Master Data Analyst — Global Data Steward (Hybrid)

IDEMIA Public Security; Philippines; Hybrid; PHP 600,000 - 900,000; Full time

Job summary

IDEMIA Public Security in Makati, Philippines is seeking a highly analytical Master Data Analyst to join our global operations hub. In this role you will create, maintain, and ensure quality of master data (Customer, Supplier, and Project data) across multiple systems, enabling accurate reporting and smooth business operations.

You will collaborate with Sales, Finance and Project teams to gather data requirements, perform data quality analyses, cleanse duplicates, and implement governance

Qualifications

• Hands-on experience in master data management.
• Bachelor's degree preferred (Business, IT, Finance, or related).
• Proficiency with ERP systems (Microsoft Dynamics Great Plains a plus).
• Strong Excel and MS Office skills.
• Good command of English (B2 or higher).
• Ability to work independently and manage multiple priorities.

Responsibilities

• Govern, manage and maintain master data within ERP and business applications.
• Ensure timely creation and modification of master data in line with SLAs.
• Perform data quality analyses, identify duplicates and inconsistencies, and cleanse/enrich data.
• Maintain master data process documentation and ensure compliance.
• Collaborate with Sales, Finance and Project teams to gather data requirements.
• Conduct system testing and validate master data issues, supporting data migrations.

Skills

Master data management

Excel

MS Office

ERP systems

English communication

Education

Bachelor's degree preferred

Tools

Microsoft Dynamics Great Plains

Job description

IDEMIA Public Security in Makati, Philippines is seeking a highly analytical Master Data Analyst to join our global operations hub. In this role you will create, maintain, and ensure quality of master data (Customer, Supplier, and Project data) across multiple systems, enabling accurate reporting and smooth business operations.

You will collaborate with Sales, Finance and Project teams to gather data requirements, perform data quality analyses, cleanse duplicates, and implement governance