(Sr.) Technical Support Engineer Tainan (Data Quality Driven)

Job Description
This role is responsible for ensuring high-quality reliable and up-to-date master and product data to support global business processes and operational excellence. The position combines hands-on master data management with expert-level data quality analysis solution design and continuous improvement initiatives.

Managing maintaining and cleansing master and product data to meet defined data quality standards and business requirements.
Performing root cause analyses on data quality issues and defining structural data improvement initiatives including impact assessments.
Defining creating and maintaining data definitions quality checks and governance standards in collaboration with business stakeholders.
Preparing and delivering data quality reporting metrics and insights to support decision-making and continuous improvement.
Translating business requirements into functional and technical specifications user stories and data solutions including cleansing or migration strategies when required.
Supporting and executing testing activities (e.g. user acceptance and end-to-end testing) for new or changed data tooling and solutions and facilitating implementation within the organization.
Providing first- and second-line support for data-related incidents and operational issues coordinating with IT and other stakeholders as needed.
Creating and maintaining work instructions procedures and standard ways of working and supporting training and knowledge transfer across stakeholder groups.
Actively contributing to data governance boards the master data management roadmap and continuous improvement of data management processes.

Qualifications
Education:
- Bachelors degree in Information Technology Supply Chain or a related field preferred.

Experience:
- Proven experience in master data management and/or data quality management. - Experience with ERP systems such as SAP and data reporting tools.
- Experience with root cause analysis data quality improvement initiatives and data governance.
- Understanding of data modeling KPIs and the impact of data quality on business processes.

Skills:
- Strong analytical and problem-solving skills.
- Proactive result-driven and hands-on mindset.
- Excellent professional communication skills in English.
- Ability to work with global cross-functional stakeholders and drive continuous improvement.