Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Shape the Lakehouse platform and collaborate with stakeholders on data profiling.
- Company: Join a leading financial services firm with a strong reputation.
- Benefits: Competitive contract pay, flexible work arrangements, and valuable industry experience.
- Other info: 6-month contract with opportunities for professional growth.
- Why this job: Make a significant impact by building foundational data systems from the ground up.
- Qualifications: Strong SQL skills and experience in financial services are essential.
The predicted salary is between 50000 - 60000 £ per year.
Data Science Talent is seeking a Senior Data Analyst in the United Kingdom to join a leading financial services firm. This role involves shaping the Lakehouse platform from scratch, working closely with stakeholders to profile source data, design data dictionaries, and define KPI specifications.
A strong SQL background and experience in a financial services environment are essential. Familiarity with Databricks and Azure DevOps will be considered a bonus.
The position is a 6-month contract, requiring 2 days onsite in Swindon.
Senior Data Analyst – Build Lakehouse Foundations employer: Data Science Talent
Contact Detail:
Data Science Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst – Build Lakehouse Foundations
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services sector, especially those who work with data. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your SQL skills! Prepare to discuss specific projects where you’ve used SQL to solve problems. We want to hear how you’ve shaped data solutions in past roles.
✨Tip Number 3
Get familiar with the tools! If you haven’t already, brush up on Databricks and Azure DevOps. Being able to talk about these platforms will definitely give you an edge during interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Data Analyst – Build Lakehouse Foundations
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your SQL skills and any experience in financial services, as these are key for us. Don’t forget to mention any familiarity with Databricks and Azure DevOps!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for shaping our Lakehouse platform. Be specific about your past experiences and how they relate to the job description.
Showcase Your Stakeholder Engagement Skills: Since this role involves working closely with stakeholders, make sure to highlight any relevant experiences where you've successfully collaborated with others. We want to see how you can communicate effectively and drive projects forward.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Data Science Talent
✨Know Your SQL Inside Out
Since a strong SQL background is essential for this role, make sure you brush up on your SQL skills. Be prepared to discuss complex queries and how you've used SQL to solve real-world problems in your previous roles.
✨Understand the Lakehouse Concept
Familiarise yourself with the Lakehouse architecture and its benefits. Be ready to explain how you would approach building a Lakehouse platform from scratch and how it integrates with existing data systems.
✨Showcase Your Financial Services Experience
Highlight your experience in the financial services sector during the interview. Prepare examples of how you've worked with stakeholders to profile source data and define KPIs, as this will demonstrate your understanding of the industry.
✨Get Comfortable with Databricks and Azure DevOps
While familiarity with Databricks and Azure DevOps is a bonus, showing that you're eager to learn can set you apart. If you have any experience with these tools, be sure to mention it, and if not, express your willingness to get up to speed quickly.