Senior MDM Product Data Analyst

About this job

Everpure is seeking a Senior MDM Product Data Analyst to join its team in Bangalore, India. As a data platform provider that closed fiscal 2026 with $3.7 billion in revenue and strong growth into FY27, Everpure supports prominent companies across hyperscalers, AI labs, and the broader AI ecosystem. In this role, you will be responsible for supporting the management, quality, governance, and transformation of product master data across various enterprise systems. A normal working day involves collaborating closely with Product, Business, Engineering, Data Governance, and technical teams to analyze complex product data, define and validate data quality rules, and drive the resolution of data issues. You will reconcile product master data across multiple source systems, handle MDM onboarding and migration activities, translate business requirements into clear data rules, and leverage AI/GenAI tools to accelerate data profiling, analysis, documentation, and root-cause investigations.

Responsibilities

• Analyze, manage, and reconcile product master data across multiple source systems, MDM platforms, and downstream applications.
• Utilize AI/GenAI tools to accelerate data profiling, analysis, data quality rule creation, documentation, and root-cause analysis.
• Translate business and product requirements into clear data specifications, attribute definitions, and validation rules.
• Perform detailed data profiling to detect quality issues, anomalies, gaps, duplicates, and data integrity risks.
• Define, implement, and validate comprehensive data quality rules covering completeness, accuracy, and business-rule compliance.
• Investigate and resolve complex product data issues, mapping discrepancies, missing data, and configuration gaps.
• Support MDM data onboarding, cleansing, migration, transformation activities, and participate in UAT and defect triage.

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.
• Solid understanding of SKU structures, product hierarchies, attributes, product/component relationships, and configurations.
• 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.
• Practical experience using AI/GenAI tools to improve data analysis, rule development, and root-cause analysis.
• Hands-on experience working with Reltio as an MDM platform along with experience using Snowflake.

Good to have

• Experience with CPQ, Product Catalog, Salesforce, Zuora, NetSuite, or CRM systems.
• Experience working with hardware, software, SaaS, or subscription-based product data.
• Familiarity with automated data quality tools such as Ataccama.
• Experience working in Agile delivery environments and participating in requirements grooming.

Who should apply

This role suits experienced data professionals with a strong background in Master Data Management and product data analytics who want to contribute to large-scale data transformation programs at a growing technology platform company. Candidates must possess deep expertise in SQL, data quality frameworks, and Reltio, alongside practical exposure to AI/GenAI tools for data analysis. Freshers should not apply as the position explicitly requires 8+ years of relevant experience.

Frequently asked questions