Data Steward

About the role

Join the Services Business Unit as a Data Steward and help build a trusted data foundation that powers smarter business decisions. You will ensure the accuracy, consistency, and integrity of business data while supporting reporting, governance, and continuous data‑quality improvements across the organization.

Key responsibilities

• Maintain, validate, and enrich business data to guarantee accuracy, completeness, and consistency across systems.
• Support data‑governance initiatives by monitoring data quality and applying best practices.
• Analyze large data sets to identify trends, anomalies, and opportunities for quality improvement.
• Collaborate with cross‑functional stakeholders to resolve data issues and maintain trusted data assets.
• Develop reports and dashboards that deliver actionable insights for business decisions.
• Contribute to continuous‑improvement initiatives by optimizing data‑management processes and standards.

Required profile

• Bachelor's degree in Business, Information Systems, Data Analytics, Computer Science, or a related field.
• 1–2 years of experience in data management, data stewardship, business analytics, or a similar role.
• Advanced proficiency in Microsoft Excel.
• French language proficiency is highly desirable.
• Strong analytical mindset with excellent attention to detail.
• Ability to manage multiple priorities in a fast‑paced environment while maintaining high‑quality standards.
• Excellent communication skills and a proactive, continuous‑improvement attitude.

Required skills

• Data management – maintaining accurate, consistent, and reliable business data.
• Data analysis – interpreting large data sets to spot trends and anomalies.
• Data quality & governance – ensuring data integrity through validation, cleansing, and governance practices.
• Microsoft Excel – analyzing, organizing, and reporting data efficiently.
• Problem solving – identifying root causes and implementing effective data solutions.
• Stakeholder collaboration – working effectively across teams to resolve data‑related challenges.