Note: The job is a remote job and is open 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. The company is seeking a Senior Product & Operational Master Data Analyst to lead SKU and product catalog cleanup, operational data governance, crosswalk creation, data-quality 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, Salesforce, Snowflake, and future enterprise platforms.
Responsibilities
- Lead 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, name, description, 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 active orders, contracts, customer sites, deployed equipment, pending quotes, work orders, dispatch 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 active customer commitments
- Partner with Operations, Branch / Yard teams, Dispatch, Pricing, Sales, Billing, Finance, and Technology to resolve 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-quality profiling, reconciliation, and exception reports using Snowflake, SQL, Excel, and BI tools — monitoring duplicates, missing attributes, invalid combinations, inactive items in use, and records requiring business decisions
- Support ERP migration and downstream system integrations — validating source-to-target mappings, transformation rules, and data completeness
- Develop a repeatable intake process for new SKU creation, SKU changes, pricing-related item changes, and product retirement
- Maintain a decision log and data issue backlog — assigning data owners and following issues through resolution
- Define practical governance metrics — SKU duplication rate, completeness rate, data-quality exception aging, turnaround time for item requests, and percentage of active 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 Excel skills — pivots, lookup logic, Power Query, and data validation
- • Working SQL skills — querying, profiling, and analyzing large operational datasets
- • Experience with ERP platforms — Microsoft Dynamics NAV / Navision, Business Central, Acumatica, NetSuite, SAP, Oracle, or similar
- • Ability to interpret operational data in the context of active orders, contracts, inventory, equipment deployment, returns, billing, and pricing
- • Strong stakeholder management skills — comfortable working with branch operations, warehouse / yard personnel, dispatch, sales, finance, and technical teams
- • Strong written communication — standards documentation, data dictionaries, mapping specifications, issue logs, and executive-ready status reporting
- • Experience developing SOPs and business workflows for data maintenance and data-quality controls
- • Experience in equipment rental, portable sanitation, construction services, fencing, waste, logistics, multi-branch distribution, or field-service operations
- • Experience with Salesforce, Salesforce CPQ, Field Service, Snowflake, data warehouses, MDM tools, PIM tools, or data-quality platforms
- • Experience with product hierarchies, equipment classes, service codes, location masters, pricing structures, and unit-of-measure conversion
- • Familiarity with data governance concepts — data owner, data steward, business glossary, data lineage, validation rules, approval workflows, and auditability
- • Experience in a multi-location operating environment where inventory, dispatch, and service delivery depend on accurate item and location data
- • Experience supporting ERP / CRM migration or system transformation programs
Benefits
- Contract-to-Hire — initial 6–12 month transformation focus
- Remote / Hybrid / On-Site work arrangement
- Long-Term Path: Convert to Product Data Stewardship / Enterprise Data Governance Lead after migration stabilizes
- Start: Immediate
Company Overview
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