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For Companies At a Glance
- Tasks: Analyse customer data to drive smarter decisions and support a major transformation project.
- Company: Join a forward-thinking company transforming into a tech-first, customer-led business model.
- Benefits: Enjoy fully remote work, flexible hours, 25 days holiday, and direct access to decision-makers.
- Why this job: Be part of an exciting journey that shapes the future of a traditional industry through technology.
- Qualifications: A numerical or analytical degree, understanding of SQL, and willingness to learn Python and data visualisation tools.
- Other info: This role offers a competitive salary and the chance to influence real business decisions.
The predicted salary is between 28000 - 42000 £ per year.
Data Analyst | Tech-Driven Transformation Project | Remote (UK)
💰 £35,000 – £50,000 | 🏡 Fully Remote | 🧠 Career-Defining Opportunity
Are you ready to join a company on the brink of transformation — one that’s shifting from legacy operations into a tech-first, customer-led business model? Think of it as becoming the Amazon of the tool hire world — and data is at the heart of that journey.
We’re looking for a Data Analyst to support this exciting transformation and help shape the future of a brand-new digital platform. You’ll work alongside a forward-thinking data and marketing team, using customer insights to drive smarter decisions, more targeted campaigns, and long-term growth.
This is not your average entry-level analyst role. You’ll be part of a high-impact customer retention project, working with real business data, informing strategic decisions, and helping to bring a traditional industry into the future through technology.
You can be a recent graduate or someone who has a few years commerical experience under your belt, really we are looking for the right mentality coupled with technical prowess.
🔧 About the transformation
The business has split from its legacy operations and is now focused solely on building a modern, tech-led platform. The aim? To become an industry-first digital leader, where customer experience, automation, and intelligent data use sit at the centre of everything.
This is your chance to contribute to a full business transformation project — where your analysis will influence product, marketing, operations, and more.
📈 What you’ll be doing
- Analyzing customer data to uncover retention drivers, purchasing patterns, sales trends, and customer segments
- Partnering with marketing to deliver insight-driven campaigns and track their effectiveness
- Supporting the customer retention and growth project, offering data that guides business decisions
- Identifying opportunities in the marketplace and spotting behavioural trends to gain a competitive edge
- Building dashboards and visualisations to report on KPIs and campaign results
- Working cross-functionally with marketing, sales, data science and leadership to support the transformation journey
- Helping to forecast sales and customer behaviour using exploratory techniques
- Cleaning, preparing, and validating data to ensure accuracy and trustworthiness in reporting
🧠 You might be a great fit if you…
- Have a numerical, analytical or programming degree — or equivalent experience
- Understand SQL and can use it to extract data from databases
- Have experience or are open to learning Python for data exploration and basic modelling
- Are familiar with (or willing to learn) data visualisation tools like Power BI, Tableau, or Metabase
- Are naturally curious — you want to ask questions, test assumptions, and explore trends
- Can communicate clearly and translate data insights into actionable business ideas
- Have experience with marketplace or SaaS businesses (a bonus, not a must)
- Are self-motivated and thrive in a remote, flexible working environment
🌍 The offer
- 💰 £35,000 – £50,000, depending on experience and Python capability
- 🏡 Fully remote(UK-based) — any face-to-face travel will be covered
- 🕓 Flexible working – meetings on Monday & Friday, the rest is up to you
- 🌴 25 days holiday + bank holidays
- 🧓 Pension + 2x Life Insurance
- 🎓 Chance to work on an industry-first transformation
- ✨ Direct access to decision-makers — your insights will make an impact fast
Data Analyst employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in data analytics, especially in customer retention strategies. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the data analytics field, particularly those who have experience in tech-driven transformations. Join relevant online communities or attend webinars to gain insights and make connections that could lead to referrals.
✨Tip Number 3
Brush up on your SQL skills and start learning Python if you haven't already. Being able to demonstrate your technical abilities in these areas will set you apart from other candidates and show your commitment to the role.
✨Tip Number 4
Prepare to discuss how you can contribute to a tech-first business model. Think of examples from your past experiences where you've used data to drive decisions or improve processes, as this will showcase your analytical mindset.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the Data Analyst role. Emphasise your analytical abilities, familiarity with SQL, and any experience with data visualisation tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your understanding of the company's transformation goals. Mention specific examples of how your skills can contribute to their customer retention project.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially in SQL and Python. If you have experience with data visualisation tools like Power BI or Tableau, make sure to include that as well.
Demonstrate Curiosity and Initiative: In your application, convey your natural curiosity and willingness to explore data trends. Share examples of how you've asked questions or tested assumptions in previous roles or projects.
How to prepare for a job interview at Burns Sheehan
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used data analysis in previous roles or projects. Highlight your ability to uncover insights from data and how those insights have influenced decisions.
✨Demonstrate Technical Proficiency
Be ready to talk about your experience with SQL and any programming languages like Python. If you have worked with data visualisation tools such as Power BI or Tableau, share your experiences and the impact they had on your work.
✨Emphasise Curiosity and Problem-Solving
Express your natural curiosity and willingness to ask questions. Discuss how you approach problem-solving and give examples of how you've explored trends or tested assumptions in your previous work.
✨Communicate Effectively
Practice translating complex data insights into clear, actionable business ideas. During the interview, focus on how you can communicate findings to non-technical stakeholders, as this is crucial for collaboration across teams.
