Data Analyst

Inetum is a European leader in digital services. Inetum’s team of 28,000 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 2.5 billion euros in 2023.

Being part of the The Data Quality Team, the Data Analyst will closely collaborate with stakeholders, system owners and data consumers, being responsible to: provide data quality monitoring through indicators and support remediation processes; Provide to all stakeholders a clear visibility of data-related controls and its implementation. The main responsibilities are to Control the consistency of data input by the customers and different entities; Perform and contribute to data remediations (local & central); Identify data quality issues and resolution to relevant business users ; Work in close collaboration with all business data consumers to take the right decisions on functional evolution and manage impacts on data usage; Propose and/or contribute to all initiatives allowing the improvement of the data and its quality; Organize and run tests of enhancements linked to data quality; Monitor data sourcing, perform analysis of rejected data, inform stakeholders and customers.                             

Main Tasks:

• Create business-facing dashboards and high impact data visualizations and analyses with complex data structures which will support internal or external clients achieve their objectives in terms of revenue generation, efficiency creation, production levels and risk management.
• Collaborate with internal/external clients to best understand their operational and strategic needs.
• Creative descriptive, predictive and quantitative analyses addressing key business priorities and supporting the stakeholder’s decision making.      
• Support and monitor the run of these activities of data analysis, reporting and data mining.
• Contribute to disseminate a culture of data driven solutions within the company.                      

Technical Skills:

• Data knowledge / Data processing / Data quality / IT Development
• Database Management (SQL)
• Methodologies (Agile)
• Office Pack (MS Excel)
• Power BI / Tableau                                      

Language Skills

• English                       

Soft Skills:

• IT - Business/IT relationship
• Analytical Ability
• Data Intelligence, Research and Quant Analytics
• Ability to understand, explain and support change
• Ability to collaborate/Teamwork