Building the most powerful platform for research on the internet.

Analytics Engineer

UK (Remote) / Remote
Job Type
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About the role

At A Glance

Us:  Profitable and funded startup of 50+ people. Remote team, mainly based in the UK. YC alumni. Creating a web-based platform for behavioural research. 3x yearly growth, all driven by word-of-mouth.

We’re on a mission to connect people around the world to make trustworthy data more accessible and facilitate world-changing research.

You:   A mid-level data analyst or analytics engineer who's an SQL expert with a passion for empowering self-serve analytics.

Location: Remote within the UK (and Europe)

The tools: SQL, Python, DBT, Snowplow, Redshift

£40-60k  depending on skills and experience.

The Role

As a complex marketplace platform with a strong focus on data, we know we're sitting on a trove of information that can take our product, and world-class research, to the next level. We're looking for an Analytics Engineer to transform our raw (and sometimes messy) data into structured, intuitive datasets which empower crucial insights across the business.

This will involve building reliable SQL-transformation pipelines, as well as wrestling with intriguing data-related-challenges fundamental to scaling our business. For example: leveraging the data in our Snowplow web-tracking model to determine which visitors to our website are returners and which are new. Or working alongside our marketing team to model multi-touch attribution.

The ideal candidate will be able to think about data-usage from the perspective of the end-user, and combine software engineering approaches with analytics know-how to create scalable ELTs. You should have strong experience with SQL and be comfortable with a scripting language (Python, etc). Flexibility and willingness to learn are key: Prolific is evolving continuously and you'll have the opportunity to shape your role in response to changing data-demands. You'll also be able to learn about all layers of our data stack, from product-driven event analytics, to data storage, modelling and BI tools.

You'll be part of a growing and talented team of data analysts, data engineers and data scientists. We'll support each other, upskill each other, and provide a place to brainstorm and problem solve together. We hope you'll also be a mentor to your teammates: boosting everyone's standard of data-software engineering.

How We Operate

At Prolific, projects are delivered using squads: small multi-disciplinary teams of 3-7 people (engineers, product designers, data analysts, product managers, etc). Squads are problem-focused and work on high-level objectives, e.g. our Growth Squad is working hard to ramp up data-driven content marketing, and deeply understand potential users purchase-decision journey. Squads use 6-12 week cycles to meet their objectives, with continuous delivery throughout the cycle.

Since data is a cross-squad discipline, we've founded the "data-chapter" to provide a place for all data experts to work closely together, share processes, and collaborate on core infrastructure. As an analytics engineer, you'll be a core member of the data-chapter, splitting your time about 60/40 between core data-infrastructure work, and more bespoke projects for squads.

Deep work is valued throughout the company. We favour async communication (like Notion) over Slack. When we need to communicate in real-time we try to cluster meetings together to give everyone bigger blocks of interruption-free time.

Continuous learning and development is strongly encouraged. Everyone gets a personal development budget which they can put towards things like books, courses and conferences, and reserve times every fortnight for learning new things or working on creative side-projects.

We’re aware of the challenges of being a remote worker and work hard to foster team spirit. We encourage remote chats over coffee with colleagues and have regular team meetings to keep everyone up to date with goings-on across the company and introduce new joiners.

We believe that we are in the process of successfully building a company that people enjoy working for. Our employees should feel valued, supported, and fulfilled. We know that there’s always more that we could be doing and have regular conversations about what we can improve. Everyone’s opinion is important and all input is taken on board.

Our Data Tech Stack

We use Snowplow to collect event data, Stitchdata to ETL data from our production MongoDB and secondary data sources, AWS Redshift as a central store and source-of-truth for all our business data, and DBT for data modelling, scheduling SQL, and validating the data in our warehouse. We use Metabase as our primary BI tool and JupyterHub as a central workspace for analysis and deeper exploration of our data.

What You'll Be Doing

  • Migrating, consolidating, and extending our SQL transformations in DBT while ensuring that our business insights are drawn from reliable, correct and easily interpretable datasets.
  • Implementing and optimising data models to unlock the potential of our web tracking, giving the growth squad the data they need to make good decisions.
  • Working with our product teams to implement new event tracking, user-stitching, marketing attribution and support the development of data-intensive projects.
  • Playing a key role in building a clean and extendable codebase for data
  • Implementing end-to-end reporting solutions for stakeholders across the business: from gathering requirements to modelling data and developing dashboards.
  • Sharing knowledge and best practices with a growing data community across Prolific


  • Experience writing high-quality, maintainable SQL
  • Knowledge of data-pipeline best practices
  • A desire to empower other's access to data
  • Experience querying and optimising columnar stores like Redshift, BigQuery or Snowflake.
  • Good written communication skills, as evidenced in design documents, project plans and code reviews, etc.
  • An eye for detail, correctness and robustness. But you can get things done quickly even in unfamiliar territory.

