Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse customer data to drive smarter decisions and support a major transformation project.
- Company: Join a company evolving into a tech-first leader in the tool hire industry.
- Benefits: Enjoy a fully remote role, flexible hours, 25 days holiday, and competitive salary.
- Why this job: Be part of a groundbreaking project that shapes the future of a traditional industry.
- Qualifications: Numerical or analytical degree, SQL knowledge, and a curiosity for data exploration.
- Other info: Direct access to decision-makers and a chance to make a real impact.
The predicted salary is between 28000 - 40000 £ per year.
Data Analyst
Central London | Hybrid
£60–70k + Equity
We’re partnered with a high-growth, VC-backed FinTech in the payments space that’s continuing to invest heavily in its data capability as the business scales.
They’re now looking for a Data Analyst to join their Finance & Data team and help turn complex datasets into insights that drive smarter decisions across the business.
This is a hands-on Data Analyst role where you’ll be working closely with senior leadership as well as teams across product, engineering, marketing and operations. The work you do as a Data Analyst will feed directly into commercial and product decisions as the company continues to scale.
You’ll analyse large datasets, build models, and create dashboards that help teams understand performance and trends across the organisation. They’re looking for a Data Analyst who can go beyond reporting and help shape decisions by challenging assumptions and translating data into clear, actionable insight.
This role suits a Data Analyst who enjoys solving real problems, working closely with stakeholders, and operating in a fast-growing fintech environment.
Experience needed
- 2–5+ years experience as a Data Analyst
- Strong Python or R for analysis and modelling
- Strong SQL
- Strong experience working with dbt
- Understanding of data modelling and orchestration
- Solid understanding of statistics, experimentation, or quantitative analysis
- Experience working with modern data warehouses (Snowflake, Redshift etc.)
Drop me a message or email if you’d like to hear more.
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. Being able to discuss current methodologies and tools during your interview will show that you're proactive and genuinely interested in the role.
✨Tip Number 2
Network with professionals in the data analytics field, particularly those who have experience in tech-driven transformations. Engaging with them on platforms like LinkedIn can provide you with insights and potentially valuable connections that could help you stand out.
✨Tip Number 3
Brush up on your SQL skills and consider completing a small project using Python for data exploration. Having a practical example to discuss can demonstrate your technical prowess and willingness to learn, which is crucial for this role.
✨Tip Number 4
Prepare to articulate how you can contribute to the company's transformation journey. Think about specific ways your analytical skills can drive smarter decisions and enhance customer experiences, as this will resonate well with the hiring team.
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.
✨Familiarise Yourself with SQL and Python
Since the role requires SQL knowledge and a willingness to learn Python, be ready to demonstrate your understanding of these tools. You might even want to brush up on some basic queries or data manipulation techniques to discuss during the interview.
✨Understand the Company’s Transformation Goals
Research the company’s shift towards a tech-first model and think about how your skills can contribute to this transformation. Be prepared to discuss how you can help drive customer retention and growth through data-driven insights.
✨Prepare Questions About Cross-Functional Collaboration
Since the role involves working with various teams, prepare thoughtful questions about how collaboration occurs within the company. This shows your interest in teamwork and your understanding of the importance of cross-functional relationships in achieving business goals.