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- 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 and valuable industry experience.
- Other info: 6-month contract with flexible onsite requirements in Swindon.
- Why this job: Make a real impact by building innovative data solutions 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 in England 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 in England
✨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 open doors and give you insights that might just land you that Senior Data Analyst role.
✨Tip Number 2
Show off your SQL skills! Prepare to discuss specific projects where you've used SQL to solve problems or improve processes. We want to see how you can shape the Lakehouse platform from scratch!
✨Tip Number 3
Get familiar with Databricks and Azure DevOps if you haven't already. Even if it's just a basic understanding, mentioning these tools in your conversations can set you apart from other candidates.
✨Tip Number 4
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 take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Analyst – Build Lakehouse Foundations in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL skills and any experience in financial services. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about shaping the Lakehouse platform and how your experience can contribute to our goals. Keep it engaging and personal.
Showcase Your Technical Skills: If you’ve got experience with Databricks or Azure DevOps, make sure to mention it! Even if it’s not a requirement, we love seeing candidates who are eager to bring extra skills to the table.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
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 in past projects, especially in a financial services context.
✨Familiarise Yourself with Lakehouse Concepts
As you'll be shaping the Lakehouse platform, it’s crucial to understand what a Lakehouse is and how it differs from traditional data warehouses. Research its architecture and benefits, and think about how you can apply this knowledge in your role.
✨Prepare for Stakeholder Engagement
This role involves working closely with stakeholders, so be ready to discuss your experience in profiling source data and designing data dictionaries. Think of examples where you’ve successfully collaborated with non-technical teams to define KPIs.
✨Showcase Your Experience with Databricks and Azure DevOps
While familiarity with Databricks and Azure DevOps is a bonus, if you have any experience with these tools, make sure to highlight it. Discuss how you’ve used them in previous roles and how they can benefit the Lakehouse project.