At a Glance
- Tasks: Analyse data to provide insights and support business decisions using AI and advanced analytics.
- Company: Join a forward-thinking team at HDI, driving data innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Be part of a diverse team fostering continuous learning and ethical AI practices.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Experience with SQL, Python, and data visualisation tools; analytical mindset required.
The predicted salary is between 40000 - 50000 € per year.
The HDI Data Analytics & AI team is a new team within the branch, pulling expertise from data roles across the company. This team is designed to be the heart of the business' data use, with business partners and stakeholders across all aspects of the branch. We will work closely with these stakeholders to enable the company with good data practice, assist with reporting, and developing use cases for Data & AI enhancements.
The Data Analyst is responsible for collecting, analysing, and interpreting data to provide actionable insights, supporting business decisions and operational improvements. This will be across data analytics and building artificial intelligence use cases. The data analyst will support the delivery of advanced analytics and artificial intelligence solutions that enable data-driven decision-making and measurable business impact.
Reporting to the Data Analytics & AI Team Lead, this role translates complex business challenges into actionable analytical and AI use cases, ensuring timely and high-quality execution. The data analyst will foster technical excellence and continuous learning in AI, machine learning, and advanced analytics. They will ensure adherence to governance standards, ethical AI practices, and robust model monitoring to maintain accuracy, fairness, and compliance.
Working closely with cross-functional stakeholders and Subject Matter Experts (SMEs) from the business, the data analyst will identify opportunities for predictive analytics, automation, and AI-driven insights, embedding these solutions into business processes. Through effective communication and collaboration, the role ensures insights are actionable and deliver tangible value. Ultimately, this role combines hands-on business and technical expertise to build and deliver scalable analytics and AI capabilities that support HDI’s strategic objectives.
Key accountabilities- Lead the delivery of advanced analytics and AI solutions that drive measurable business impact across key functions.
- Translate business problems into analytical and AI use cases; design and implement models, dashboards, and decision-support tools.
- Deliver ad hoc data analysis and reporting tasks as required, ensuring outputs are accurate, timely and aligned with business needs.
- Understand and support data quality, lineage and governance.
- Where required work to gather, clean, and analyse large data sets across multiple sources.
- Develop and maintain standards for data analysis, AI model development and experimentation, aligned with enterprise governance and guardrails.
- Collaborate with cross-functional teams / SMEs to identify opportunities for predictive analytics, automation, and AI-driven insights.
- Ensure ethical and responsible use of AI, including bias monitoring and compliance with data governance policies.
- Foster continuous learning and experimenting in AI, machine learning, and advanced analytics techniques.
- Monitor performance of AI models and analytics solutions; identify trends, anomalies, and implement improvements to ensure scalability.
- Communicate insights and recommendations effectively to stakeholders, ensuring integration into business processes.
- Be seen as a go-to support for the business and ensure effective communication into HDI’s Global Data Analytics & AI Home Office teams.
- Support change management initiatives and contribute to building a culture of data-driven decision-making.
- SQL, Snowflake, use of databases, ability to code (Python).
- Knowledge of data management tools and able to handle large datasets.
- Power BI or other visualisation tools.
- Analytical skills and the ability to interpret business information sensibly to ensure accurate and consistent information is always provided.
- Be able to influence opinion to achieve desired outcomes.
- The ability to make sound judgments under pressure.
- Ability to manage change and apply change management principles.
- Strong planning, organisation, and ability to manage workload under pressure and meet deadlines.
- Solid understanding of insurance terminology across all lines of business.
- Strong risk management capabilities, including monitoring of operational controls.
- Highly numerate with accuracy and attention to detail.
- Good report writing skills and interpersonal skills.
- CII Qualification or willingness to study CII or appropriate professional qualification (desirable).
As an equal opportunities employer, we are committed to creating an inclusive environment for all employees, recognising that a diverse and inclusive workplace is a creative and prosperous one.
Data Analyst employer: HDI Global SE
At HDI, we pride ourselves on being an excellent employer, fostering a collaborative and innovative work culture that empowers our Data Analysts to thrive. With a strong commitment to employee growth, we offer continuous learning opportunities in advanced analytics and AI, ensuring our team members are at the forefront of industry developments. Located in a dynamic environment, we provide a supportive atmosphere where diverse perspectives are valued, enabling our employees to make meaningful contributions that drive business success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at HDI. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a few case studies that highlight your data analysis and AI projects. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by brushing up on common data analyst questions and scenarios. We recommend doing mock interviews with friends or using online platforms to build your confidence.
✨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 team at HDI. Don’t miss out!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with SQL, Python, and any data management tools you've used. We want to see how your skills align 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 data analytics and AI. Share specific examples of how you've tackled business challenges with data-driven insights.
Showcase Your Analytical Skills:In your application, don’t just list your skills—demonstrate them! Include examples of past projects where you’ve used analytics to drive decisions or improve processes. We love seeing real-world applications!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at HDI Global SE
✨Know Your Data Tools
Make sure you're familiar with SQL, Snowflake, and Python. Brush up on how to handle large datasets and use visualisation tools like Power BI. Being able to discuss your experience with these tools will show that you're ready to hit the ground running.
✨Understand the Business Context
Before the interview, take some time to research the company and its industry. Understand how data analytics and AI can impact their business decisions. This will help you translate complex business challenges into actionable insights during your conversation.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or analyse case studies. Practice articulating your thought process clearly, as this will demonstrate your analytical skills and ability to make sound judgments under pressure.
✨Showcase Your Communication Skills
Since you'll be working closely with cross-functional teams, it's crucial to communicate insights effectively. Prepare examples of how you've successfully collaborated with stakeholders in the past, ensuring that your recommendations were actionable and integrated into business processes.