Remote-first

Fully flexible hours

Dog friendly

Job Description

At a glance

Prolific: A fast-growing remote-first scale-up of 150+ people who are mainly based in the UK. YC alumni (summer 2019) and Series A funding of $32m in 2023.

Our mission is to revolutionize how the world learns about people, so people can revolutionize the world.

Salary: £65,000-70,000 + bonus + share options

The Role

As a Senior Data Analyst at Prolific, you’ll be a key connective player between several different business units: working closely with product managers, finance-team members, data-scientists and user researchers (and other analysts of course) to inform product development, optimize performance, and measure the impact of new initiatives using data.

Although your home will be in ‘central data’, your focus will be on supporting two product teams. The first of these is the Data Collection & Partnerships team, a cross functional team responsible for developing novel data collection tools for our customers. Their domain is the AI-teaching market, where efficient task allocation and randomisation is crucial. We already have significant traction in this market, but there is considerably more work to be done! The second product team you’ll support is the payments and pricing team, whose work underpins our participant reward system and our researcher pricing.

As a senior data analyst, you’ll design AB tests, identify areas for product improvement and help us understand customer behavior. There’ll be opportunities to serve in an analytics engineering capacity, helping refine our data-models for ease of use and simplicity, and of course, you'll also be an integral part of a smart and motivated data team, working at the cutting edge of Prolific technology.

What you'll be doing

  • You’ll be responsible for painting a high definition picture of how our researcher’s collect data. You’ll design click-tracking, data models and dashboards to help us understand this new vertical. Working closely with the DCP team to implement and assess the success of new product features.
  • You’ll also support the Payment and Pricing team as they make our payments platform ever more robust and flexible. This will involve writing data contracts and checking the integrity of data flows as the team pioneers a major re-architecting of our app’s backend. In addition to teaming up with our data science function to develop and test new pricing models.
  • Of course you’ll also react to the day-to-day data needs of both teams with dashboards, reports and ad-hoc queries. You’ll mostly be leveraging the upper half of our data tech stack for your work. This means working mostly with cleaned and modeled data, where a lot of the business logic and testing has already been taken care of. That said, you’ll sometimes need to design new data models in DBT in order to surface newly collected behavioral data.
  • When time allows, you’ll also be a source of flexible analytical capacity, with the opportunity to get involved across the whole business, and on a wide range of projects: anything from analytics & data engineering through to machine-learning and teaching.

What you’ll bring

  • Considerable experience writing analytic SQL, including window-functions, CTEs, and JOINs. You have dabbled (at least) with dbt, and have a working knowledge of python.
  • An eye for detail: you're able to get into the weeds of data-problems, understanding the source of unusual patterns in the data, and verifying that top level conclusions hold under close scrutiny.
  • Great analytical skills, with a track record of digesting complex data, identifying trends, and drawing meaningful insights.
  • A passion for using data to guide product design and a hunger for solving problems, even if by unconventional means.
  • Competency in common stats for product analytics and AB tests: i.e. you can run a sample size calculation, perform unbiased allocation to groups, choose the right test for the design, identify potential confounding factors.
  • Strong visual communication skills, with the ability to effectively share data-driven insights and recommendations to non-technical stakeholders.

Even better if you have

  • Knowledge of modern generative AI models and how they’re taught.
  • Experience analyzing the behavioral data generated by customer’s API use.
  • Experience with online recruitment and survey platforms as well as a knowledge of the current online research landscape.

Company benefits

Bank holiday swaps
Company wide holidays/offsites
Early finish Fridays
Enhanced maternity leave – 13 weeks full paid, 26 weeks 50% pay
Enhanced paternity leave – 4 weeks full paid
Enhanced sick pay
Mental health days
L&D budget – £1000 per year
Work from home stipend
Dog friendly co-working space
25 days annual leave + bank holidays
Pregnancy loss leave
Open to part-time employees
Health insurance – Bupa & Medicash Health Plan (Opt in)
Life insurance
Lunch and learns
Employee discounts
Employee assistance programme
Optional unpaid leave
Pension match/increase
Salary sacrifice
£1000 yearly budget for education, growth, and training.
Taxable Stipend of £150 a month per person, £1800 a year (before tax).
Location
96%
Employees are very happy with their working location freedom
Hours
83%
Employees are very happy with the flexibility in the hours they work
Benefits
86%
Employees are very happy with the benefits their company offers
Work-life balance
78%
Employees feel that they can switch off quite easily from work
Role modelling
86%
Employees feel that flexible working is part of the culture
Autonomy
81%
Employees feel they have complete autonomy over getting their work done

Additional employee ratings
(these do not contribute to the FlexScore®)

Diversity
82%
Employees feel that the diversity, and the efforts to improve and maintain it, are great
Inclusion
81%
Employees feel like the company culture is brilliantly inclusive and equitable
Culture
81%
Employees feel like it is a really great environment to work in
Mission
87%
Employees feel very excited about and aligned with the company mission
Salary
76%
Employees feel that their salary is good and matches the value they bring

Working at Prolific

Company employees

153

Gender diversity (male:female:non-binary)

32:38:30

Office locations

London & New York

Funding levels

$32,000,000

Hiring Countries

United Kingdom

United States

Awards & Achievements

Most flexible companies

Most flexible companies

Flexa100 2024
1st – DeepTech, Data & AI

1st – DeepTech, Data & AI

Industry awards 2023
3rd

3rd

Flexa100 2023
1st – Research & Data

1st – Research & Data

Industry awards 2022

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