Inventory Supervisor and Data Analyst Job at Scott Fetzer Consumer Brands in Har

The Inventory Supervisor & Data Analyst will play a dual role, combining leadership in inventory management with data analysis to optimize warehouse operations. This individual will be responsible for overseeing inventory accuracy, conducting data-driven insights, and enhancing operational efficiency. By using warehouse management systems (WMS) and advanced data analytics, the role will ensure accurate inventory control and support strategic decision-making through detailed data analysis and reporting.

Key Responsibilities:

• Inventory Management & Supervision:
  • Oversee daily inventory control operations, ensuring inventory accuracy and adherence to warehouse management system (WMS) protocols.
  • Manage inventory replenishment based on production schedules, sales forecasts, and customer demand, ensuring timely stock availability.
  • Develop, implement, and manage cycle counting programs, performing physical inventory checks, reconciliations, and maintaining accuracy.
  • Maintain and update the inventory database to reflect accurate stock levels and ensure proper documentation of all inventory transactions.

1. Responsible for cycle counting program including personnel, tracking, reporting, and conducting physical inventories as needed.

1. Communicate and collaborate with Finance team to ensure adherence to company cycle counting and inventory adjustment policies.

• Collaborate with warehouse, shipping, and operations teams to optimize space utilization, product flow, and resource allocation.
• Identify and implement inventory control process improvements and cost-saving initiatives.
• Ensure compliance with company policies related to inventory adjustments and reporting.
• Data Analytics & Reporting:
  • Gather, analyze, and interpret data from WMS, databases, and other sources to uncover patterns, trends, and opportunities for improvement.
  • Design and automate reporting processes to provide real-time visibility into key warehouse and inventory metrics such as stock levels, turnover rates, and accuracy.
  • Perform in-depth statistical analysis to identify inefficiencies and develop actionable insights for inventory management and warehouse operations.
  • Build and maintain dashboards to visualize warehouse performance metrics, providing data-driven recommendations to improve efficiency and reduce costs.
  • Develop predictive models to forecast inventory needs and ensure alignment with production and demand planning.
  • Use data to optimize order picking, replenishment strategies, and overall workflow within the warehouse.
• Warehouse Process Optimization:
  • Collaborate with cross-functional teams to streamline inventory processes and enhance warehouse efficiency using data insights.
  • Utilize advanced analytics tools such as SQL, Python, R, or similar software to automate data collection and reporting.
  • Continuously monitor warehouse KPIs and recommend process changes to improve performance in areas such as space utilization, order accuracy, and stock rotation.
  • Conduct root cause analysis for inventory discrepancies and implement corrective actions to prevent future issues.
• Collaboration & Communication:
  • Work closely with warehouse and shipping supervisors to ensure coordination of inventory activities and alignment with operational goals.
  • Partner with management teams to define key data requirements for analysis projects that support business objectives.
  • Present findings and recommendations based on data analysis to both technical and non-technical stakeholders, driving actionable insights for continuous improvement

• Required Qualifications
  • Strong leadership, communication, and organizational skills
  • Demonstrates excellent critical thinking, decision making, and problem-solving skills to include identification, analysis, and resolution.
  • 2+ years of data analytics experience
  • Knowledge of inventory control principles and practices
  • Proficient in inventory management software, Excel, Word and Outlook
  • Proficient in advanced analytics tools such as SQL, Python, and R
  • Ability to motivate team efforts to accomplish goals.
  • Ability to work as an individual contributor as well as in a team environment.
  • Knowledge of warehousing and distribution concepts.

Supervisory Responsibilities:

• Directly responsible for employees

Education and/or Experience Requirements:

• Bachelor's Degree in Data Analytics, Operations, Management or related field; or equivalent experience
• Supervisory experience
• Willing to work additional hours, including occasional Saturdays

Language Skills:

• Ability to read, write and speak English fluently.
• Ability to respond to common inquiries or complaints from customers; regulatory agencies or members of the business community
• Ability to effectively present information to top management, groups and customers

Reasoning Ability:

• Must be able to problem solve daily operational and/or long term planning issues.
• Ability to define problems, collect data, establish facts and draw valid conclusions.