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- Tasks: Shape the foundations of a new data platform and create impactful dashboards.
- Company: Leading UK financial services firm with a focus on innovation.
- Benefits: Competitive pay, flexible work arrangements, and opportunities for professional growth.
- Other info: Join a dynamic team with real momentum and excellent career prospects.
- Why this job: Be a key player in building a cutting-edge data programme from scratch.
- Qualifications: Strong SQL skills and experience in data mapping and documentation.
The predicted salary is between 45000 - 55000 £ per year.
A leading UK financial services firm is building its Lakehouse platform from scratch in Databricks, Unity Catalogue, medallion architecture and the Data Analyst they hire now will shape the foundations everything else is built on.
If you've spent your career doing genuine data analysis work, profiling source, producing mapping documentation, pinning down what a KPI actually means when three people in a room can't agree - this is the role that uses all of.
THE OPPORTUNITY
You’ll be one of the first specialist hires into a new Data Programme team, working alongside an experienced Technical Programme Lead on delivery that feeds directly into executive‑level reporting. The programme has real momentum — tooling decisions have been made, the backlog is forming, and two priority dashboards aligned to the firm's strategic missions are already in flight.
Day one looks like this: understanding source nobody has fully documented, profiling relational databases, building data dictionaries, and working with stakeholders to translate high‑level dashboard asks into tight, technically sound specifications. Alongside that, you’ll be helping to establish Unity Catalogue as the metadata and lineage layer for the entire platform.
WHAT YOU'LL NEED
- Strong SQL – comfortable writing exploratory queries against unfamiliar schemas to understand structure, and candidate keys
- Hands‑on experience producing data mapping documents, data dictionaries, and business requirement specifications in a Data Warehouse or Lakehouse environment
- A working understanding of medallion architecture and how data moves from source through to BI consumption
- Azure DevOps – confident managing a data backlog within an Agile delivery team
- Financial services background – banking, wealth management, or similar regulated environments
- Confidence – you can facilitate a difficult room, drive consensus on a KPI definition, and know when to push and when to step back
A BONUS IF YOU HAVE
- Familiarity with Databricks, particularly Unity Catalogue
- Experience with ER Studio or similar metadata tooling
- An understanding of how Power BI consumes data and what good reporting specifications look like
Business Data Analyst employer: Data Science Talent
Contact Detail:
Data Science Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the financial services sector, especially those who work with data. A casual chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or case studies, make sure to highlight them during interviews. Real-world examples of your data analysis prowess can set you apart from the competition.
✨Tip Number 3
Prepare for the unexpected! Be ready to tackle some technical questions or even a live coding challenge. Brush up on your SQL and data mapping skills so you can impress them with your expertise.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Business Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with SQL, data mapping, and any relevant financial services background. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your past work that relate to the responsibilities mentioned in the job description.
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! If you’ve worked with Databricks or Azure DevOps, mention specific projects where you used these tools. We love seeing real-world applications of your expertise.
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 Data Science Talent
✨Know Your Data Inside Out
Before the interview, brush up on your SQL skills and be ready to discuss how you've tackled complex data structures in the past. Be prepared to explain your experience with data mapping documents and how you’ve defined KPIs in challenging situations.
✨Showcase Your Problem-Solving Skills
This role requires a knack for navigating ambiguity. Think of examples where you've had to profile unfamiliar databases or translate vague requests into clear specifications. Highlight your ability to drive consensus in difficult discussions about data definitions.
✨Familiarise Yourself with the Tools
Get comfortable with Databricks and Unity Catalogue if you can. Even if you haven't used them extensively, showing that you understand their purpose and how they fit into the medallion architecture will impress the interviewers.
✨Demonstrate Your Agile Mindset
Since this role involves managing a data backlog within an Agile team, be ready to discuss your experience with Azure DevOps. Share how you've contributed to Agile processes in the past and how you adapt to changing priorities in a fast-paced environment.