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- Tasks: Extract, transform, and present data to support business performance using Power BI.
- Company: Leading insurance brokerage in Greater London with a focus on data analytics.
- Benefits: Dynamic work environment with opportunities for professional growth.
- Why this job: Make an impact by turning data into insights that drive business success.
- Qualifications: Strong background in data analysis, ETL processes, and excellent communication skills.
- Other info: Hybrid working model for better work-life balance.
The predicted salary is between 36000 - 60000 £ per year.
A leading insurance brokerage in Greater London is seeking a Data Analyst to join their Data Analytics team. In this role, you will extract, transform, and present data to support business performance, create reports and dashboards using Power BI, and monitor data quality.
Ideal candidates will have a strong background in data analysis, ETL processes, and excellent communication skills. This position offers a dynamic work environment with opportunities for professional growth.
Data Insights Analyst - Power BI & ETL (Hybrid London) employer: Harrison Holgate
Contact Detail:
Harrison Holgate Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Insights Analyst - Power BI & ETL (Hybrid London)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in data 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 Power BI dashboards and ETL projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Be ready to discuss how you've tackled data quality issues or transformed data in past roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Insights Analyst - Power BI & ETL (Hybrid London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis, ETL processes, and Power BI. We want to see how your skills align 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 passionate about data analytics and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Communication Skills: Since excellent communication is key for this role, make sure to demonstrate your ability to present complex data in an understandable way. Whether it’s in your CV or cover letter, clarity is crucial!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Harrison Holgate
✨Know Your Data Tools
Make sure you brush up on your Power BI and ETL skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Analytical Mindset
Prepare to demonstrate your data analysis process. Think of a time when your insights led to a significant business decision. Being able to articulate your thought process will impress the interviewers.
✨Communicate Clearly
Since excellent communication skills are key for this role, practice explaining complex data concepts in simple terms. You might be asked to present a sample report or dashboard, so clarity is crucial.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their data quality monitoring processes or how they envision the Data Analytics team evolving in the future.
