Mission

The Data Analyst will work on a new product (FINSTAR > Data Capture) of a global project focused on the evolution of third-party data ecosystems would aim to streamline the integration of new data and technologies such as data virtualization, APIs, etc., enhancing the accessibility and real-time availability of data across systems.

FINSTAR has the objective and ambition to build and deploy a new Financial Statement referential that serves internal clients/ business lines next needs, that allows centralized access to quality, standardized (accounting standards), certified (CAC), validated (financial analysts) and homogeneous financial data according to internal models.

Its features must meet the operational needs of the business lines and the needs of internal and regulatory reporting and support the diversification of existing sources and accounting standards.

The opportunity to extend the scope of the company's entities served within FINSTAR will be explored during the project phase.

The Data Analyst will focus on guarantee the follow-up and reliability of the result of this product and quality.

The global aim of the project ensures high data quality and consistency across various REFERENTIALS data sources and reducing discrepancies in reporting and closing figures by performing a deep analysis on the existing data and sources and transform the processes and technologies used, including the existing REFERENTIALS. The goal is to streamline workflows, improving time to market and enabling faster and more accurate insights for better decision-making.                               

Knowledge in referential data is a plus.

Main Tasks:

• Create business-facing dashboards and high impact data visualizations and analyses with complex data structures which will support company's 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.                                   

Profile

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 
• French

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

Attention to detail / rigor                                       

Organization

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.