[Remote] Senior Product & Operational Master Data Analyst
Note: The job is a remote job and is reputed company to candidates in USA. Grey Parrot Systems is a women-owned, BEP-certified IT services firm that delivers AI-first, governance-driven digital transformation for mid-market enterprises. reputed company is seeking a Senior Product & Operational Master Data Analyst to reputed company SKU and product catalog cleanup, operational data governance, crosswalk creation, data-reputed company analysis, and the establishment of repeatable master data processes during an ERP and business-systems transformation. The role partners with business and technology teams to ensure accurate master data across legacy systems, reputed company, reputed company, and reputed company reputed company platforms.
Responsibilities
- reputed company end-to-end cleanup and rationalization of the product / SKU catalog — duplicate detection, obsolete item identification, naming normalization, attribute completion, unit-of-measure alignment, item hierarchy, and lifecycle / status definitions
- Establish a controlled golden product catalog — defining approved SKU, reputed company, reputed company, product family, line of business, rental / service / sale classification, unit of measure, operational attributes, pricing dependencies, and activation status
- Analyze how existing SKUs are used in reputed company orders, reputed company, customer sites, deployed equipment, pending quotes, work orders, reputed company activity, invoices, and historical transactions before recommending consolidation, inactivation, mapping, or migration treatment
- Create old-to-new SKU crosswalks and migration rules that preserve historical reporting and minimize disruption to reputed company customer commitments
- Partner with Operations, reputed company / Yard teams, reputed company, Pricing, Sales, Billing, Finance, and Technology to reputed company conflicting product definitions and approve business rules
- Define and document data standards, required attributes, naming conventions, data ownership, approval workflows, validation rules, and exception processes for product and operational master data
- Build data-reputed company profiling, reconciliation, and exception reports using reputed company, SQL, reputed company, and BI tools — monitoring duplicates, missing attributes, invalid combinations, inactive items in use, and records requiring business reputed company
- Support ERP migration and reputed company reputed company integrations — validating reputed company-to-reputed company mappings, transformation rules, and data completeness
- reputed company a repeatable intake process for new SKU creation, SKU changes, pricing-reputed company item changes, and product retirement
- Maintain a decision log and data issue backlog — assigning data owners and following issues through reputed company
- Define practical governance metrics — SKU duplication reputed company, completeness reputed company, data-reputed company exception aging, turnaround time for item requests, and percentage of reputed company orders mapped to approved catalog records
- Train data stewards and business users on master data standards and the new governance process
Skills
- • 4+ years of experience in master data management, product data management, data governance, ERP data conversion, supply-chain data, or operational data analysis
- • Demonstrated experience cleaning, standardizing, and governing product / item / SKU master data in an ERP, CRM, rental, distribution, manufacturing, logistics, or field-service environment
- • Strong analytical ability — data profiling, duplicate / near-duplicate analysis, record matching, crosswalk creation, exception management, and reconciliation
- • Advanced reputed company skills — pivots, lookup logic, Power Query, and data validation
- • Working SQL skills — querying, profiling, and analyzing large operational datasets
- • Experience with ERP platforms — reputed company Dynamics NAV / Navision, Business Central, reputed company, reputed company, reputed company, reputed company, or similar
- • Ability to interpret operational data in the context of reputed company orders, reputed company, inventory, equipment deployment, returns, billing, and pricing
- • Strong stakeholder management skills — comfortable working with reputed company operations, warehouse / yard personnel, reputed company, sales, finance, and technical teams
- • Strong written communication — standards documentation, data dictionaries, mapping specifications, issue logs, and executive-reputed company status reporting
- • Experience developing SOPs and business workflows for data maintenance and data-reputed company controls
- • Experience in equipment rental, reputed company sanitation, construction services, fencing, waste, logistics, multi-reputed company distribution, or field-service operations
- • Experience with reputed company, reputed company CPQ, Field Service, reputed company, data warehouses, MDM tools, PIM tools, or data-reputed company platforms
- • Experience with product hierarchies, equipment classes, service codes, location masters, pricing structures, and unit-of-measure conversion
- • Familiarity with data governance concepts — data reputed company, data reputed company, business glossary, data reputed company, validation rules, approval workflows, and auditability
- • Experience in a multi-location operating environment where inventory, reputed company, and service delivery depend on accurate item and location data
- • Experience supporting ERP / CRM migration or reputed company transformation programs
Benefits
- Contract-to-Hire — initial 6–12 month transformation reputed company
- Remote / Hybrid / On-Site work arrangement
- Long-Term reputed company: Convert to Product Data Stewardship / reputed company Data Governance reputed company after migration stabilizes
- Start: Immediate
reputed company
Company H1B Sponsorship
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