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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 work schedule, and opportunity to influence executive-level reporting.
- Other info: Join a dynamic team with real momentum and excellent career growth potential.
- 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 Salisbury 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 Salisbury
✨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. Whether it's building a small data analysis project or contributing to open-source, showcasing your skills in SQL and data mapping can really set you apart when you’re chatting with potential employers.
✨Tip Number 3
Prepare for those interviews by brushing up on your understanding of medallion architecture and how data flows in a Lakehouse environment. Be ready to discuss your past experiences and how they relate to the role – confidence is key!
✨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 about their job search!
We think you need these skills to ace Business Data Analyst in Salisbury
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 about your application status. 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. They’ll want to see that you can navigate complex data structures with ease.
✨Showcase Your Data Mapping Experience
Prepare examples of your past work producing data mapping documents and data dictionaries. Be specific about the processes you followed and how they contributed to successful projects. This will demonstrate your hands-on experience in a Data Warehouse or Lakehouse environment.
✨Understand Medallion Architecture
Familiarise yourself with medallion architecture and be ready to explain how data flows from source to BI consumption. They’re looking for someone who can articulate this clearly, so practice explaining it in simple terms.
✨Be Ready to Facilitate Discussions
Since the role involves driving consensus on KPI definitions, think of scenarios where you’ve successfully facilitated difficult discussions. Highlight your confidence in managing stakeholder expectations and how you know when to push for clarity or step back.