MASTER DATA ANALYST

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

MASTER DATA ANALYST

Posting Start Date: 10/23/26

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Job Description:

Job Overview

Develop and implement a comprehensive master data governance framework for supply chain planning, ensuring data accuracy, consistency, and adherence to data standards and policies

Job RequirementsJOB RESPONSIBILITIES:

• Establish and maintain data quality metrics and KPIs, regularly monitoring and reporting on data quality issues, trends, and improvements (also in VBA and SQL)

• Collaborate with stakeholders, including supply chain planners, IT teams, and business leaders, to identify master data requirements and define data governance policies and procedures.

• Lead the identification, collection, and validation of master data from various sources, ensuring data accuracy and integrity throughout the data lifecycle.

• Define and implement data cleansing, enrichment, and standardization processes to improve data quality and usability.

• Drive the adoption and utilization of master data management tools and systems, providing guidance and support to users, and ensuring data integrity and consistency across platforms.

• Collaborate with IT teams to design, implement, and enhance master data management systems and infrastructure, aligning with business requirements and best practices.

• Provide guidance and training to supply chain planning teams on master data management processes, standards, and tools, promoting data governance awareness and adherence.

• Stay updated on industry trends, best practices, and emerging technologies related to master data management, and proactively identify opportunities for improvement and innovation.

• Lead data-related projects and initiatives, coordinating cross-functional teams, managing timelines and deliverables, and ensuring successful project execution.

QUALIFICATIONS AND SKILLS REQUIRED:

Education, Technical Qualification & Experience

1. Bachelor's degree in Supply Chain Management, Business Administration, Information

Systems, or a related field.

Professional Experience (years in what processes and function)

• Proven experience of 1-2 years in master data management, data governance, or a related field, preferably in a supply chain planning environment.

• Strong knowledge of supply chain planning processes, including demand planning, inventory management, and production planning.

• Proficiency in utilizing master data management tools and systems (e.g., SAP, Tableau, VBA, SQL).

• Solid understanding of data governance principles, data quality management, and data lifecycle management.

Special Qualifications, Knowledge & Skills

• Experience with data analysis and reporting, using tools such as Excel, Tableau, or Power BI.

• Excellent analytical and problem-solving skills, with a keen attention to detail. Need to be detail-oriented and able to communicate with cross-functional teams.

• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.

• Ability to work in a fast-paced and dynamic environment, managing multiple priorities and deadlines effectively.

Expected and desired Behaviour

• Able and willing to work necessary hours to meet all project deadlines, and travel when necessary.

• Able to modify working hours to accommodate global time zones.

• Develop mutually beneficial, respectful, and effective relationships with peers to ensure seamless coordination between departments, maximize synergy, and maintain a shared vision, strategy, and focus

What your background should look like

Generally requires Bachelors degree in appropriate field with a minimum of 5 years of progressively responsible professional level experience; Masters degree or higher or local equivalent may be preferred at this level

Job Locations:

Southkey Hub 2, Indo-China Drive

Muntinlupa, National Capital Region 1780

Philippines

Posting City: Muntinlupa

Job Country: Philippines

Travel Required: Less than 10%

Requisition ID: 160682

Workplace Type: Hybrid

External Careers Page: Sales & Marketing

TE Connectivity and its subsidiaries, affiliates, and operating units (collectively, the "Company") is committed to providing a work environment that prohibits discrimination on the basis of age, color, disability, ethnicity, marital status, national origin, race, religion, gender, gender identity, sexual orientation, protected veteran status, disability or any other characteristics protected by applicable law or regulation.