Job Description

Inetum is a European leader in digital services. Inetum’s team of 27,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good. Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility. Driven by its ambition for growth and scale, Inetum generated sales of 2.4 billion euros in 2024.

Are you passionate about turning data into actionable insights? At Inetum, we are looking for a Business Data Analyst to bridge the gap between data and business, ensuring that information is available to support strategic decisions efficiently.

Key Responsibilities:

• Gather and define business requirements for data initiatives;
• Extract and analyze data from commercial and analytical systems for ad hoc analysis;
• Design and structure data models to create valuable products and ensure data consistency;
• Perform business analysis to support operations and decision-making;
• Communicate effectively with stakeholders and translate insights into actionable recommendations;
• Contribute to the evolution of our Data Warehouse and Datahub.

Deliverables:

• Development of dashboards and data visualization strategies;
• Creation of documents and reports to support decision-making;
• Compilation of information and preparation of analytical reports;
• User Stories for Data Warehouse enhancements;
• Data modeling within the Data Warehouse;
• Ad hoc data collection from commercial and analytical systems.

Qualifications

• Up to 10 years of experience in similar roles;
• Advanced knowledge of SQL for data extraction and manipulation;
• Strong experience with dashboards and data visualization tools;
• Advanced Excel and proficiency in Office tools;
• Preferably experience with SAS Enterprise Guide and DOMO;
• Solid understanding of data modeling and warehousing concepts.