Inventory Data Analyst

Jackson Family Wines•Santa Rosa, CA

10d•$70,000 - $90,000

About The Position

The Inventory Data Analyst supports the Supply Chain department by maintaining data integrity, developing reports, and providing analysis that helps drive operational decisions. This role works with data across inventory, production, purchasing, and logistics processes to identify issues, support continuous improvement efforts, and improve reporting accuracy. The Inventory Data Analyst plays a critical role in ensuring data accuracy, reporting consistency, and visibility across the supply chain.

Requirements

Bachelor’s degree or 4+ years of supply chain, scheduling, or production/operations experience with increasing levels of responsibility
Experience with ERP and planning software applications
Advanced proficiency in MS Office, with expert skills in Excel
Strong attention to detail with a passion for data accuracy and problem solving
Innovative and strategic mindset; adept at problem solving and process enhancement

Nice To Haves

Gain and maintain a working understanding of the wine supply chain, including harvesting, production, bottling, distribution, and sales processes.

Responsibilities

Maintain and update inventory reporting tools, dashboards, and recurring reports that support Supply Chain and Operations teams.
Analyze inventory trends and identify risks, opportunities, and exceptions requiring further investigation.
Develop ad hoc reports, Power BI dashboards, and analyses to support inventory management and operational decision making.
Audit supply chain data across ERP systems, spreadsheets, and reporting platforms to identify and resolve discrepancies.
Monitor key supply chain data quality metrics and escalate unusual trends or integrity concerns.
Perform routine validation checks to ensure inventory, production, purchasing, and shipment data is accurate and complete.
Assist with testing and validation of new reports, dashboards, system enhancements, and process changes.
Document reporting procedures, validation processes, and data definitions to support consistency and knowledge sharing.
Participate in cross functional efforts to resolve data issues and improve data accuracy.
Identify opportunities to improve reporting efficiency, leverage automation and AI tools, and enhance data quality.
Perform additional analysis and project support as needed.
Leverage AI enabled tools to improve reporting efficiency, analyze data, identify trends, and support routine business analysis.