What We Offer

Pension (employer contribution 3% of base salary).

Share options.

Flexible working: Work equipment of your choice (paid for by us), and you can work flexibly from home or from our coworking space (also paid for by us).

Childcare flexibility: Need to pick your child up from school? No problem.

Comprehensive private health insurance that disregards medical history.

33 days holiday per year (25 days + bank holidays, which you can switch with your religious holiday).

£1000 yearly budget for education, growth, and training.

Personal growth opportunities and career progression (e.g., learn about the startup ecosystem, mentoring from executive team, learn about psychological science and research methods).

Open, transparent, and inclusive culture.

A company committed to carbon offsetting: we donate money in your name each month to plant trees and we offset travel as an organization each year.

Generous maternity, paternity, and shared parental leave.

The Company

At Prolific, we're changing how research on the internet is done. Our co-founders Katia and Phelim started by building a marketplace that connects researchers from both Academia and industry with instant, high quality, global research participants. Now, as a growing team, our bigger vision is to build the most powerful and trusted platform for behavioral research.

We were in Y Combinator's Summer 2019 batch, we've recently closed a $1.4M seed round, we've been growing 3x a year purely through word-of-mouth, we're already profitable, and we have very ambitious plans.

The Interview Process

1. Initial Interview - You'll have a 30 - 45 minute interview with two members of the team where you'll have the opportunity to ask about the company and the role, and we'll ask you questions about your experiences and goals.

2. Assignment - There will be a 2 hour assignment that evaluates skills required for the role. You'll be compensated with a £50 voucher for completing the task because we know your time is valuable!

3. Final Interview - The final stage is a 1.5 - 2 hour interview where we'll deep dive into your past experiences, goals, motivations, and skills. You'll speak with two to three members of the team and - as always - have an opportunity to ask questions about the role and company.

Why you should join Prolific

What we do

With Prolific, we're changing how research on the internet is done. Katia and Phelim started by building a marketplace that connects researchers (from both Academia and industry) with instant, high quality, global research participants. Now, as a growing team of 17, the bigger vision is to build the most powerful and trusted platform for behavioral research.

Our two-sided marketplace and ambitious growth plans come with many interesting challenges around how to accelerate growth, as we move from running thousands of studies a month, to tens of thousands. We hope to become the go-to infrastructure layer for "human responses" that empowers anybody – individuals, businesses, and governments – to make more evidence-based decisions.

We've recently been part of Y Combinator's Summer 2019 batch, raised seed funding, and have decided to grow and scale the company from London, UK.

How we interview & hire

Our hiring process usually begins with an introductory online interview to help you get to know us better, and vice versa. At this stage, we would like to better understand your motivation for the role, get to know about your interests and personality, and learn about any relevant past experience or skills you might have. If this initial interview is successful, we'd then invite you to complete an assignment (<2 hours, you'll be compensated for the time spent), which will be reviewed by relevant team members. This will be followed by an in-depth, face-to-face interview in London, UK, which will provide an opportunity to discuss the assignment, explore value fit, which incentives you care about, and learn how you would work with the team on a daily basis.

Our core values

Prolific’s values are the fundamental beliefs upon which our business and its behaviour are based. They are the guiding principles that we use to manage ourselves as well as our relationship with customers.

Open Prolific aims to be as open as possible in the way it works, both externally and internally. This means that we put in place policies and practices that bring information out into the open wherever possible. We also support the principles of Open Science.

Thoughtful At Prolific we try to be thoughtful about everything we do. This means that we consider the short-and long-term consequences of our actions and decisions, both for users and coworkers, and society more generally. It also means we value and encourage diversity and inclusion.

Trustworthy Researchers, Participants, and anyone else we interact with should have trust in dealing with us, and in the results produced by our platform. Within our company we strive to be fair in the way we deal with each other and the decisions we make.

Improving human knowledge At the core of Prolific is the aim to improve human knowledge. Every decision we make ultimately works towards this goal.