Insurance Data Engineer
Insurance Data Engineer

Insurance Data Engineer

Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Manage and enhance data infrastructure for health and wellbeing analytics.
  • Company: Join DHL, the world's leading logistics provider with a global presence.
  • Benefits: Flexible work environment, competitive pay, and extensive learning opportunities.
  • Why this job: Make an impact in a dynamic team while developing your data skills.
  • Qualifications: Degree in maths or computer science; experience in data analytics preferred.
  • Other info: Work in an international setting with great career growth potential.

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

Overview About DHL and IRM: DHL Group, the logistics provider of the world with over 580,000 employees in more than 220 countries and territories. We are an organization that is not just moving goods around; we have a very clear purpose, and we are: Connecting People. Improving Lives. We provide challenges and opportunities for personal and professional development; we recognize the difference you bring to our business and together we share the pride of building one of the largest world leaders in logistics and supply chain.

In Insurance & Risk Management (IRM) we focus on being trusted advisors by connecting with business colleagues and understanding their needs. We manage and mitigate risk and deliver quality insurance products and services to protect the company’s employees, assets and liabilities and to meet its contractual obligations to customers across the group. As our business keeps growing, we want you in our EMEA region. Ready to immerse yourself in the exciting world of IRM? Join the team and bring your expertise on board! As part of the DHL Group, you will be working with a global network of IRM colleagues and benefit from a wide range of development opportunities.

Job Purpose: To maintain the IRM Employee Benefits Health & Wellbeing Azure data lake and document library, its sophisticated business intelligence Tableau and PowerBI dashboard infrastructure and ensure that data is accurate, congruent and reliable to support IRM EB H&W business objectives and needs as well as further automate data uploads and reinsurance processes increasing overall programme governance and robustness. Contribute to new developments and enhancements of business intelligence, data analysis & analytics infrastructure.

Your tasks:

  • Maintain business intelligence, data analysis & analytics infrastructure by managing data ingestion from different sources.
  • Address recurring operational issues and ensure application of BI Data Analysis & Analytics applications to enhance business decision making capabilities.
  • Further automate and enhance existing data management infrastructure.
  • Coordinate, identify and exploit internal and external data sets and conduct respective (management) reporting to gather and validate requirements.
  • Assist in implementing policies and procedures regarding collating and analyzing data, develop new data analysis processes and assess analytics on an ongoing basis.
  • Under the guidance of the Senior Insurance Data Architect, apply mathematics, statistics, predictive modeling / machine-learning techniques to identify patterns, knowledge in recorded data or develop predictive, real-time model-based insights for accounting and underwriting decision-making purposes.
  • Apply best practices for BI, data warehousing, and data governance and provide inputs that affect the functional area of responsibility.
  • Under the guidance of the Senior Insurance Data Architect, maintain and contribute to the further development of IRM EB H&Ws data repository/intranet SharePoint consisting of information and materials for DHL Group stakeholders.
  • Develops and writes business requirements for the design of solutions.
  • Provides support to test teams and resolves issues based on test results.

Your profile:

  • Bachelor’s degree in mathematics or computer science or related areas.
  • More than 2 years of relevant experience in data analytics or the insurance industry.
  • Experience of being part of an international environment.
  • Strong analytical and problem-solving capabilities.
  • Excellent communication skills/ability to communicate complex ideas to a non-expert audience.
  • Eager to learn, curious mind, able to explore and work independently.
  • Strong attention to detail.
  • Experience with business intelligence platforms (Tableau, PowerBI), SQL and Python programming and cloud platforms (Azure) are preferred.

We offer:

  • Great opportunity to work for the biggest logistics company in the world.
  • International and virtual environment.
  • Flexibility and great opportunity to learn.
  • Tempting Compensation and benefits.

DHL is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. If this is something you would like to do, don’t hesitate and start your application.

Insurance Data Engineer employer: DHL

DHL Group is an exceptional employer, offering a dynamic and inclusive work environment where employees can thrive both personally and professionally. As part of the world's leading logistics provider, you will have access to extensive development opportunities, a global network of colleagues, and the chance to contribute to meaningful projects that connect people and improve lives. With a strong focus on employee wellbeing and a commitment to innovation, DHL provides a unique platform for growth and success in the EMEA region.
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Contact Detail:

DHL Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Insurance Data Engineer

✨Tip Number 1

Network like a pro! Reach out to current employees at DHL or in the insurance data field on LinkedIn. A friendly chat can give you insider info and might just lead to a referral!

✨Tip Number 2

Show off your skills! Prepare a portfolio showcasing your work with Tableau, PowerBI, SQL, and Python. Having tangible examples of your expertise can really set you apart during interviews.

✨Tip Number 3

Practice makes perfect! Get ready for those technical interviews by brushing up on your data analytics knowledge and problem-solving techniques. Mock interviews can help you feel more confident.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the DHL team. Don’t miss out!

We think you need these skills to ace Insurance Data Engineer

Data Analytics
Business Intelligence
Tableau
PowerBI
SQL
Python Programming
Azure
Mathematics
Statistics
Predictive Modelling
Machine Learning
Data Governance
Communication Skills
Attention to Detail
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Insurance Data Engineer role. Highlight your experience with data analytics, BI tools like Tableau and PowerBI, and any relevant programming skills. We want to see how your background aligns with our needs!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your skills can contribute to our mission at DHL. Keep it engaging and personal – we love to see your personality come through!

Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples of how you've tackled challenges in data analytics or the insurance industry. We’re looking for those strong analytical skills, so let us know how you’ve used them in real-world situations!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!

How to prepare for a job interview at DHL

✨Know Your Data Tools

Familiarise yourself with the business intelligence platforms mentioned in the job description, like Tableau and PowerBI. Be ready to discuss how you've used these tools in past projects, as well as any experience you have with SQL and Python. This will show your technical prowess and readiness for the role.

✨Understand the Business Context

Research DHL Group and its Insurance & Risk Management (IRM) division. Understand their purpose of connecting people and improving lives. Being able to articulate how your skills can contribute to their mission will set you apart from other candidates.

✨Prepare for Problem-Solving Questions

Expect questions that assess your analytical and problem-solving capabilities. Think of specific examples where you've tackled data-related challenges, especially in an international environment. Use the STAR method (Situation, Task, Action, Result) to structure your responses.

✨Show Your Curiosity

Demonstrate your eagerness to learn and explore new ideas. Prepare questions about the team’s current projects or future developments in data analytics within IRM. This shows you're not just interested in the job, but also in growing with the company.

Insurance Data Engineer
DHL

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