---
title: 'Senior MDM Product Data Analyst at Everpure'
canonical: 'https://feeny.ai/job/senior-mdm-product-data-analyst-everpure-bengaluru-1e8d642z39sj'
type: 'job'
last_seen: '2026-09-25'
---

# Senior MDM Product Data Analyst at Everpure

- **Company:** Everpure
- **Location:** Bengaluru, India
- **Posted:** 2026-09-25
- **Last confirmed live:** 2026-09-25
- **Apply:** https://job-boards.greenhouse.io/purestorage/jobs/8212868

## 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 BRING

- 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

## #LI-REMOTE,  #LI-ONSITE

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 TA-Ops@purestorage.com 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.

## About Everpure

## Core Business
- **Primary industry**: Enterprise data storage and data management
- **Target customers**: B2B, enterprise, Fortune 500 companies (62% of Fortune 500 are customers)
- **Mission**: “Unleash the power of data – making it secure, accessible, intelligent, and ready to perform in the AI era.”

## Products & Services
- **[Everpure Platform](https://www.everpuredata.com/)**: The core data management platform (formerly Pure Storage Platform) built on Evergreen® architecture. Provides unified storage, data protection, and management across edge, data center, and cloud. Delivers 99.9999% reliability (six 9s) and reduces energy use up to 85% compared to legacy storage.
- **[Enterprise Data Cloud (EDC)](https://www.everpuredata.com/company/newsroom/press-releases/pure-storage-becomes-everpure.html)**: Architecture that virtualizes storage into a single, policy-driven data cloud, enabling automated provisioning, protection, and mobility.
- **[1touch](https://www.everpuredata.com/company/newsroom/press-releases/pure-storage-becomes-everpure.html)** (acquired May 2026): Data intelligence and orchestration layer that discovers, classifies, and contextualizes data across all environments, making it AI-ready at the source.

## Market Standing
- **Valuation/Market Cap**: Not disclosed in provided sources (public company; market cap available via stock exchanges)
- **Key Metric**: Annual revenue – not publicly available; Total funding – not applicable (public); Notable metrics: 14,000+ customers, Net Promoter Score of 84, 5,600+ employees, 99.9999% reliability guarantee
- **Notable Investors/Partners**: Not specifically listed; named a Leader in the 2025 Gartner® Magic Quadrant™ for Enterprise Storage Platforms (highest in Execution and furthest in Vision)
- **Growth Signals**: Rebrand from Pure Storage to Everpure (Feb 2026); acquisition of 1touch (closed May 2026) to extend data intelligence; one of the fastest growing enterprise IT companies in history; 62% of Fortune 500 companies are customers

## Competitive Advantages
- **Evergreen® architecture**: Enables non-disruptive, pay-as-you-grow upgrades without forklift replacements, reducing total cost of ownership and e-waste.
- **Industry-leading reliability**: Six 9s (99.9999%) availability guarantee.
- **High customer satisfaction**: Net Promoter Score of 84, among the highest in the industry for over a decade.
- **Energy efficiency**: Shrinks energy use up to 85% compared to legacy storage, supporting sustainability goals.
- **Data intelligence integration**: 1touch acquisition adds semantic context and AI-readiness at the storage layer, differentiating from traditional storage vendors.

## Strategic Focus
- **AI-ready data management**: Ensuring data is contextualized, governed, and instantly available for AI workloads.
- **Enterprise Data Cloud**: Unifying storage into a single, policy-driven cloud to eliminate silos and manual processes.
- **Data intelligence and orchestration**: Expanding platform capabilities through 1touch to transform raw data into actionable insights.
- **Sustainability**: Designing solutions that reduce power, space, and e-waste as a core focus.

## Why Work Here
- **Culture**: Innovative, dynamic, and supportive environment driven by values of inclusion, innovation, and growth. Recognized as a Great Place to Work and featured in Fortune Best Workplaces in Technology™ for six consecutive years.
- **Remote/Hybrid/Office**: Global offices with flexible work options (“Flexible” noted on careers page); specific policy not detailed.
- **Benefits**: Comprehensive healthcare coverage, well-being support, flexible time off, company-sponsored team events, and family-friendly benefits (recognized as a top workplace for parents in 2023).
- **Engineering culture**: Focus on tackling world’s most daunting data challenges; team members bring expertise, creativity, and excellence. Employee Resource Groups (ERGs) foster inclusion and community.
- **Growth**: Training and development opportunities; fast-growing company with a global presence.

## Sources
1. [everpuredata.com](https://www.everpuredata.com/company.html)
2. [everpuredata.com](https://www.everpuredata.com/)
3. [everpuredata.com](https://www.everpuredata.com/company/newsroom/press-releases/pure-storage-becomes-everpure.html)
4. [everpuredata.com](https://www.everpuredata.com/company/careers.html)
5. [everpuredata.com](https://www.everpuredata.com/company/careers/opportunities.html)

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