Data Analyst
Employer: Unifrog
Location: Work remotely or in our London or Edinburgh offices.
Working hours: Full time - Open to part time (0.8 FTE)
Salary: £40,000 - £45,000 (GBP)
Closing date: 10:00am, 9th Jul 2026 BST
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Unifrog’s mission
We’re on a mission to level the playing field when it comes to young people finding and applying for their next step after school. We're achieving this by bringing all the available information into one single, impartial, user-friendly platform that helps students to make the best choices, and submit the strongest applications. We also empower teachers and counsellors to manage the progression process effectively.
Our outlook is global - we work with schools and universities all over the world, from the US to New Zealand, and from Italy to Hong Kong. We want to make it so that young people can compare every opportunity taught in English, wherever it is in the world, and have all the support they need to make successful applications.
We have a clear social purpose, and we’re hugely ambitious. We already work with over half of UK secondary schools, and more than a thousand international schools. We are growing rapidly in terms of the number of our customers, in terms of how much they use our platform, and in terms of the breadth of products we offer (check out this video to hear more about the Unifrog platform).
Our team is at the heart of our business and it is integral to our success. We work hard to foster a culture of openness, happiness and innovation, and we commit to helping every individual learn and grow so that they can reach their full potential. We want to hire talented people, whatever their background. If you are excited by our mission and are ready to work hard, please don’t hesitate to apply. We look forward to hearing from you!
We believe in the power of diversity. If you are from an ethnic minority background, we would like to strongly encourage you to apply.
Data at Unifrog
The Data team’s goal is to inform every Unifrog decision with data. That includes decisions taken by our teammates, university and employer partners, and the teachers and students who log into the Unifrog platform every day.
Our team goal is ambitious and we need a diverse team working on a wide range of projects to help us reach it. We’re proud of our impact with data, covering everything from managing external data integrations to conducting exploratory research on student behaviour and outcomes.
What you’ll do
You’ll be part of the Data team, contributing to the full range of work we do. Most of your time will sit within the team’s shared priorities, but you’ll also be the team’s product specialist - the person we turn to first when product questions come in, and you’ll help to develop our understanding of how users interact with the platform.
Your responsibilities will include:
Understanding how Unifrog is used
Building and deepening the team’s understanding of how students, teachers, and partners actually use the platform: spotting patterns, surfacing what’s working, and identifying where users get stuck.
Triaging incoming product data requests
Acting as the first point of contact for product requests into the Data team — scoping them, working out whether the question is the right one, and then either taking them on yourself or adding them to the team's backlog.
Answering quantitative questions to support product development
Tackling the product questions that need analytical work. For example, modelling how to personalise the order of opportunities shown to students, or evaluating the effectiveness of our assessment practice test questions.
Surfacing opportunities for product improvement
Going beyond answering questions to proactively flagging what the data suggests we should do differently - finding friction points, underused features, or patterns in how students and teachers use our tools.
Bringing platform data to life for partners
As someone who understands deeply how students use Unifrog, you'll help internal teams and external partners — schools, universities, and employers — make better decisions using platform usage data.
Contributing to the Data team’s shared workload
Like everyone on the team, you’ll pick up your share of ad hoc requests and cross-company projects — supporting analysis for school-facing teams, partnerships, marketing, and others as needed.
You’ll become an expert in:
How the Unifrog platform works behind the scenes, particularly how user behaviour shows up in our data;
Our analytics stack — Amazon Athena for large-scale analytics and SQL Server for relational data — and how to work across both efficiently;
The product priorities of the Unifrog team, and how data can shape them;
Applying statistical thinking to product problems, from defining the right metric to evaluating model outputs;
Communicating data findings to a range of audiences, from technical colleagues to external partners
You’ll regularly work with:
The Data Insights and Research Manager, who will be your line manager and will support you in your projects and development;
The Data Analysis team, as your team and main collaborators;
The wider Data team, as the need arises;
The Product team, as your most frequent stakeholder — though not your only one;
User-facing colleagues across schools, partnerships, and marketing, when their questions need quantitative input.
Skills and characteristics
We are looking for someone who is:
Technically fluent with data
You're extremely comfortable querying, aggregating, and analysing data using SQL, with experience in other tools such as Python, R, advanced Excel, or similar. You can wrangle messy data into something useful, and you have good instincts for when a result looks wrong.
Statistically minded
You have a solid understanding of statistical theory and some experience applying it, for example, defining metrics or evaluating an experiment. We see this hire as an opportunity to deepen our team's statistical capabilities.
Curious about user behaviour
You're naturally interested in how people use things and why, the kind of person who finds it satisfying to work out what a pattern or data point actually means. When the data suggests something could be better, you surface it without being asked.
A clear and persuasive communicator
You can turn analysis into a compelling narrative and explain technical findings to non-technical audiences without losing the nuance. You're also confident enough to push back when a brief is asking the wrong question.
A collaborative team member
You enjoy being part of a team - sharing the workload, learning from colleagues, and building relationships across the business that make your analysis land.
Preferred experience
2+ years of experience in any of the following roles (or similar) is preferred, but not required:
Data Analyst
Product Analyst
Experience in the education sector is useful but not required.
Benefits
On our jobs page you’ll find a full list of the benefits we offer our team, including:
Mission focussed
Join one of Escape the City’s top 1% employers and help transform careers and destinations in schools.
Great Place to Work certified
Recognised as a Best Workplace for Women, Development, and Wellbeing.
Growing company
Become part of a committed, dynamic, and growing company. We want to build our team for the long term: if you do well, we will do our best to make sure you want to stay at the company for a long time.
Growing individually
Professional development is important at Unifrog. You will define your own 6-month objectives and will be supported by your line manager and the rest of the team to achieve them. You will have an annual training allowance to spend on what you need to grow and progress.
Have impact
Influence the company’s direction: we love to promote great ideas, wherever they come from.
Key details
£40,000 – £45,000 per annum (Grade B), depending on experience.
Full-time or 0.8 FTE.
Work remotely or in our London or Edinburgh offices.
28 days paid holiday per year (plus bank holidays).
Working hours are 9am to 5pm, Monday to Thursday, and 9am to 4:30pm on Friday.
Start date: as soon as possible, though we will be flexible for the right candidate.
We can only consider candidates who have the right to work in the UK.
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