What are the responsibilities and job description for the Data Analyst position at Puck Enterprises?
Classification: Non-Exempt
Department: Business Development
Reports to: Director of Business Development
Date: January 2026
Data Analyst
JOB DESCRIPTION
Summary/ Objectives
The Data Analyst – Manufacturing & Supply Chain supports operational and supply chain decision-making by collecting, analyzing, and interpreting data related to production, inventory, purchasing, logistics, and supplier performance. This role transforms complex operational and supply chain data into actionable insights that improve efficiency, reduce cost, mitigate risk, and support continuous improvement initiatives across the organization.
Essential Functions
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Data Collection & Management
- Collect data from ERP, MES, quality systems, and supplier portals
- Clean, validate, and standardize datasets related to production, inventory, and purchasing
- Maintain data models and master data integrity (items, BOMs, routings, suppliers)
Manufacturing Analytics
- Analyze production metrics including throughput, cycle time, scrap, yield, downtime, and on-time delivery
- Support capacity planning, labor utilization analysis, and production scheduling decisions
- Develop dashboards and reports for shop floor and leadership teams
Supply Chain Analytics
- Analyze inventory levels, turns, aging, excess and obsolete (E&O) material
- Monitor supplier performance including lead time, on-time delivery, quality, and cost trends
- Support demand planning, forecasting accuracy, and material availability analysis
Reporting & Decision Support
- Create KPI dashboards and scorecards across operations and supply chain functions
- Provide ad hoc analysis to support sourcing, pricing, and logistics decisions
- Translate data into insights for cross-functional teams (Production, Purchasing, Quality, Finance)
Process Improvement & Automation
- Automate reporting and data workflows to reduce manual effort
- Improve visibility of supply chain and operational metrics
- Document data definitions, reporting standards, and analytics best practices
Competencies
- Technical Capacity.
- Problem Solving.
- Communication Proficiency.
- Teamwork.
Supervisory Responsibility
This position has not supervisory responsibilities.
Work Environment
This job operates in a professional office environment. This role routinely uses standard office equipment. The position requires working in all areas within the facility, including the manufacturing area. While in the manufacturing area, the team member is exposed to fumes or airborne particles. The noise level in the manufacturing environment can be loud.
Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; climb stairs; talk or hear. The employee must occasionally lift or move office products and supplies, up to 20 pounds.
Position Type & Expected Hours of Work
This is a full-time position. Days and hours of work are Monday through Friday, 8:00 a.m. to 5 p.m. This position may occasionally require long hours and weekend work.
Travel
Some travel will be required to the various PUCK locations, including out-of-the area and overnight travel.
Required Education & Experience
- Bachelor’s degree in information systems, Business Analytics, Finance, Math, Statistics, or relevant field. Or
- 1 – 3 years of experience in data analysis within manufacturing or supply chain environments
Preferred Education & Experience
- Experience with demand planning, MRP logic, and inventory optimization
- Familiarity with ISO 9001, SPC, or supplier quality systems
- Advanced Excel skills (Power Query, Power Pivot, complex formulas)
- Experience with BI tools (Power BI, Tableau, or similar)
- SQL and relational database experience
Equal Employment Opportunities (EEO)
Puck provides equal employment opportunities (EEO) to all team members and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Puck complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Puck expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Puck’s team members to perform their job duties may result in discipline up to and including discharge.
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the team member for this job. Duties, responsibilities, and activities may change at any time with or without notice.