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For Companies At a Glance
- Tasks: Design reporting solutions and BI tools to enhance data access and analysis.
- Company: Leading financial services company with a focus on innovation.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the financial sector with your data skills.
- Qualifications: Experience with SQL, Python, and ETL processes, preferably in financial services.
- Other info: Work in a collaborative environment with a strong data strategy.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial services company is seeking a skilled Data & Analytics Engineer to enhance their data systems. You will design reporting solutions and BI tools, enabling teams to access and analyse data effectively.
Responsibilities include:
- Optimizing data usage
- Supporting the data strategy
Ideal candidates will have experience with SQL, Python, and ETL processes, particularly in a financial services or insurance context. This role offers a hybrid working model with 3 days in the office.
Data & Analytics Engineer — BI, SQL & Azure (Hybrid London) employer: Roc Search
Contact Detail:
Roc Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Analytics Engineer — BI, SQL & Azure (Hybrid London)
✨Tip Number 1
Network like a pro! Reach out to people in the financial services sector, especially those working with data and analytics. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, Python scripts, and any BI tools you've designed. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions and scenarios. Think about how you've optimised data usage in past roles and be ready to discuss your experience with ETL processes.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right role that matches your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Data & Analytics Engineer — BI, SQL & Azure (Hybrid London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and ETL processes. We want to see how your skills align with the role of a Data & Analytics Engineer, so don’t be shy about showcasing relevant projects or achievements!
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 in the financial services sector. We love seeing candidates who can connect their personal experiences to our mission.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've optimised data usage or designed reporting solutions in the past. We’re looking for candidates who can think critically and creatively about data challenges!
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 shows you’re keen on joining our team!
How to prepare for a job interview at Roc Search
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with complex queries and data manipulation, as well as any specific projects where you've optimised data usage. Practising common SQL interview questions can really help you stand out.
✨Showcase Your BI Tool Experience
Familiarise yourself with the BI tools relevant to the role. If you've worked with tools like Power BI or Tableau, be ready to share examples of how you've designed reporting solutions that helped teams access and analyse data effectively. Real-world examples will make your experience more relatable.
✨Understand ETL Processes
Since ETL processes are crucial for this role, ensure you can explain your experience with data extraction, transformation, and loading. Discuss any challenges you've faced in previous roles and how you overcame them. This shows your problem-solving skills and understanding of data workflows.
✨Prepare for Behavioural Questions
Expect behavioural questions that assess your fit within the company culture. Think about times when you've collaborated with teams or adapted to changes in a project. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your soft skills alongside your technical expertise.
