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Support the Director Inventory Controls with adding value to the Finance Department and the company as they drive excellence in the monthly inventory reconciliation process; and participation in other related projects and initiatives both recurring and ad hoc in nature. The Inventory Controls Analyst will accomplish their mission by understanding, adhering to, and enforcing inventory reconciliation policies, processes, controls, and procedures utilizing existing and new inventory analysis tools. Furthermore, the Analyst will accomplish their mission by coordinating their activities with key members of NAPA Finance and Supply Chain involved in related inventory reconciliation activities, and other IT and Data/BI analysts.
Job Responsibility:
Create inventory reconciliation events as needed to meet control requirements and established business practices
Execute the review and reconciliation of the physical inventory records and inventory ledger on a monthly schedule, and additionally as needed
Compile inventory reconciliation results and investigate any material variance between the ledger and physical inventory
Routinely communicate reconciliation results to key NAPA Finance and Supply Chain partners
Requirements:
Bachelor’s degree in business analytics with a concentration in Finance preferred
Minimum 1 year of experience with business analysis and reporting
Proficiency using Microsoft PowerBI and Excel Power Query, PowerPivot
Strong verbal skills and written communication skills with demonstrated ability to communicate complex topics to a variety of experience level
Team player
demonstrate success working well with department leaders and peers
Must be able to understand, explain, and solve complex problems
Must be technologically astute at learning new business technologies
Strong detail orientation and organization
Ability to manage time effectively, multi-task, prioritize, and work well under tight timelines
Nice to have:
Working knowledge of JDE preferred
Working knowledge of PeopleSoft Financials preferred
Working knowledge of Microsoft Power Query and data modeling a preferred
Working knowledge of Power BI a plus
Working knowledge of Microsoft Dynamics D365 a plus