Warehouse Statistician

In January 2023, JA Solar, a global solar cell, and module manufacturing leader, announced its first manufacturing leader, announced its first manufacturing facility in the U.S. (United States), in Phoenix Arizona. The new facility will produce high performance photovoltaic (PV) products and is expected to be operational by Q22, 2024, creating over 700 new jobs. The facility represents a $60 million investment and will utilize highly automated assembly lines to produce high-efficiency solar panels for commercial and residential applications, as well as utility scale power plants.

Job Summary:

As a Warehouse Statistician you will analyze large datasets stored within a company's warehouse management system (WMS) tpo identify inventory levels, order details, and pick times, shipping dates, and other operational metrics.

Data cleaning and validation:

Identifying and correcting data inconsistencies or errs within the warehouse data

Statistical analysis:

Applying statistical techniques like regression analysis, time series analysis, and hypothesis testing to identify patterns, trends and correlations wihtin the warehouse data

Performance metrics calculations:

Developing and monitoring key performance indicators (KPIs) related to warehouse efficiency, such as pick accuracy, fill rate, and delivery time

Reporting and visualization:

Presenting findings through clear and concise reports, dashboards, and data visualizations to warehouse managers and other stakeholders

Predictive modeling:

Utilizing statistical models to forecast future demand, inventory levels, and potential issues to proactively address operational challenges

Process improvement recommendations:

Identifying areas for improvement within warehouse operations based on data analysis, suggesting optimization strategies to enhance efficiency

Qualifications:

Bachelor's degree in data management or similar or equivalent work experience

Knowledge, Skills and Abilities:

Proficiency in statistical methods, including hypothesis testing, regression analysis, and time series analysis

Expertise in using data analysis software like SQL, R, Python, or other relevant tools to manipulate and analyze large datasets

Proven ability to implement process improvement initiatives

Strong knowledge of Key Performance Indicators (KPI s)

Computer literacy

Strong decision making

Positive working attitude

Excellent verbal, written communication skills

Organizational skills and attention to detail

Proven management skills

Strong analytical and problem solving skills,

Working conditions:

Works in manufacturing and warehouse environment

Must be comfortable working in a fast-paced, rapidly changing environment

May be required to work after hours and on weekends or holidays

Physical requirements:

Exerting up to 50 pounds occasionally, and/or up to 20 pounds of force constantly to move objects

Education

• Bachelors or better in Management

Skills

• Problem-Solving
• Detail Oriented

Behaviors

• Team Player: Works well as a member of a group

• Functional Expert: Considered a thought leader on a subject