Senior Master Data Analyst - Governance & Supply Chain

TE Connectivity Ltd.; Muntinlupa; Hybrid; PHP 600,000 - 900,000; Full time

Benefits offered by this job

Hybrid workplace

Job summary

TE Connectivity Ltd. is seeking a Master Data Analyst to develop and implement a comprehensive data governance framework for supply chain planning, ensuring accuracy and consistency across systems.

You will define data standards, monitor data quality, and lead data cleansing and enrichment initiatives while collaborating with IT and business leaders to improve data lifecycle management.

Qualifications

• Bachelor's degree in a related field.
• 1–2 years in master data management or data governance.
• Experience with data quality, lifecycle, and governance.
• Proficiency with Excel, Tableau or Power BI; SAP knowledge a plus.

Responsibilities

• Establish and monitor data quality metrics and KPIs.
• Collaborate with supply chain, IT, and leadership to define data governance policies.
• Lead collection and validation of master data from various sources.
• Define data cleansing, enrichment, and standardization processes.
• Drive adoption of MDM tools and ensure data integrity across platforms.
• Support design and enhancements of MDM systems with IT.
• Provide training on MDM processes and promote governance awareness.
• Stay updated on industry trends and identify improvement opportunities.
• Lead cross-functional data projects with timelines and deliverables.

Skills

Data governance

Data quality management

Data analysis

Excel

Tableau

Power BI

SQL

VBA

Supply chain planning

Education

Bachelor's degree in Supply Chain Management, Business Administration, Information Systems, or related field

Tools

SAP

Tableau

VBA

SQL

Job description

TE Connectivity Ltd. is seeking a Master Data Analyst to develop and implement a comprehensive data governance framework for supply chain planning, ensuring accuracy and consistency across systems.

You will define data standards, monitor data quality, and lead data cleansing and enrichment initiatives while collaborating with IT and business leaders to improve data lifecycle management.