Cross-Functional Collaboration
- Collaborate with various teams across the organization to maintain, enhance, and harmonize master data systems and processes.

Data Quality & Integrity
- Ensure master data quality by performing root cause analysis, implementing corrective actions, and regularly reviewing key parameters such as yield, lead time, buffer stocks, and vendor costs.

Automation & Process Improvement
- Drive automation and harmonization of data maintenance processes to improve efficiency and consistency.

Project & Change Management
- Lead and support master data and reporting-related initiatives, including functional specification creation, design reviews, testing phases, and user training.

Training & Knowledge Sharing
- Train Master Data team members and other departments on tools, processes, and best practices; organize and conduct training sessions.

Stakeholder Engagement
- Partner with internal and external business functions to ensure global master data is maintained at the highest quality levels.

Continuous Improvement & Documentation
- Document lessons learned, develop contingency plans, and support continuous improvement efforts aligned with organizational standards like OneRenesas.

📌 Senior Data Analyst (Bengaluru)
🏢 Renesas
📍 Bengaluru