Senior Master Data Specialist

3 days ago

Amrāvati, Maharashtra, India beBeeData Full time ₹ 8,00,000 - ₹ 16,00,000

About the Role

The Data Analyst is responsible for providing expert-level support to business units in managing master data objects.

Responsibilities

  • Expert Guidance & Training Tech Skills: Proficiency in data management tools and ERP systems (e.g., SAP, Oracle).
  • Deliver training sessions and documentation to business users on master data standards and processes.
  • Act as a subject matter expert (SME) for master data objects across various domains (e.g., customer, vendor, material, finance).
  • Provide ongoing support and consultation to ensure correct usage and maintenance of master data.
    • Master Data Maintenance Achievements:
    • Execute master data creation, updates, and deletions in line with defined Service Level Agreements (SLAs).
    • Ensure high levels of accuracy and completeness in all master data transactions.
    • Collaborate with cross-functional teams to validate and verify data inputs.
      • Quality Assurance & Compliance Metrics:
      • Monitor data quality and perform regular audits to identify inconsistencies or errors.
      • Implement corrective actions and continuous improvement initiatives.
      • Ensure compliance with internal data governance policies and external regulatory requirements.
        • Reporting & Analysis Duties:
        • Generate reports on master data performance, SLA adherence, and data quality metrics.
        • Analyse trends and provide insights to improve data management practices.

Qualifications

  • B.Tech /B.E/MCA/BCA/M.Sc-IT/CS
  • Experience: 4-8 years

Required Skills

  • Strong understanding of master data domains and governance principles.
  • Excellent communication and training skills.
  • Detail-oriented with a focus on data accuracy and process efficiency.
  • Ability to work collaboratively across departments.

Preferred Skills

  • Performance Metrics
  • SLA compliance rate for master data tasks.
  • Accuracy and completeness of master data entries.
  • Number of training sessions conducted and user satisfaction scores.
  • Frequency and resolution rate of data quality issues.

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