Supply Chain Data Analyst

Kauffman Engineering, LLC., with locations throughout Mexico and the USA, has an immediate remote opportunity for a Supply Chain Data Analyst.

Company Summary

Kauffman Engineering, LLC, a privately held, American company is well established since its beginning in 1973. We have grown from a small wiring harness operation into a multi-million dollar company with a highly respected role as a worldwide supplier of electrical harnesses, lead wires, jumper wires, twisted pair wires, cable assemblies, molded plugs, thermoform plastics, and populated circuit boards.

Job Summary:

The Supply Chain Data Analyst is responsible for extracting, cleaning, and analyzing operational data from ERP systems and Power BI to support reporting, dashboard development, and informed decision-making across the supply chain team. This role requires strong technical skills in Power Query and Excel, along with the ability to work efficiently with large datasets. While prior supply chain experience is helpful, it is not required; success in this role depends primarily on strong data analysis and reporting capabilities.

Key Responsibilities:

• Extract, clean, and analyze data from ERP systems, Excel, and Power BI
• Build and maintain reports, dashboards, and visualizations to support sourcing and supply chain decisions
• Validate data accuracy and resolve discrepancies across multiple sources
• Track key metrics related to purchasing, supplier performance, and operational trends
• Provide insights and recommendations to improve efficiency, visibility, and decision-making
• Collaborate with sourcing, supply chain, operations, and finance teams on reporting needs
• Identify opportunities to streamline reporting and improve data processes

Required Qualifications: Experience/ knowledge, Skills, and Abilities:

• 1 - 3 years of experience working with data analysis, reporting, or operations support.
• Strong Excel skills, including working with large datasets, formulas, and pivot tables
• Experience with Power Query, Power BI, and ERP systems
• Ability to extract, clean, validate, and analyze data accurately
• Experience creating reports and dashboards to support business decisions
• Strong analytical, problem-solving, and organizational skills
• Ability to communicate data insights clearly to cross-functional teams
• Experience supporting supply chain, sourcing, or procurement functions (preferred)
• Familiarity with SQL or database query writing (preferred)

Educational qualifications:

• Bachelor's degree in business Analytics, Data Science, Information Systems, or a related field

Work Environment:

• Independent remote work from home
• Travel within US and Mexico (< 25%)
• Ideal region is CST or EST time zones
• Located within 60 miles of a regional airport

Company Benefits

Our company benefits provide full-time employees with a wide variety of benefits to meet the needs of our diverse workforce. We offer the following benefits: health, dental, and vision insurance, prescription drug benefits, flexible spending accounts, voluntary life insurance, AD&D insurance and a healthy incentive credit. We also provide company paid life insurance and short-term and long-term disability insurance. Paid time off benefits include PTO and 9 paid holidays.

Equal Opportunity Employer

Kauffman is an Equal Opportunity Employer committed to a diverse workforce, providing equal employment and advancement opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

• This employer participates in the E-Verify program.

Job Type: Full-time

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Life insurance
• Vision insurance

Application Question(s):

• What are your salary expectations?
• Can you describe your experience working with large datasets in Excel, Power Query, Power BI, or ERP systems?How would your technical skills help improve sourcing efficiency or supplier visibility?
• Describe a situation where you had to translate complex data into a simple recommendation for a non-technical audience.
• How do you work with cross-functional teams such as operations, finance, and planning?
• How would your technical skills help improve sourcing efficiency or supplier visibility?

Work Location: Remote