Senior Data Analyst

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.