Inventory Data Analyst Jobs

SUMMARY:
The Inventory Data Analyst ensures all locations are properly managing inventory in order
to maximize profits and customer service. This position consults company representatives
on proper business practices in inventory management and inventory operations including
prevention, identification, and disposition of excess inventory. Furthermore, the Inventory
Data Analyst is a change agent for promoting new inventory disciplines and culture. In
addition, this position will work with cross functional teams to develop new programs to
increase operational efficiencies based on studies of past, present, and future data
trends.
JOB DUTIES

• Enforces Motion's inventory policies and procedures in daily communication with field

leadership.

• Ensures full compliance of audit policies of Obsolescence Program and Physical
• Understands data governance and control distribution of company inventory data points.

Inventory / DC Mock Inventory.

• Finds new insights and trends which helps identify and solve complicated supply chain

problems.

• Creates automatic dashboards using current or future tools.
• Collaborates with all areas of the supply chain to identify and understand inventory

opportunities.

• Works with the IT Department to enhance current and future inventory systems.
• Performs other duties as assigned.
• Creates and delivers critical inventory trainings.
• Supports excess inventory initiatives.
• Delivers comprehensive reports in a presentation or written.
• Participants in the annual inventory business plan.
• Builds simulation models which forecast outcomes of changes to policies or procedures.

EDUCATION & EXPERIENCE
Typically requires a bachelor's degree in business, statistics, analytics, or equivalent field
work experience. Requires experience managing projects. Background in quantitative
thinking and statistical data analysis.
KNOWLEDGE, SKILLS, ABILITIES

• Strong analytical problem solving skills.
• Powerful presentation skills with advanced PowerPoint design knowledge.
• Advanced knowledge of Microsoft Access, Excel and SQL.
• Experience with data BI tools. (Tableau, Power BI, Qlik, etc.)