{"id":1228450,"url":"https://alion.io/job/everpure-senior-mdm-product-data-analyst","title":"Senior MDM Product Data Analyst (Bangalore, in-person)","company":{"id":3170,"name":"Everpure","domain":"everpuredata.com","url":"https://alion.io/company/everpure","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":86,"open_postings":37,"ghost_share":0,"stale_share":0.568,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":26},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Master Data Management","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-25T12:19:37Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-23T10:44:28Z","board_verified":true,"closed_at":null,"days_open":27,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":27},"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.\nThis 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.\nThis role is in-person in the Bangalore office. No remote work is possible.\nTHE ROLE\nWe are seeking an experienced MDM Product Data Analyst to support the management, quality,\ngovernance, and transformation of product master data across enterprise systems. The role will work\nclosely with Product, Business, Engineering, Data Governance, and technical teams to analyze complex\nproduct data, define and validate data quality rules, support MDM onboarding and migration, and drive\nresolution of data issues. The ideal candidate combines strong product data and MDM expertise with\nadvanced SQL, analytical problem-solving, and practical use of AI/GenAI to improve data analysis and\ndelivery.\nWHAT YOU'LL DO\nAnalyze, manage, and reconcile product master data across multiple source systems, MDM platforms,\nand downstream applications.\nLeverage AI/GenAI tools to accelerate data profiling, analysis, data quality rule development,\ndocumentation, issue investigation, and root-cause analysis.\nTranslate business and product requirements into clear data requirements, attribute definitions,\nvalidation rules, and analytical specifications.\nPerform detailed data profiling to identify quality issues, gaps, inconsistencies, anomalies, duplicates,\nand data integrity risks across product attributes and relationships.\nDefine, document, implement, and validate data quality rules covering completeness, accuracy,\nvalidity, consistency, uniqueness, and business-rule compliance.\nDevelop source-to-target analysis and reconciliation approaches to validate data movement,\nmappings, transformations, and synchronization across systems.\nWork with Product and Business stakeholders to understand product structures, SKUs,\nproduct/component relationships, configurations, classifications, and product lifecycle requirements.\nAnalyze and resolve complex product data issues, including incorrect attribute values, missing data,\nduplicate records, mapping issues, hierarchy discrepancies, and configuration gaps.\nSupport MDM data onboarding, enrichment, cleansing, migration, and transformation activities,\nincluding data preparation and validation.\nDevelop data validation logic and partner with technical teams on implementation, testing, and\nautomation of DQ rules.\nParticipate in UAT, data certification, defect triage, root-cause analysis, and issue resolution; ensure\ndefects are clearly documented and tracked through closure.\nCreate data correction files and coordinate with technical teams to implement and validate required\nfixes.\nSupport development and maintenance of product data dictionaries, attribute definitions, business\nrules, reference data, and data governance documentation.\nPartner with Data Governance teams to define data ownership, standards, allowed values, reference\ndata, and validation requirements.\nMonitor and report data quality metrics, trends, defects, and remediation progress, providing clear\nstatus updates and recommendations to stakeholders.\nIdentify recurring data quality issues and recommend process, data model, integration, or system\nimprovements to prevent recurrence.\nContribute to large-scale MDM implementation, migration, and transformation programs and support\ncontinuous improvement of product data processes.\nRequired Skills & Experience\n8+ years of relevant experience in Data Analytics, Master Data Management, Product Data\nManagement, and/or Data Quality.\nStrong hands-on experience working with Product Master Data and Product Catalog data.\nStrong understanding of SKU structures, product hierarchies, attributes, product/component\nrelationships, configurations, lifecycle, and classification.\nStrong SQL skills for data extraction, profiling, reconciliation, validation, and investigative analysis.\nHands-on experience with data quality frameworks, DQ rule development, data profiling, and issue\nremediation.\nExperience performing source-to-target data analysis, reconciliation, mapping validation, and\nintegration analysis.\nStrong understanding of data governance concepts including data ownership, data standards,\nbusiness rules, reference data, and allowed values.\nHands-on experience working with Reltio as an MDM platform.\nExperience with CPQ, Product Catalog, Salesforce, Zuora, NetSuite, or CRM systems.\nExperience working with hardware, software, SaaS, or subscription-based product data.\nExperience with product configuration and product/component relationships.\nExperience working with Snowflake.\nFamiliarity with automated data quality tools such as Ataccama.\nPractical experience using AI/GenAI tools to improve data analysis, DQ rule development,\ndocumentation, and root-cause analysis.\nExperience supporting UAT, data certification, defect triage, and cross-functional issue resolution.\nExperience supporting large-scale MDM implementation, migration, or transformation programs.\nStrong analytical, structured problem-solving, and attention-to-detail skills.