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For Companies At a Glance
- Tasks: Design and implement reporting solutions to enhance data accessibility and analytics.
- Company: Leading financial services and insurance client in London.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Join a dynamic team and turn data into actionable insights that drive decisions.
- Qualifications: Proficient in SQL, Python, and ETL processes; experience in financial services preferred.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 50000 - 65000 £ per year.
Location: London (Hybrid, 3 days in office)
Salary: £58,000–£62,000
We are seeking a skilled Data & Analytics Engineer to join a leading financial services and insurance client. You will play a key role in building, maintaining, and enhancing the company’s data systems and management reporting, helping teams turn information into actionable insights.
About the Role:
You will design and implement reporting solutions and business intelligence (BI) tools that improve data accessibility and strengthen analytics across the organisation. Working closely with internal teams and external partners, you will support the delivery of the company’s data strategy while producing accurate and timely reporting.
Key Responsibilities:
- Maintain and optimise business data usage to support decision-making.
- Develop and implement data strategies to enhance the analytical capabilities of Syndicate and Compliance teams.
- Act as the primary liaison for data coordination between the Syndicate team and central systems (HUB).
- Deliver high-quality data for forms, statements, reports, member communications, and online portals.
Essential Skills:
- SQL & Python: Writing efficient queries, automating data processing, and analytics scripting.
- ETL Tools: Experience in Extract, Transform, Load processes to consolidate and transform data.
- Industry Experience: Proven experience working in a financial services environment or insurance broker.
Highly Desirable Skills:
- Microsoft Azure: Experience with Azure Data Factory (workflow orchestration), Azure Synapse Analytics (data warehousing), and Azure Functions (task automation).
- Azure DevOps: Skilled in CI/CD, pipeline creation, and deployment automation.
- .NET / C# Development: Comfortable developing backend processes and automation scripts in C#.
Analytics Engineer in City of London employer: Roc Search
Contact Detail:
Roc Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and ETL processes. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data engineering and analytics. Practice explaining your thought process when solving problems, as this will highlight your analytical skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Analytics Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Analytics Engineer role. Highlight your experience with SQL, Python, and any ETL tools you've used. We want to see how your skills match 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 passionate about data and analytics, and how your previous experience in financial services makes you a great fit for us. Keep it engaging and relevant!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's a BI tool you developed or a data strategy you implemented, we love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be one step closer to joining our awesome team at StudySmarter!
How to prepare for a job interview at Roc Search
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in a financial services context. Practising writing queries and automating data processes can give you a solid edge.
✨Showcase Your ETL Experience
Prepare to talk about your experience with ETL processes. Think of specific examples where you've successfully extracted, transformed, and loaded data. Highlight any challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Familiarise Yourself with Azure
Since the role involves Microsoft Azure, make sure you understand Azure Data Factory, Synapse Analytics, and DevOps practices. You could even mention a project where you used these tools, showing that you're not just familiar but also experienced.
✨Understand the Business Context
Research the company’s data strategy and how it aligns with their business goals. Being able to discuss how your role as an Analytics Engineer can contribute to their objectives will show that you’re not just technically skilled but also a strategic thinker.
