Data Analyst - SAS BI

Zohorecruit; Brussel Hoofdstad; On-site; EUR 60,000 - 85,000; Full time

Job summary

Zohorecruit is recruiting a Data Analyst in Belgium to turn complex datasets into actionable insights for insurance tech solutions. You will develop SAS models, create BI dashboards, and collaborate with product, underwriting, and engineering teams to drive data-driven decisions.

The role focuses on data quality, governance, and delivering clear presentations to stakeholders, with fluency in English and advantage for Dutch/French speakers.

Qualifications

• 3–7 years of experience in data analytics, ideally in insurance, financial services, or technology.
• Strong expertise in SAS for data analysis, modeling, and reporting.
• Proven experience with BI tools (Power BI, Tableau, Qlik, or similar).
• Solid knowledge of SQL and data management best practices.
• Strong analytical mindset, able to translate data into actionable insights.
• Excellent communication and collaboration skills.
• Fluent in English; proficiency in Dutch and/or French is a strong advantage.

Responsibilities

• Collect, analyze, and interpret large datasets to support business and product decisions.
• Develop and maintain SAS models to drive insights on risk, pricing, and performance.
• Build interactive business intelligence (BI) dashboards and reports to make insights accessible across teams.
• Collaborate with product managers, underwriters, and engineers to design data-driven insurance solutions.
• Contribute to advanced analytics projects, including predictive modeling and automation initiatives.
• Ensure data quality, governance, and compliance with regulatory requirements.
• Present findings clearly to both technical and non-technical stakeholders.

Skills

Analytical mindset

Communication

Collaboration

English (Fluent)

Dutch/French advantage

Tools

SAS

Power BI

Tableau

Qlik

SQL

Job description

Bruxelles, Belgium | Posted on 15/05/2026

Are you a data enthusiast who wants to shape the future of insurance through technology?

Our client, a fast-growing InsurTech company in Belgium, is looking for a Data Analyst to turn complex data into meaningful insights that fuel smarter decisions and innovative products.

In this role, you’ll work at the intersection of insurance, technology, and analytics, helping the business and its clients better understand risks, optimize pricing, and deliver tailored customer experiences.

Collect, analyze, and interpret large datasets to support business and product decisions.

Develop and maintain SAS models to drive insights on risk, pricing, and performance.

Build interactive business intelligence (BI) dashboards and reports to make insights accessible across teams.

Collaborate with product managers, underwriters, and engineers to design data-driven insurance solutions.

Contribute to advanced analytics projects, including predictive modeling and automation initiatives.

Ensure data quality, governance, and compliance with regulatory requirements.

Present findings clearly to both technical and non-technical stakeholders.

Requirements

3–7 years of experience in data analytics, ideally in insurance, financial services, or technology.

Strong expertise in SAS (must-have) for data analysis, modeling, and reporting.

Proven experience with BI tools (Power BI, Tableau, Qlik, or similar).

Solid knowledge of SQL and data management best practices.

Strong analytical mindset, able to translate data into actionable insights.

Excellent communication and collaboration skills.

Fluent in English; proficiency in Dutch and/or French is a strong advantage.

Be part of an innovative InsurTech that’s transforming the insurance landscape in Belgium and beyond.

Work in a dynamic, tech-driven environment where your ideas and expertise have a real impact.

Collaborate with multidisciplinary teams of data scientists, engineers, and insurance specialists.

Benefit from career development opportunities, technical training, and industry exposure.

Competitive compensation package, including performance-based incentives and flexible working options.