\nExcellent written and verbal communication skills, with the ability to present data findings, risks, and\nrecommendations to both technical and business stakeholders.\nAbility to work effectively across Product, Engineering, Data Governance, Business, and technical\nteams.\nExperience analyzing complex product catalogs with high volumes of SKUs and attribute\ncombinations.\nExperience developing reusable data validation and reconciliation approaches for recurring data\nquality checks.\nExperience identifying opportunities to automate manual data analysis, validation, and remediation\nactivities using AI/GenAI or scripting.\nUnderstanding of enterprise product data integrations and downstream consumption patterns.\nExperience working in Agile delivery environments and participating in requirements grooming,\nbacklog refinement, and data-focused delivery planning.\nKey Competencies\nProduct Data & MDM expertise\nData Quality & Governance\nSQL & Data Analysis\nSource-to-Target Reconciliation\nProduct Structures, SKUs & Configurations\nAI/GenAI-enabled Data Analysis\nProblem Solving & Root-Cause Analysis\nStakeholder Management & Communication\nWHAT YOU BRING\n8+ years of relevant experience in Data Analytics, Master Data Management, Product Data\nManagement, and/or Data Quality.\nStrong hands-on experience working with Product Master Data and Product Catalog data.\nStrong understanding of SKU structures, product hierarchies, attributes, product/component\nrelationships, configurations, lifecycle, and classification.\nStrong SQL skills for data extraction, profiling, reconciliation, validation, and investigative analysis.\nHands-on experience with data quality frameworks, DQ rule development, data profiling, and issue\nremediation.\nExperience performing source-to-target data analysis, reconciliation, mapping validation, and\nintegration analysis.\nStrong understanding of data governance concepts including data ownership, data standards,\nbusiness rules, reference data, and allowed values.\nHands-on experience working with Reltio as an MDM platform.\nExperience with CPQ, Product Catalog, Salesforce, Zuora, NetSuite, or CRM systems.\nExperience working with hardware, software, SaaS, or subscription-based product data.\nExperience with product configuration and product/component relationships.\nExperience working with Snowflake.\nFamiliarity with automated data quality tools such as Ataccama.\nPractical experience using AI/GenAI tools to improve data analysis, DQ rule development,\ndocumentation, and root-cause analysis.\nExperience supporting UAT, data certification, defect triage, and cross-functional issue resolution.\nExperience supporting large-scale MDM implementation, migration, or transformation programs.\nStrong analytical, structured problem-solving, and attention-to-detail skills.\nExcellent written and verbal communication skills, with the ability to present data findings, risks, and\nrecommendations to both technical and business stakeholders.\nAbility to work effectively across Product, Engineering, Data Governance, Business, and technical\nteams.\nExperience analyzing complex product catalogs with high volumes of SKUs and attribute\ncombinations.\nExperience developing reusable data validation and reconciliation approaches for recurring data\nquality checks.\nExperience identifying opportunities to automate manual data analysis, validation, and remediation\nactivities using AI/GenAI or scripting.\nUnderstanding of enterprise product data integrations and downstream consumption patterns.\nExperience working in Agile delivery environments and participating in requirements grooming,\nbacklog refinement, and data-focused delivery planning.\nKey Competencies\nProduct Data & MDM expertise\nData Quality & Governance\nSQL & Data Analysis\nSource-to-Target Reconciliation\nProduct Structures, SKUs & Configurations\nAI/GenAI-enabled Data Analysis\nProblem Solving & Root-Cause Analysis\nStakeholder Management & Communication\n#LI-REMOTE, #LI-ONSITE\nWHAT YOU CAN EXPECT FROM US:\nInnovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.\nGrowth: 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®!\nTeam: We build each other up and set aside ego for the greater good.\nAnd 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.\nACCOMMODATIONS AND ACCESSIBILITY:\nCandidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at  if you’re invited to an interview.\nOUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:\nWe’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.\nEverpure 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.\nJoin us and bring your best.\nBring your bold.\nPure and simple.","description_format":"text","description_chars":11385,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible time off"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Enterprise Storage Systems"],"lifecycle":[{"event":"open","at":"2026-09-25T14:05:02Z"}],"visa":[],"liveness":{"score":55,"band":"ok","label":"Likely open","p_open":1,"p_active":0.617,"p_room":0.9,"age_days":27,"expected_fill_days":49,"reasons":["conf:0","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/everpure-senior-mdm-product-data-analyst","json_url":"https://alion.io/job/everpure-senior-mdm-product-data-analyst.json","meta":{"generated_at":"2026-10-23T11:51:13Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":18021,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3170},"rest":"https://alion.io/mcp/rest/get_company?id=3170"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Feverpure-senior-mdm-product-data-analyst"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Feverpure-senior-mdm-product-data-analyst"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Feverpure-senior-mdm-product-data-analyst"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/everpure-senior-mdm-product-data-analyst\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Feverpure-senior-mdm-product-data-analyst"}]}