise in dbt & SQL: Deep experience with dbt and SQL to design, build, and maintain scalable data models.
- Semantic Modelling: Experience defining metrics, entities, and business logic in a semantic layer (e.g. dbt Semantic Layer/MetricFlow, Cube, LookML or similar), with an understanding of what makes a model reliable for natural language querying.
- Applied AI in Data Workflows: Hands-on experience using LLMs in data work, such as classification, extraction, or enrichment within transformations, and an understanding of how to evaluate, test, and govern outputs that aren’t fully deterministic.
- Agentic Tooling: Familiarity with AI coding assistants and agents (e.g. Claude Code, Cursor, MCP-based tooling) and a practical view on where they speed up analytics engineering and where human review is essential.
- Cloud Technology Knowledge: Strong familiarity with cloud platforms such as AWS or GCP.
- Data Accuracy Focus: Passion for ensuring high data quality through tests, assertions, evaluations, and robust documentation.
- Commercial Acumen: Ability to understand business needs and communicate effectively with non-technical stakeholders.
- Collaboration: Skilled at working cross functionally and translating complex technical concepts into actionable insights for the business.
- Process-Driven: Proficiency in designing repeatable, scalable workflows for data transformation, including ones that combine automated agents with human oversight.

## What you’ll be doing in the role

- Building Data Models: Create complex dbt models, custom macros, and reusable packages. Optimize transformations and implement robust testing strategies to ensure data integrity and model performance.
- Building the Semantic Layer: Design and maintain a semantic layer with well-defined metrics, dimensions, and descriptions so that stakeholders and AI assistants can query company data in natural language and get consistent, accurate answers.
- Introducing Non-Deterministic Transformations: Build and productionise LLM-powered steps within our pipelines, such as categorizing free text or enriching records, with clear evaluation frameworks, cost and latency monitoring, and fallbacks to keep results trustworthy.
- Developing Agentic Workflows: Design and adopt agentic workflows across the analytics engineering lifecycle, including model generation, documentation, test coverage, code review, and incident triage, while defining the guardrails and review processes that keep quality high.
- Ownership: Monitor and maintain dbt workflow jobs, ensuring smooth data refreshes and up-to-date pipelines. You’ll also be responsible for data models powering BI analytics and company-level reporting.
- Ensuring Data Accuracy: Write tests and assertions to validate data integrity and consistency across models, and build evaluation sets to measure the accuracy of natural language and LLM-driven outputs.
- Documenting and Standardising: Create and maintain thorough documentation of dbt processes and semantic definitions, treating metadata as a first-class asset since it directly shapes the quality of AI-generated answers.
- Translating Complex Data Concepts: Act as a key communicator, translating technical data issues into understandable business terms for stakeholders.
- Mentoring Team Members: Support junior analysts and data engineers, especially in setting up experimentation platforms, adopting AI tooling responsibly, and following data best practices.
- Collaborating Across Teams: Work closely with product, engineering, and BI teams to ensure data infrastructure supports evolving business needs, including AI-driven products and internal tools.

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 behavioral 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 behaviors 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 breadth 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

[Benefits](https://www.notion.so/prolific/dbc97f2b3ff24f1bb6fa834a2c9c3283?v=4f874e88e46a4f54afd8bf62f1db19ed&p=9f2c1de05dfa43338d48c20362bfead1&pm=c)

[External Handbook](https://www.notion.so/prolific/dbc97f2b3ff24f1bb6fa834a2c9c3283?v=4f874e88e46a4f54afd8bf62f1db19ed)

[Website](https://www.prolific.com/)

[Youtube](https://www.youtube.com/@JoinProlific)

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](https://www.notion.so/prolific/Policy-Privacy-Notice-for-Candidates-f94a136a67544388b4888bc436451b57) 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.

## About Prolific 

## Company Overview
- **One-liner**: Prolific is a technology company that provides a platform for collecting high-quality, human-derived data from verified participants, used by AI developers, researchers, and organizations for AI training, surveys, and user research.
- **Entity Type**: Private (Series A)
- **Headquarters**: London, UK (with a New York City hub and remote presence across the US and UK)
- **Founded**: 2014
- **Founders**: Phelim Bradley, Ph.D. (CEO & Co-founder)

## Core Business
- **Primary industry/industries**: AI data services, market research, academic research, human-in-the-loop AI
- **Target customers**: B2B — AI developers, academic researchers, product teams, and enterprise organizations (35,000+ data collectors use the platform)
- **Mission or purpose statement**: "To help thinkers, creators, and innovators make the impossible possible" by building a future where human insight drives breakthroughs in science, technology, and society.

