Data analyst jobs in Westminster, greater london

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.
 

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 part-time (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.

• If you require reasonable adjustments, or want to discuss any details about the role before applying, please contact our Recruitment lead (contact details on our jobs page).

• We can only consider candidates who have the right to work in the UK.

Application process  

• Deadline: 10:00am (BST) on Thursday 9th July 2026.

• We may need to close applications early if we receive a lot of interest. As long as you’ve already started applying, we’ll give you 48 hours’ notice of the deadline changing - so if you’re thinking of applying, please start an application so we can keep you updated. 

• Stage 1: Application form (~1 hour) 

• Visit our website to upload your CV and complete the questions and tasks below. 

Please note:

We do not review CVs at this stage of the application process so please be as specific as possible about your experience.

Do not use AI to generate your answers – we compare answers to AI generated answers, and through reviewing lots of applications we quickly spot what's been generated by AI.

• i) With reference to examples of your recent experience, what would make you an excellent candidate for this role? (250 words)

• ii) In this scenario, you’ve just finished your first two weeks of onboarding and are starting work on your first project.

Unifrog recently launched a “Uni and Employer (UEL)” library that showcases key information about our partner organisations.

The launch has been a success. 65% of existing UK partners have set up a UEL guide, and the feedback from students and teachers has been positive. Partners pay Unifrog to feature in this library.

The partnership teams are now focused on selling more UEL profiles to other existing partners. Your task is to support the partnership team's efforts by providing evidence of improved student engagement with partner content for those who have set up a new UEL guide.

Outline your proposed approach to the project, to be discussed with your line manager at the end of the day (max 500 words). 

*Due to the word limit on Applied, please provide your response to this question in a Google Doc and share the link with us via Applied.

Before submitting, please make sure that the document's sharing settings allow us to view it:

Share → General access → Anyone with the link → Viewer

Please double-check that the link works and that the correct permissions have been granted.

• Stage 2: Data task (3 hours)  

• The next stage of the application process will be a data-related task for you to complete. We will schedule this task within the application window. 

• Stage 3: Video call interview (1 hour) 

• Q&A from a panel of three, including questions about your experiences and how these relate to the role, and scenario questions based on common situations you might face (plus time for your questions)

• Video interviews will take place w/c 27th July 2026.