Senior MDM Product Data Analyst
Bangalore · 8+ years experience · Remote · Posted Sep 25, 2026
At a glance
- Experience
- 8+ years experience
- Workplace
- Remote
- Location
- Bangalore
About the role
- We are seeking an experienced MDM Product Data Analyst to support the management, quality, governance, and transformation of product master data across enterprise systems.
- The role will work closely with Product, Business, Engineering, Data Governance, and technical teams to analyze complex product data, define and validate data quality rules, support MDM onboarding and migration, and drive resolution of data issues.
- The ideal candidate combines strong product data and MDM expertise with advanced SQL, analytical problem-solving, and practical use of AI/GenAI to improve data analysis and delivery.
Responsibilities
- Analyze, manage, and reconcile product master data across multiple source systems, MDM platforms, and downstream applications.
- Leverage AI/GenAI tools to accelerate data profiling, analysis, data quality rule development, documentation, issue investigation, and root-cause analysis.
- Translate business and product requirements into clear data requirements, attribute definitions, validation rules, and analytical specifications.
- Perform detailed data profiling to identify quality issues, gaps, inconsistencies, anomalies, duplicates, and data integrity risks across product attributes and relationships.
- Define, document, implement, and validate data quality rules covering completeness, accuracy, validity, consistency, uniqueness, and business-rule compliance.
- Develop source-to-target analysis and reconciliation approaches to validate data movement, mappings, transformations, and synchronization across systems.
- Work with Product and Business stakeholders to understand product structures, SKUs, product/component relationships, configurations, classifications, and product lifecycle requirements.
- Analyze and resolve complex product data issues, including incorrect attribute values, missing data, duplicate records, mapping issues, hierarchy discrepancies, and configuration gaps.
- Support MDM data onboarding, enrichment, cleansing, migration, and transformation activities, including data preparation and validation.
- Monitor and report data quality metrics, trends, defects, and remediation progress, providing clear status updates and recommendations to stakeholders.
Requirements
- 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.
- Practical experience using AI/GenAI tools to improve data analysis, DQ rule development, documentation, and root-cause analysis.
- Experience supporting large-scale MDM implementation, migration, or transformation programs.
Benefits
- flexible time off
- wellness resources
- company-sponsored team events
Workplace
- LI-REMOTE
- LI-ONSITE
Skills
- SQL
- Reltio
- CPQ
- Product Catalog
- Salesforce
- Zuora
- NetSuite
- CRM
- Snowflake
- Ataccama
- AI/GenAI
