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For Companies At a Glance
- Tasks: Create and manage interactive Power BI dashboards to track key data metrics.
- Company: Join a leading firm in the insurance analytics sector.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make an impact by automating data processes and enhancing decision-making.
- Qualifications: Bachelor’s degree in a technical field and relevant experience in data analytics.
- Other info: Dynamic role with potential for career advancement in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Key Duties (Including but not limited to):
- Build and maintain interactive Power BI dashboards to track exposure, submissions, and data quality
- Deliver performance reports highlighting trends and anomalies
- Own end-to-end data pipelines for exposure and catastrophe modelling
- Define and monitor data quality KPIs (completeness, accuracy, timeliness, consistency)
- Automate data ingestion, validation, and reporting workflows
Qualifications required:
- Bachelor’s degree, preferably in a technical field such as Coding, Mathematics, Risk, Insurance, or Actuarial Science
Experience required:
- 4-10 years of experience in exposure management, cat modelling, or insurance analytics
- Strong experience with Power BI (DAX, Power Query, data modelling)
- Experience with SQL (query optimisation, joins, stored procedures)
- Proficiency in Python (for data processing, automation, APIs, and AI/ML use cases)
Data & Reporting Automation Analyst – 29395 in London employer: Emerald Group Ltd
Contact Detail:
Emerald Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Reporting Automation Analyst – 29395 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with data and reporting. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and any automation projects you've worked on. 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 your SQL and Python skills. Be ready to discuss how you've used these tools in past roles, especially in relation to data quality and automation. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it shows you're proactive and really interested in the role.
We think you need these skills to ace Data & Reporting Automation Analyst – 29395 in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI, SQL, and Python. We want to see how your skills match the job description, so don’t be shy about showcasing your 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 automation and how your background in exposure management or insurance analytics makes you a great fit for us.
Showcase Your Technical Skills: When detailing your experience, focus on specific tools and techniques you've used, especially in Power BI and SQL. We love seeing concrete examples of how you've built dashboards or automated workflows!
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 Emerald Group Ltd
✨Know Your Power BI Inside Out
Make sure you’re well-versed in Power BI, especially DAX and Power Query. Prepare to discuss specific dashboards you've built and how they’ve impacted data tracking or reporting. Bring examples of your work to showcase your skills.
✨Brush Up on SQL Skills
Since SQL is crucial for this role, review your knowledge on query optimisation, joins, and stored procedures. Be ready to solve a SQL problem during the interview or explain how you've used SQL in past projects.
✨Demonstrate Your Data Pipeline Expertise
Be prepared to talk about your experience with end-to-end data pipelines. Discuss any challenges you faced in automating data ingestion and validation, and how you overcame them. This shows your problem-solving skills and technical know-how.
✨Showcase Your Analytical Mindset
Highlight your ability to define and monitor data quality KPIs. Share examples of how you’ve identified trends and anomalies in data, and what actions you took based on your findings. This will demonstrate your analytical capabilities and attention to detail.
