At a glance
Prolific: A fast-growing remote-first scaleup 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 an embedded Product Analyst at Prolific, you’ll be a bridge between the Data and Product teams: working closely with product managers, designers, and user researchers to inform product development, optimize performance, and measure the impact of new initiatives using data. Given your seniority, you’ll be shared between two product teams. Primarily, you'll be a member of the Data Collection Partnerships team, a cross functional team responsible for developing novel data collection tools for our customers. Their current focus is on 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! You’ll also be a member of the payments and pricing team, whose work underpins our participant reward system.
As an embedded product analyst, you’ll design AB tests, identify areas for product improvement and help us understand customer behavior. You'll also be an integral part of a smart and motivated 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 your 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.
- On top of being a member of the DCP PnP, you’ll also be a member of Prolific’s Embedded Analytics’ Community of Practice. This group will provide an opportunity for mentorship, and to mentor others, and will meet weekly to share learnings, methodologies and ensure consistent technical upskilling.
- You’ll be responsible for fostering a data-driven culture within your home team. Coaching your colleagues on how best to use data to guide decision making, and holding them to account when it comes to measuring success.
- You’ll also be the ‘conduit’ between your team and other data teams in the business. Knowing how and when to ask for ‘additional capacity’, then serving as the point person when other data-prolificos join the project to help.
What you’ll bring
- A passion for using data to guide product design and a hunger for solving problems, even if by unconventional means.
- 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.
- Great analytical skills, with a track record of digesting complex data, identifying trends, and drawing meaningful insights.
- 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.
United Kingdom
