Planning Data Quality AnalystNew$149K
The opportunity
We are looking for a highly organized Planning Data Quality Analyst to join our team. In this role, you will triage incoming catalog requests, new product adds and edits to existing items and serve as the central point of coordination for rev control across Engineering,…
What you'll do
Intake Triage & SLAs: Own the Product Catalog Intake Form in Foundry ("Almanac") as the front door for all new product adds and edits to existing items. Prioritize and route requests, and own intake SLAs so nothing ages silently in the queue.
Rev Control Coordination: Whenever Engineering releases a new rev, ensure Configuration Management, the Product Manager, Planners, and Production are all aware of and aligned on timing, so the right items are sellable at the right time.
Process Documentation: Maintain clear, living documentation of the intake and rev control coordination processes so none of it lives as tribal knowledge.
Process Improvement: Look for recurring bottlenecks or breakdowns in how requests move through intake and rev control, and propose fixes rather than just executing the queue as handed to you.
Cross-Team Relationship Building: Build working relationships with Engineering, Configuration Management, Product Management, Planning, and Production — teams that don't report to you and don't naturally coordinate with each other — so alignment becomes routine rather than something you have to force each time.
What they're looking for
- Highly organized and can be trusted to keep a queue moving without things: falling through the cracks, even as volume spikes.
- Proactive communicator with the ability to partner with people across: Engineering, Configuration Management, Product, Planning, and Production, none of whom report to you and get them aligned on timing and next steps.
- Eye for process improvement. When there is recurring snag, you don't just: route around it — you flag it and suggest a better way.
- High ownership, low ego. You treat the queue and the coordination as yours to: protect, even when the fire isn't one you started.
- Experience with product catalogs, item master data, or configuration/change: management in a hardware or manufacturing environment.
- Experience with Foundry, Oracle, Salesforce, Mercury, and other ERP tools.: Experience with scripting languages (Python or R) for data analysis and automation.
- Experience with cloud data platforms (Snowflake, Databricks, BigQuery, or AWS Redshift).
- Understanding of AI/ML-assisted data quality monitoring tools.