Senior MDM Product Data Analyst (Bangalore, in-person)

The role

This person will manage, govern, and transform product master data across enterprise systems. They will work with technical and business teams to analyze product data, define quality rules, and support MDM migration and onboarding.

What you will do

• Analyze, manage, and reconcile product master data across multiple systems.
• Leverage AI/GenAI tools for data profiling, analysis, and root-cause analysis.
• Translate business and product requirements into data requirements and validation rules.
• Perform detailed data profiling to identify quality issues and integrity risks.
• Define, document, implement, and validate data quality rules.
• Develop source-to-target analysis and reconciliation approaches.
• Work with stakeholders to understand product structures, SKUs, and lifecycles.
• Analyze and resolve complex product data issues.
• Support MDM data onboarding, enrichment, cleansing, and migration.
• Develop data validation logic and partner with technical teams on implementation.

Required qualifications

• 8+ years of relevant experience in Data Analytics, Master Data Management, Product Data Management, and/or Data Quality.
• Strong hands-on experience working with Product Master Data and Product Catalog data.
• Strong understanding of SKU structures, product hierarchies, attributes, product/component relationships, configurations, lifecycle, and classification.
• Strong SQL skills for data extraction, profiling, reconciliation, validation, and investigative analysis.
• Hands-on experience with data quality frameworks, DQ rule development, data profiling, and issue remediation.
• Experience performing source-to-target data analysis, reconciliation, mapping validation, and integration analysis.
• Strong understanding of data governance concepts including data ownership, data standards, business rules, reference data, and allowed values.
• Hands-on experience working with Reltio as an MDM platform.
• Experience with CPQ, Product Catalog, Salesforce, Zuora, NetSuite, or CRM systems.
• Experience working with hardware, software, SaaS, or subscription-based product data.
• Experience with product configuration and product/component relationships.
• Experience working with Snowflake.

Nice to have

• Familiarity with automated data quality tools such as Ataccama.

Benefits

• Flexible time off
• Wellness resources
• Company-sponsored team events

About the company

Everpure (NYSE: P) has evolved from storage pioneer to data platform. Its strategic agenda spans companies defining the next era of technology including hyperscalers, AI labs, and the AI hardware supply chain.