About this role
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 Overview We are seeking a highly analytical, data-driven professional to support master data management and digital transformation initiatives across the organization.
- This role will establish and maintain data governance standards, ensure data quality and integrity, and leverage analytics, automation, and AI-driven solutions to improve business processes and operational efficiency.
- The ideal candidate will bridge business requirements and technology solutions through data management, process optimization, reporting, and advanced analytical techniques.
Job Requirements Key Responsibilities
- Master Data Governance & Management Develop, implement, and maintain master data governance frameworks, standards, policies, and procedures to ensure data accuracy, consistency, and integrity.
- Identify, collect, validate, cleanse, enrich, and standardize master data from multiple business systems and sources.
- Establish and monitor data quality metrics, KPIs, and reporting mechanisms to measure and improve data accuracy and reliability.
- Partner with business stakeholders, supply chain teams, IT, and data owners to define master data requirements and governance processes.
- Support the adoption, maintenance, and enhancement of Master Data Management (MDM) systems and tools.
- Ensure data consistency across enterprise applications, databases, and reporting platforms.
- Provide training and guidance to business users on data governance, master data standards, and best practices.
- Data Analytics & Process Automation Analyze business processes and identify opportunities for automation, optimization, and digital transformation.
- Design, develop, and maintain ETL processes to extract, transform, and load data from multiple sources.
- Build and maintain dashboards, reports, and data visualizations using tools such as Power BI and Tableau.
- Develop automated solutions using technologies such as Python, SQL, Power Automate, Power Apps, VBA, UiPath, and other automation platforms.
- Utilize statistical analysis, predictive modeling, and data mining techniques to generate actionable business insights.
- Perform root cause analysis and provide data-driven recommendations to improve operational performance and decision-making.
- Support AI and machine learning initiatives by preparing, validating, and analyzing datasets.
- Cross-Functional Collaboration & Project Management Collaborate with business leaders, supply chain teams, IT, database administrators, and architecture teams to understand data and process requirements.
- Lead or participate in data-related projects and digital transformation initiatives, ensuring timely delivery and successful implementation.
- Support the integration and testing of new data sources, systems, and digital tools.
- Present analytical findings, recommendations, and business insights to stakeholders clearly and concisely.
- Document data processes, governance standards, methodologies, and automation solutions for knowledge sharing and future reference.
- Stay current with emerging technologies, analytics trends, AI solutions, and data management best practices.
Qualifications
- Bachelor’s degree in data science, Computer Science, Information Systems, Statistics, Engineering, Supply Chain Management, or a related field.
- 3-5+ years of experience in Master Data Management, Data Analytics, Business Intelligence, Data Science, or related disciplines.
- Strong understanding of data governance, data quality management, and master data processes.
- Experience with SQL and relational databases.
- Experience with data transformation, ETL development, and data integration.
- Proficiency in Power BI, Tableau, Excel, and VBA.
- Experience with Python for data analysis, automation, and process improvement.
- Strong analytical, problem-solving, and data visualization skills.
- Experience working with large datasets and multiple enterprise systems.
- Excellent communication and stakeholder management skills.
- 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