Senior MDM Product Data Analyst
Everpure (formerly Pure Storage)Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, remote option, and metro Bangalore presence create high applicant competition density.
Role requires niche MDM/product-catalog expertise and specific platforms, so background transferability is low-high (high sensitivity).
Explicit 8+ years and mandatory tool expertise (Reltio, Snowflake, Ataccama, SQL) imply high shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Manage and improve product master data quality, governance, and transformation across multiple enterprise systems.
Develop and validate data quality rules, perform source-to-target data reconciliation, and resolve complex product data issues.
Leverage AI/GenAI tools to accelerate data profiling, analysis, documentation, and root-cause analysis while supporting large-scale MDM implementation and migration programs.
Minimum Requirements
8+ years of experience in Data Analytics, Master Data Management, Product Data Management, and/or Data Quality.
Strong hands-on expertise with Product Master Data, SKU structures, product hierarchies, and product/component relationships.
Advanced SQL skills and practical experience with Reltio MDM platform.
Experience with data quality frameworks, source-to-target reconciliation, data governance concepts, and familiarity with AI/GenAI tools for data analysis.
Ideal Candidate Profile
Experienced in handling large-scale, complex product catalogs with high volumes of SKUs and attributes in hardware, software, SaaS, or subscription-based environments.
Proficient in working cross-functionally with Product, Engineering, Data Governance, and Business teams to translate requirements into data specifications and quality rules.
Comfortable in Agile delivery environments and automating manual data validation and remediation processes through AI/GenAI or scripting.