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- Tasks: Shape the foundations of a new data platform and translate high-level asks into technical specs.
- Company: Leading UK financial services firm with a focus on innovation.
- Benefits: Competitive pay, flexible onsite work, and a chance to influence executive-level reporting.
- Other info: Join a dynamic team with real momentum and growth opportunities.
- 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 50000 - 60000 £ 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
Please click the ‘Apply’ button to find out more.
Business Data Analyst in Swindon 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 in Swindon
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the hunt for a Business Data Analyst role. You never know who might have the inside scoop on opportunities or can put in a good word for you.
✨Tip Number 2
Get your hands dirty with some practical projects. If you can, work on personal or open-source data analysis projects that showcase your SQL skills and understanding of medallion architecture. This will not only boost your portfolio but also give you real-world examples to discuss in interviews.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on how to explain complex concepts like data mapping and KPI definitions clearly. Practising with a friend or mentor can help you articulate your thoughts better when it comes to those tough discussions.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting roles waiting for talented folks like you. Plus, applying directly can sometimes give you a leg up in the process. So, what are you waiting for? Get clicking!
We think you need these skills to ace Business Data Analyst in Swindon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Business Data Analyst. Highlight your SQL skills, experience with data mapping documents, and any relevant financial services background. We want to see how your past experiences 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 our new Data Programme team. Share specific examples of how you've tackled similar challenges in the past and how you can contribute to building our Lakehouse platform.
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! If you’ve worked with Azure DevOps or have experience in medallion architecture, make sure to include that in your application. We love seeing candidates who can hit the ground running!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Data Science Talent
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be ready to discuss how you've used SQL to write exploratory queries and understand unfamiliar schemas. Practising some real-world scenarios can help you articulate your thought process during the interview.
✨Showcase Your Data Mapping Experience
Prepare to talk about your hands-on experience with data mapping documents and data dictionaries. Bring examples of your previous work, especially in a Data Warehouse or Lakehouse environment, to demonstrate your expertise and how it aligns with the role.
✨Understand Medallion Architecture
Familiarise yourself with medallion architecture and be ready to explain how data flows from source to BI consumption. This will show that you not only understand the technical aspects but also how they fit into the bigger picture of the firm's strategic missions.
✨Be Ready for Stakeholder Scenarios
Since you'll be working closely with stakeholders, prepare for questions about how you would facilitate discussions and drive consensus on KPI definitions. Think of examples where you've successfully navigated difficult conversations and how you balanced pushing for clarity while knowing when to step back.