Senior MDM Product Data Analyst

Role Overview

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.

What You Will Do

The ideal candidate will analyze, manage, and reconcile product master data across multiple source systems, MDM platforms, and downstream applications, leveraging AI/GenAI tools to accelerate data profiling, analysis, data quality rule development, documentation, issue investigation, and root-cause analysis.

Why It Might Be a Fit

The ideal candidate will have strong product data and MDM expertise, advanced SQL skills, practical experience using AI/GenAI tools, and excellent written and verbal communication skills, with the ability to present data findings, risks, and recommendations to both technical and business stakeholders.

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
• 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

Benefits

• Flexible time off
• Wellness resources
• Company-sponsored team events

Tagged as: Data Analysis