Data Analyst

Data Analyst

Leeds Full-Time 28000 - 42000 Β£ / year (est.) No home office possible
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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 competitive salary.
  • Why this job: Be part of an exciting journey influencing real business decisions and shaping the future.
  • Qualifications: Numerical or analytical degree preferred; SQL knowledge and willingness to learn Python required.
  • Other info: Direct access to decision-makers ensures your insights have immediate impact.

The predicted salary is between 28000 - 42000 Β£ per year.

Data Analyst | Tech-Driven Transformation Project | Remote (UK)

πŸ’° Β£35,000 – Β£50,000 | 🏑 Fully Remote | 🧠 Career-Defining Opportunity

Are you ready to join a company on the brink of transformation β€” 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 β€” 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.

πŸ”§ 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 β€” where your analysis will influence product, marketing, operations, and more.

πŸ“ˆ 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 β€” 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 β€” 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

  • πŸ’° Β£35,000 – Β£50,000, depending on experience and Python capability
  • 🏑 Fully remote(UK-based) β€” any face-to-face travel will be covered
  • πŸ•“ Flexible working – meetings on Monday & Friday, the rest is up to you
  • 🌴 25 days holiday + bank holidays
  • πŸ§“ Pension + 2x Life Insurance
  • πŸŽ“ Chance to work on an industry-first transformation
  • ✨ Direct access to decision-makers β€” your insights will make an impact fast

Data Analyst employer: Burns Sheehan

Join a pioneering company that is redefining the tool hire industry through a tech-driven transformation, offering a fully remote work environment that prioritises flexibility and employee well-being. With competitive salaries, generous holiday allowances, and direct access to decision-makers, you will have the opportunity to make a significant impact on the business while developing your skills in a supportive and innovative culture. This role not only promises career growth but also places you at the forefront of an exciting digital evolution.
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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

Brush up on your SQL skills and practice extracting data from databases. Being able to demonstrate your technical prowess in SQL during discussions can set you apart from other candidates.

✨Tip Number 3

Get hands-on experience with data visualisation tools like Power BI or Tableau. Having a portfolio of dashboards or visualisations you've created can showcase your ability to translate data into actionable insights.

✨Tip Number 4

Network with professionals in the data analytics field, particularly those who have experience in marketplace or SaaS businesses. They can provide valuable insights and may even refer you to opportunities within their organisations.

We think you need these skills to ace Data Analyst

Data Analysis
SQL
Python
Data Visualisation Tools (e.g., Power BI, Tableau, Metabase)
Statistical Analysis
Customer Insights Analysis
Dashboard Creation
Cross-Functional Collaboration
Problem-Solving Skills
Attention to Detail
Communication Skills
Numerical Aptitude
Curiosity and Inquisitiveness
Data Cleaning and Preparation

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 projects or experiences that demonstrate your ability to 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 Problem-Solving: Use examples from your past experiences to illustrate your curiosity and problem-solving skills. Discuss how you've used data to inform decisions or uncover insights, which is crucial for this role.

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, mention specific projects where you utilised these skills.

✨Exhibit Curiosity and Problem-Solving

During the interview, ask insightful questions that show your curiosity about the company's transformation journey. Discuss how you approach problem-solving and your eagerness to explore trends and test assumptions.

✨Communicate Clearly

Practice explaining complex data insights in simple terms. The ability to translate technical findings into actionable business ideas is crucial, so prepare to demonstrate this skill during your interview.

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