Insurance Data Analyst

Insurance Data Analyst

*sponsorship not provided*

Location: Brussels

Language Requirements: Fluent in Dutch or French & proficient in English (essential)

Are you passionate about turning complex data into meaningful insights that drive business decisions? This dynamic consultancy looking for a Data Analyst to join their team in the insurance sector. If you enjoy working with large datasets, uncovering trends, and supporting strategic initiatives with data-driven recommendations—this is your opportunity to make a real impact in a forward-thinking and agile business.

What You’ll Do

As an Insurance Data Analyst, you will play a key role in helping the team understand the data and transform it into actionable insights. You’ll work with cross-functional teams, apply statistical methods, and use visualization tools to communicate your findings to stakeholders at all levels.

Your Key Responsibilities:

Data Collection & Preparation:

• Gather and clean data from multiple sources (databases, APIs, spreadsheets) to ensure accuracy and usability.

Analysis & Insight Generation:

• Use statistical techniques to explore and interpret data, identifying patterns, trends, and correlations.

Visualization & Reporting:

• Build compelling dashboards and visual reports using tools like Tableau, Power BI, or matplotlib.

Stakeholder Communication:

• Present findings in a clear, concise manner to both technical and non-technical audiences.

Strategic Collaboration:

• Work with internal teams to understand business needs and deliver data-backed solutions that drive performance and growth.

Continuous Improvement:

• Stay current on new technologies and trends in data analytics and bring innovative thinking to the team.

What You Bring

• Proficiency in SQL and data querying techniques
• Experience with Python or R for data analysis
• Strong skills in data visualization and reporting tools
• Solid understanding of statistics, data modelling, and data warehousing concepts
• Excellent analytical and problem-solving abilities
• Strong communication and presentation skills
• Independent, detail-oriented, and eager to learn
• Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field
• Master’s degree or relevant certifications are a plus
• Fluency in Dutch or French, with good command of English