## Products & Services
- **Prolific Platform**: A web-based platform that connects researchers and AI developers with a pool of 200,000+ active, verified participants for online studies. Studies launch every 2 minutes, with a 97% completion rate and data sets delivered in under 2 hours on average.
- **AI Training & Evaluation**: Human feedback from representative populations for preference tuning, safety evaluations, and benchmarks. Used to defend AI model quality.
- **Research Services**: Accelerated research through insights from verified participants, supporting behavioral research, surveys, and user testing.
- **Participant Marketplace**: A paid participant side where individuals can join paid online studies with flexible scheduling and real payouts.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: $32 million in Series A funding (secured in 2023)
- **Notable Investors/Partners**: Series A funding of $32M (lead investors not specified in available data); trusted by thousands of organizations including cutting-edge AI startups and Ivy League universities.
- **Growth Signals**: 
  - Expanded into the US with a New York City hub (announced February 2024)
  - 172 open job listings across multiple departments (as of mid-2026)
  - 700+ studies launch every day on the platform
  - Participants from 38+ countries speaking 80+ languages
  - 10,000+ organizations use Prolific
  - 35,000+ data collectors use the platform

## Competitive Advantages
- **Verified participant pool**: All participants are actively vetted, verified, and fairly paid, ensuring high-quality, trustworthy data without the noise of typical survey platforms.
- **Speed and reliability**: Data sets are delivered in under 2 hours on average, with a 97% study completion rate — a significant moat for time-sensitive AI and research projects.
- **Representative populations**: Ability to source diverse, representative participant pools for AI safety evals and benchmarks, critical for regulatory compliance and model defensibility.
- **Trusted brand**: 10 years of operation, trusted by leading academics, AI developers, and Ivy League universities.

## Strategic Focus
- **AI and human data**: Continuing to build the "biggest pool of human-derived data in the world" with a focus on powering AI training, safety evaluations, and benchmarks.
- **US expansion**: Opening a New York City hub and hiring across the US (San Francisco, Seattle, New York) signals a major push into the North American market.
- **Product development**: Active hiring for product, engineering, data science, and AI research roles indicates ongoing platform innovation and scaling.
- **Enterprise growth**: Hiring for Strategic Customer Success Managers, Solutions Engineers, and Strategic Account Executives suggests a focus on enterprise and strategic accounts.

## Why Work Here
- **Remote-first culture**: Prolific is remote-first with flexible work arrangements. Employees report high satisfaction with working location freedom (FlexScore data). Regular company-wide and team meet-ups, plus an annual in-person get-together.
- **Autonomy and flexibility**: 81% of employees feel they have complete autonomy over their work; 83% are happy with flexible hours; 78% report good work-life balance.
- **Benefits**: Home office budget for new joiners with annual top-up, personal learning and development budget, share options, and competitive benefits (86% employee satisfaction with benefits).
- **Diversity and inclusion**: Strong DEI focus with a formal Diversity, Equity and Inclusion Monitoring statement; a culture that celebrates differences and removes barriers.
- **Growth opportunity**: Join a fast-scaling business backed by $32M in Series A funding with a clear mission and strong product-market fit.
- **Culture principles**: "We care deeply about our customers," "We embrace change," "We aim high," "We win together," "We make every minute count," "We are optimistic and find a way."
- **Hiring process**: Structured 4-stage process (talent call, hiring manager interview, panel interview with task compensation, final principles interview) with feedback surveys to continuously improve.

## Sources
1. [prolific.com](https://www.prolific.com/)
2. [prolific.com/about](https://www.prolific.com/about)
3. [prolific.com/careers](https://www.prolific.com/careers)
4. [job-boards.greenhouse.io/prolific](http://job-boards.greenhouse.io/prolific)
5. [linkedin.com/company/prolific-com](https://www.linkedin.com/company/prolific-com)

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