(Tech) Data Analyst

Edenred is the global leader in Benefits & Engagement and Mobility. With more than 1 million client companies across 44 countries, Edenred's platform gives more than 60 million users access to the services and products of more than 2 million partner merchants. Edenred offers digital solutions dedicated to employees (meal vouchers, commuting, gift cards, wellness, rewards, and preferential offers), fleet managers (multi-energy solutions including EV charging, maintenance services, tolls, and parking), and corporate payments (virtual cards).

Guided by the Group's purpose, these solutions enhance employees' well-being and purchasing power and simplify the lives of professional drivers. They promote access to healthier food, more environmentally friendly products, and more sustainable mobility. Finally, they improve the attractiveness and efficiency of businesses while vitalizing the employment market and local economies.

Edenred's 12,000 employees are committed to making the world of work a connected ecosystem that is safer, more efficient and more responsible every day.

In 2025, thanks to its unique technology platform, the Group generated a business volume of €49 billion, mainly through mobile applications, online platforms, and cards.

Edenred is listed on the Euronext Paris stock exchange and included in the following indices: CAC Next 20, CAC Large 60, Euronext 100, Euronext Tech Leaders, FTSE4Good, DJSI Europe Index and DJSI World Index.

YOU WILL VIBE WITH US

As part of Edenred BeLux, you will be working as Data Analyst in our Tech Data Team

The main scope of Tech Data Team is to create data products on our Global Edenred Azure Data Platform, build data sets, provide strategic dashboard & reports in Power BI and enable self-service reporting across the organization/

As a Data Analyst, you are a professional specialized in the design, implementation, and management of the systems, architectures, and tools necessary for the collection, storage, transformation, and distribution of data. The primary role of a Tech Data Analyst is to develop and maintain the technical infrastructure that allows companies to organize and efficiently exploit their data.

The key stakeholders for this position are:

• Internal: End-users & key users, Data & Product managers and executives, process owners/team leaders and managers, Agile Teams (Scrum Masters and Product Owners).
• External: HQ’s corporate IT, Remote Development centers, customers and partners.
• Reporting Line: you report directly to the IT Back-end & Data Product Owner and your N+2 will be the CTO Edenred BeLux.

As Data Analyst, you will be in charge of Collecting & organizing the data on an efficient, compliant & secured way (pricing analytics, Client / merchant segmentation, Business Review reporting :

• Business analysis & modelling: understanding, documenting, supporting, and analyzing procedures that support the business functions performed in the different departments of the company..
• Data management: Takes responsibility for the accessibility, retrievability and security of specific subsets of data
• Data visualization: develop reports & dashboards in PowerBI or other Data Visualization tools
• Requirements definition & management: defining user stories and acceptance criteria with the key users, Product Owners, Product Managers and Business Sponsors.
• Development & implementation: participate actively with the dev. team, lead the validation efforts with the end users and proactively help the team members on their tasks to finish each Sprint.
• Application support & Customer service support: as a team, take full responsibility of changes put into production
• The quality of the deliverables: testing of Business Process & applications.

WE WILL VIBE WITH YOU

We are looking for individuals with a proven track record (3+ years) in data analysis in financial services industry or gained in a consultancy environment, or a similar relevant experience.

A person who can bridge business needs and data solutions by translating business requirements into structured data models, specifications, and analytics use cases.

Ideally, the candidate has experience working in an Agile/Scrum/SAFE context.

You have proficiency in:

• Understanding of conceptual, logical, and physical data models.
• Ability to design and document data flows and business data rules.
• Knowledge of data warehouses, data marts, APIs, ETL/ELT processes, and integration patterns.
• Understanding of master data, reference data, and data lifecycle management.

Programming and Data Visualization Languages

• Proficiency in SQL and data analysis languages.
• Strong understanding of DAX and analytical calculations.