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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 is a plus.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 50000 - 62000 £ 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 London employer: Roc Search
Contact Detail:
Roc Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer in 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 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 aligns with our needs. Keep it concise but impactful!
Showcase Relevant Projects: If you've worked on any projects that involved data systems or reporting solutions, make sure to mention them. We love seeing real-world applications of your skills, especially in financial services or insurance.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Roc Search
✨Know Your Tech Stack
Make sure you brush up on SQL and Python before the interview. Be ready to discuss how you've used these skills in past projects, especially in a financial services context. It’s all about showing that you can write efficient queries and automate data processing.
✨Showcase Your ETL Experience
Prepare examples of your experience with ETL processes. Talk about specific tools you've used and how you've consolidated and transformed data. This will demonstrate your ability to enhance analytical capabilities, which is crucial for the role.
✨Familiarise Yourself with Azure
Since Azure experience is highly desirable, make sure you know the basics of Azure Data Factory, Synapse Analytics, and DevOps. If you’ve worked with these tools, be ready to share how they helped you in previous roles. If not, do some quick research to understand their functionalities.
✨Communicate Clearly
As you'll be acting as a liaison between teams, practice explaining complex data concepts in simple terms. Clear communication is key in this role, so think about how you can convey your ideas effectively during the interview.
