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Data Analyst

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Hybrid

Data Analyst

Renren Giantly Philippines Inc

Data Analyst

Skills

Testing & QAProcess ImprovementCompliance

7 days ago

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Important information


Contract type:

Permanent

Salary:

₱360,000 – ₱420,000 / year

Location:

Mandaluyong City, Metro Manila, Philippines

Work mode:

Hybrid

Published on:

13 October 2026

What they need


About the role

We are seeking a highly detail-oriented Business Process Associate to support data accuracy, compliance, and operational integrity across multiple systems. This role focuses on validating data, reconciling information across platforms, and ensuring that business processes are executed consistently and in accordance with defined standards.

Key responsibilities

  • Compare and reconcile data across multiple internal and external platforms to ensure complete accuracy
  • Conduct routine data audits to identify discrepancies, gaps, or compliance issues
  • Verify that defined business processes are followed correctly and consistently across systems
  • Document findings, exceptions, root causes, and corrective actions
  • Collaborate with operations, product, and engineering teams to resolve data or process discrepancies
  • Maintain and update process documentation, controls, and checklists
  • Track recurring issues and support process improvements to reduce errors and rework

About you

  • Exceptional attention to detail and a strong commitment to accuracy
  • Experience working with structured data, reports, or system outputs
  • Ability to follow defined procedures while identifying deviations or inconsistencies
  • Strong organizational, documentation, and time-management skills
  • Ability to work independently and manage high-volume, accuracy-sensitive tasks
  • Clear written and verbal communication skills
  • Prior experience in business operations, compliance, audit, or process-oriented roles (preferred)
  • Experience with data reconciliation, quality assurance, or control functions (preferred)
  • Familiarity with reporting tools, spreadsheets, or internal dashboards (preferred)
  • Experience in regulated or high-accuracy environments such as insurance, finance, logistics, or healthcare (preferred)

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