Data Analyst 3

hace 1 semana


Monterrey, Nuevo León, México Schneider Electric Gruppe A tiempo completo
Job Description - Data Analyst 3

Schneider Electric Gruppe is a leading global company that creates connected technologies to reshape industries, transform cities, and enrich lives. Our employees thrive in over 100 countries, working on complex operational systems that improve the way our customers manage and automate their operations.

About the Position

The Data Analyst is a key role responsible for maintaining data quality, working closely with the Data Governance team and facilities at the regional level. This position supports digital transformation, LTIP projects, and continuous improvement initiatives to ensure data quality.

Key Responsibilities
  • Coordinate regional, plant, and distribution center data master changes.
  • Administer One shuttle and improve on-time rates in One shuttle workflow.
  • Identify process and quality gaps, resolve data issues in a timely manner, and establish ongoing processes for measuring master data process activity.
  • Prepare and publish monthly data quality reports to understand root causes and take corrective actions.
  • Evaluate business impact and lost opportunities due to poor data quality.
  • Provide localized training and support new modules, releases, and projects deployment.
  • Ensure role assignment per user in the plant without risks and violations, and audit SAP access users quarterly.
Qualifications
  • Self-starter with the ability to work independently with little supervision.
  • Rigorous and accurate, with strong listening, negotiating, and decision-making skills.
  • Open-minded and open to change, with excellent communication and teaching abilities.
  • Focused on results and achievements, with the ability to cooperate and work in a multicultural environment.
  • Data migration or life cycle on master data is helpful, with a Bachelor's Degree in Engineering, Supply Chain Management, Logistics, or Business Management.
  • SAP experience/ERP experience is required, with excellent problem-solving abilities and operational experience in the domain.

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