Data Quality Specialist
hace 4 semanas
Schneider Electric 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 together to deliver solutions that ensure Life Is On everywhere, for everyone, and at every moment.
The ideal candidate will have a deep understanding of data lifecycle and be able to maintain data quality by working closely with the Data Governance team and all facilities at the regional level.
The Data Analyst is responsible for supporting Digital transformation, LTIP Projects, and Continuous improvement initiatives to ensure data quality. The role involves coordinating regional, plant, and distribution center data master changes, administering One shuttle, and improving on-time rates in One shuttle Workflow.
Key Responsibilities:
- Coordinate Regional, Plant and Distribution Center data master changes.
- Administer One shuttle.
- Improve On-time rate in One shuttle Workflow.
- Identify process and quality gaps and resolve data issues in a timely manner.
- Establish and maintain an ongoing process for measuring master data process activity and data quality.
- Prepare and publish monthly data quality report.
- Evaluate business impact and lost opportunity due to poor data quality.
- Provide localized training.
- Support new modules, releases, and projects deployment by ensuring data creation or modifications.
- Audit SAP access users every quarter.
Requirements:
- Self-starter with the ability to work independently with little supervision.
- Rigorous and accurate.
- Listening, negotiating, and decision-making skills.
- Open-minded and open to change.
- Communication and teaching oriented.
- Focused on results & achievements.
- Ability to cooperate and work in a multicultural environment.
- Data Migration or Life cycle on Master Data is helpful.
Education:
- Bachelor's Degree in Engineering, Supply Chain Management, Logistics, or Business Management.
- SAP experience / ERP experience.
- Excellent problem-solving abilities.
- Operational experience in the domain.
- Strong attention to detail and follow-through.
- Strong analytical, numerical, math, statistics skills.
Schedule:
Full-time
Req:
0093BY
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