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Analyst, Global Data Management

Colgate-Palmolive

Mumbai, Maharashtra2–5 yrs4.2 – 9.5 LPA (estimated)
Full-time

Posted YesterdayBe an early applicant

Analyst, Global Data Management

Mumbai, Maharashtra

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Experience

2–5 yrs

Salary

₹4.2 – 9.5 LPA (est.)

Job type

Full-time

Openings

1

Education

Bachelor’s degree in Commerce, Accounting, Business, or related discipline

Apply by

13 Nov 2026

The Global Data Management (GDM) Analyst – Finance acts as an internal consultant and data guide, supporting global and local data projects such as SAP S/4HANA migrations. The role enforces master data standards, evaluates data field impact, and drives process improvements to enhance operational efficiency and decision‑making. The analyst collaborates with business teams, builds data quality scorecards, and creates SOPs and training playbooks to expand data governance across new business areas.

  • Create GL accounts, cost centers, and secondary cost elements
  • Support MDG‑F enhancements and standardize GL accounts
  • Validate GDM finance data and execute data mapping, system testing, and legacy data profiling during rollouts
  • Develop data visualizations and reports using Power BI or Tableau
  • Test automation tools, AI validation checks, and workflow improvements
  • Prepare metadata structures and mapping templates for new business units or functions
  • Maintain global data dictionaries, field metadata, and approval rule documentation
  • Build, refresh, and maintain data quality scorecards and dashboards
  • Draft SOPs, user guides, and training playbooks
  • Compile data quality summaries and profiling logs for governance meetings
  • Bachelor’s degree in Commerce, Accounting, Business, or related discipline
  • 2–4 years of experience in finance data governance, data quality, process improvement, or data analysis
  • Hands‑on experience with data project activities, system testing, or data mapping
  • Proficiency in data visualization tools such as Power BI, Tableau, or Looker
  • Advanced spreadsheet skills (MS Excel or Google Sheets)
  • Strong technical writing and communication skills
  • Analytical mindset to review large datasets and spot formatting or structural issues
  • Detail orientation and problem‑solving ability in an operational queue environment

Skills

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