At a Glance
- Tasks: Analyse data to drive customer retention and create impactful dashboards.
- Company: Join a leading global tech company revolutionising financial tools.
- Benefits: Competitive day rate, hybrid working, and a dynamic team environment.
- Other info: Exciting opportunity for growth in a fast-paced, collaborative setting.
- Why this job: Make a real impact on customer retention strategies using your data skills.
- Qualifications: Experience in data analysis, SQL, and BI tools like Tableau.
The predicted salary is between 62400 - 62400 £ per year.
Role: Business Analyst – Retention Data (EMEA)
Location: Hybrid – London (3 days office / 2 days remote)
Contract Length: 12 months minimum
Day Rate: £260/day (Inside IR35)
I’m hiring for a Business Analyst – Retention Data to join a leading global tech company known for empowering businesses with cutting-edge financial tools and services. This is a 12-month contract (minimum) with hybrid working 3 days per week in the London office, 2 days remote.
MUST HAVE
- Within your experience and clearly on your CV: Data Insight, what impact did you make.
- We are looking for someone who can display on their CV that has analysed data they have pulled and can make recommendations that the business acts on.
- Can you show within your CV where you have increased conversion by X%, drove revenue through and saved X money, reduced time by X?
The Role:
As part of a high-impact analytics team, you’ll support several flagship projects focused on customer retention across the EMEA region. You’ll build powerful, scalable dashboards and analytics tools that help shape decision-making across the product lifecycle, with a clear focus on retention and behavioural insights. This is more than just a reporting role, it’s an opportunity to use your skills in SQL, Python, and BI tools (e.g., Tableau/Qlik) to influence strategy, close data gaps, and directly impact customer outcomes.
Key Responsibilities:
- Build and automate scalable reporting solutions focused on customer retention.
- Create and present dashboards combining internal and external data for senior stakeholders.
- Identify and close gaps in behavioural data capture strategies.
- Deliver actionable insights that improve retention performance across products.
- Partner with cross-functional teams to meet data needs now and in the future.
What We're Looking For:
- Experience as a BI Analyst / Data Analyst, ideally with a retention or lifecycle focus.
- Advanced SQL (comfortable with complex queries, joins, CTEs, etc.)
- Proficiency in Tableau, Qlik, or similar BI tools.
- Experience building or working with data pipelines.
- A track record of turning data into insights and business recommendations.
Nice to Have:
- Exposure to Python or R for statistical/data analysis.
- Experience working with customer churn, loyalty, or retention metrics.
- Background in FinTech or product-led environments.
About You:
- Proactive, self-starter who thrives in a fast-paced, data-driven environment.
- Highly organised with great attention to detail.
- Collaborative team player who communicates clearly with both technical and non-technical stakeholders.
- Curious and always looking to learn, improve, and push boundaries.
If you're passionate about using data to solve real business problems and want to be part of an exciting team driving customer retention, I'd love to hear from you.
Business Analyst - Data Insight & Impact in Cardiff employer: RedCat Digital
Join a leading global tech company in London that champions innovation and empowers its employees with a dynamic work culture. With a hybrid working model, you’ll enjoy the flexibility of remote work while collaborating with a high-impact analytics team focused on customer retention. The company offers ample opportunities for professional growth, a commitment to employee development, and a chance to make a tangible impact through data-driven insights.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst - Data Insight & Impact in Cardiff
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like RedCat Digital before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like RedCat Digital.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like RedCat Digital.
We think you need these skills to ace Business Analyst - Data Insight & Impact in Cardiff
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at RedCat Digital, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to RedCat Digital, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab RedCat Digital’s attention and show the tangible impact of your work.
How to prepare for a job interview at RedCat Digital
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at RedCat Digital.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at RedCat Digital.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at RedCat Digital.
