Senior MDM Product Data Analyst

Everpure; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Benefits offered by this job

Flexible time off

Wellness resources

Company-sponsored team events

Job summary

Everpure is evolving its data platforms to manage master product data across enterprise systems. You will analyze complex product data, define data quality rules, and support MDM onboarding and migration, collaborating with Product, Business, Engineering and Data Governance teams.

The role requires strong SQL, data profiling, and hands-on MDM experience, with practical use of AI/GenAI to enhance data analysis and delivery across catalogs and configurations.

Qualifications

• 8+ years of experience in Data Analytics, Master Data Management, Product Data Management, or Data Quality.
• Strong hands-on experience with Product Master Data and Product Catalog data.
• Understanding of SKU structures, product hierarchies, attributes, relationships, configurations, lifecycle and classification.
• Proficient in SQL for data extraction, profiling, validation and investigative analysis.
• Experience with data quality frameworks, DQ rule development, data profiling and remediation.
• Experience with source-to-target data analysis, reconciliation, mapping validation, and integration analysis.
• Experience with MDM platforms (e.g., Reltio) and with CRM/ERP systems (Salesforce, Zuora, NetSuite).
• Familiarity with AI/GenAI tools to enhance data analysis, DQ rule development, documentation and root-cause analysis.
• Strong written and verbal communication, and ability to work across Product, Engineering, Data Governance and Business teams.

Responsibilities

• Analyze, manage, and reconcile product master data across source systems and MDM platforms.
• Leverage AI/GenAI tools to accelerate data profiling, analysis, and rule development.
• Translate business requirements into data definitions, validation rules, and analytical specs.
• Profile data to identify quality issues, gaps, and data integrity risks across product attributes.
• Define and validate data quality rules covering completeness, accuracy, validity, consistency and uniqueness.
• Develop source-to-target analysis and reconciliation for data movement and transformations.
• Collaborate with Product and Business stakeholders on product structures, SKUs, configurations, and lifecycle.
• Support MDM onboarding, cleansing, migration, transformation, testing and UAT.

Skills

SQL

MDM

Data Analytics

Data Quality

Product Data

Reltio

CPQ

Salesforce

Zuora

NetSuite

AI/GenAI

Data Governance

Agile

Snowflake

Ataccama

Tools

Reltio

Snowflake

Ataccama

CRM Systems

Job description

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.

This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

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.

What You'll Do

• 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.

• Develop data validation logic and partner with technical teams on implementation, testing, and
  
  

automation of DQ rules.

• Participate in UAT, data certification, defect triage, root-cause analysis, and issue resolution; ensure
  
  

defects are clearly documented and tracked through closure.

• Create data correction files and coordinate with technical teams to implement and validate required
  
  

fixes.

• Support development and maintenance of product data dictionaries, attribute definitions, business
  
  

rules, reference data, and data governance documentation.

• Partner with Data Governance teams to define data ownership, standards, allowed values, reference
  
  

data, and validation requirements.

• Monitor and report data quality metrics, trends, defects, and remediation progress, providing clear
  
  

status updates and recommendations to stakeholders.

• Identify recurring data quality issues and recommend process, data model, integration, or system
  
  

improvements to prevent recurrence.

• Contribute to large-scale MDM implementation, migration, and transformation programs and support
  
  

continuous improvement of product data processes.

Required Skills & Experience

• 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.
• Familiarity with automated data quality tools such as Ataccama.
• Practical experience using AI/GenAI tools to improve data analysis, DQ rule development,
  
  

documentation, and root-cause analysis.

• Experience supporting UAT, data certification, defect triage, and cross-functional issue resolution.
• Experience supporting large-scale MDM implementation, migration, or transformation programs.
• Strong analytical, structured problem-solving, and attention-to-detail skills.
• Excellent written and verbal communication skills, with the ability to present data findings, risks, and
  
  

recommendations to both technical and business stakeholders.

• Ability to work effectively across Product, Engineering, Data Governance, Business, and technical
  
  

teams.

• Experience analyzing complex product catalogs with high volumes of SKUs and attribute
  
  

combinations.

• Experience developing reusable data validation and reconciliation approaches for recurring data
  
  

quality checks.

• Experience identifying opportunities to automate manual data analysis, validation, and remediation
  
  

activities using AI/GenAI or scripting.

• Understanding of enterprise product data integrations and downstream consumption patterns.
• Experience working in Agile delivery environments and participating in requirements grooming,
  
  

backlog refinement, and data-focused delivery planning.

Key Competencies

• Product Data & MDM expertise
• Data Quality & Governance
• SQL & Data Analysis
• Source-to-Target Reconciliation
• Product Structures, SKUs & Configurations
• AI/GenAI-enabled Data Analysis
• Problem Solving & Root-Cause Analysis
• Stakeholder Management & Communication
  
  

,

What You Can Expect From Us

• Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
• Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
• Team: We build each other up and set aside ego for the greater good.
  
  

And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out http://benefits.everpuredata.com/ for more information.

Accommodations And Accessibility

Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at [e-mail] if you’re invited to an interview.

Our Commitment To a Strong And Inclusive Team

We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership.

Everpure is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire.

Join us and bring your best.

Bring your bold.

Pure and simple.