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For Companies At a Glance
- Tasks: Define and structure data reporting across Finance, Risk, Operations, and Compliance.
- Company: Established fintech business investing heavily in data and technology.
- Benefits: Hybrid work model, competitive salary, and clear progression opportunities.
- Why this job: Shape the future of data in a high-impact role with senior stakeholders.
- Qualifications: Strong experience as a Data/BI Business Analyst and SQL validation skills.
- Other info: Join a growing team with significant investment in your career development.
The predicted salary is between 45000 - 55000 £ per year.
Hybrid (Manchester area) | Fintech | Permanent
We’re hiring a Data Business Analyst into a newly created role within an established fintech business making a significant investment in its data and technology function. This sits within a growing team and offers the opportunity to shape how data is defined, structured, and trusted across the organisation - not maintain legacy reporting.
The Role
You’ll operate at the intersection of business and data engineering, owning the definition, structure, and quality of reporting across Finance, Risk, Operations and Compliance.
You will:
- Define KPIs, metrics, and reporting logic end-to-end
- Translate business requirements into clear, buildable data specifications (data models, mappings, lineage)
- Work closely with data engineers to shape the data warehouse and semantic layer
- Own data quality, controls, and reconciliation, ensuring outputs are accurate and audit-ready
- Support delivery through backlog ownership, user stories, and UAT
What They’re Looking For
- Strong experience as a Data / BI Business Analyst in a data-driven environment
- Proven ability to define metrics and reporting logic, not just build reports
- Experience working with data engineers on data models / warehouse structures
- Strong understanding of data warehousing concepts (facts, dimensions, grain)
- Comfortable validating data using SQL and reconciliation techniques
- Experience in regulated environments (finance, lending, insurance, etc.) is highly beneficial
Why This Role
- Newly created position — real opportunity to shape the function
- Backed by significant investment in data and technology
- Work closely with senior stakeholders across the business
- High-impact role influencing decision-making and regulatory reporting
- Growing team with clear progression opportunities
Data Business Analyst in Manchester employer: Fairmont Recruitment Technology
Contact Detail:
Fairmont Recruitment Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Business Analyst in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working in data roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your data analysis capabilities. This is a great way to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data warehousing concepts. Be ready to discuss how you've defined KPIs and worked with data engineers in past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Data Business Analyst in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Business Analyst. Highlight your experience with defining KPIs and working with data engineers, as this will show us you understand what we're looking for.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and how your skills align with our needs. Share specific examples of how you've shaped data functions in previous roles to grab our attention.
Showcase Your Technical Skills: Don’t forget to mention your SQL skills and any experience with data warehousing concepts. We want to see that you can validate data and ensure quality, so make it clear in your application!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Fairmont Recruitment Technology
✨Know Your Data Inside Out
Make sure you’re well-versed in data warehousing concepts, especially facts, dimensions, and grain. Brush up on your SQL skills too, as you'll likely need to validate data during the interview.
✨Define Metrics Like a Pro
Be prepared to discuss how you’ve defined KPIs and reporting logic in previous roles. Bring examples of how you translated business requirements into actionable data specifications, as this will show your understanding of the role's core responsibilities.
✨Showcase Your Collaboration Skills
Since this role involves working closely with data engineers, be ready to share experiences where you’ve successfully collaborated with technical teams. Highlight any projects where you shaped data models or improved data quality.
✨Understand the Business Context
Familiarise yourself with the fintech industry and the specific challenges it faces regarding data. Being able to discuss how data impacts decision-making and regulatory reporting will demonstrate your strategic thinking and relevance to the role.