Insurance Data Engineer: BI & Predictive Analytics on Azure
Insurance Data Engineer: BI & Predictive Analytics on Azure

Insurance Data Engineer: BI & Predictive Analytics on Azure

Bachelor 36000 - 60000 Β£ / year (est.) No home office possible
D

At a Glance

  • Tasks: Maintain data lake and business intelligence dashboards while ensuring data accuracy.
  • Company: Leading global logistics provider with a focus on health and wellbeing.
  • Benefits: Flexible work environment and growth opportunities in an international setting.
  • Why this job: Join a supportive team and make an impact with your data skills.
  • Qualifications: Bachelor's degree in a related field and experience with Tableau and Azure.

The predicted salary is between 36000 - 60000 Β£ per year.

A leading global logistics provider is seeking a Data Analyst in Health & Wellbeing at their Greater London location. The successful candidate will maintain the data lake and business intelligence dashboards while ensuring data accuracy and reliability.

Key responsibilities include:

  • Managing data ingestion
  • Applying predictive modeling techniques
  • Supporting test teams

A Bachelor's degree in a related field and experience with tools like Tableau and Azure are preferred. This role offers flexibility and growth opportunities within a supportive international environment.

Insurance Data Engineer: BI & Predictive Analytics on Azure employer: DHL

As a leading global logistics provider, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee well-being and professional growth. Our Greater London location offers flexible working arrangements, comprehensive training programmes, and the chance to collaborate with diverse teams on innovative projects, making it an ideal environment for those looking to make a meaningful impact in the field of data analytics.
D

Contact Detail:

DHL Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Insurance Data Engineer: BI & Predictive Analytics on Azure

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those working with data analytics and Azure. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your work with BI dashboards and predictive modelling. This is your chance to shine and demonstrate what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on common data engineering questions and scenarios. We recommend practising with friends or using mock interview platforms to build your confidence.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Insurance Data Engineer: BI & Predictive Analytics on Azure

Data Analysis
Data Lake Management
Business Intelligence Dashboards
Data Accuracy
Data Reliability
Predictive Modelling Techniques
Data Ingestion
Tableau
Azure
Support for Test Teams
Bachelor's Degree in a Related Field
Flexibility
Growth Opportunities

Some tips for your application 🫑

Tailor Your CV: Make sure your CV is tailored to the role of Insurance Data Engineer. Highlight your experience with data lakes, BI dashboards, and any predictive modelling techniques you've used. We want to see how your skills match what we're looking for!

Showcase Relevant Experience: When writing your application, focus on your experience with tools like Tableau and Azure. If you've worked on similar projects or roles, let us know! This will help us see how you can contribute to our team.

Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, so don’t be afraid to show your personality while being professional!

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at DHL

✨Know Your Data Tools

Make sure you brush up on your knowledge of tools like Tableau and Azure. Be ready to discuss how you've used these in past projects, especially in relation to data ingestion and predictive modelling. This will show that you're not just familiar with the tools, but that you can apply them effectively.

✨Showcase Your Analytical Skills

Prepare examples of how you've maintained data accuracy and reliability in previous roles. Think about specific challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and your ability to support test teams effectively.

✨Understand the Company’s Mission

Research the logistics provider and understand their focus on health and wellbeing. Tailor your responses to align with their values and goals. This shows that you're genuinely interested in the role and how you can contribute to their mission.

✨Ask Insightful Questions

Prepare thoughtful questions about the team dynamics, growth opportunities, and the company culture. This not only shows your interest in the position but also helps you gauge if the company is the right fit for you. Remember, interviews are a two-way street!

Insurance Data Engineer: BI & Predictive Analytics on Azure
DHL

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

D
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>