Supply Chain Data Analyst - PowerBI & SQL Expert

Ferguson Enterprises, Inc.; Waterloo (IA); On-site; USD 46,000 - 69,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid time off

Employee discounts

Job summary

Ferguson Enterprises, LLC seeks a Supply Chain Analyst for its Waterloo Distribution Center to collect and analyze data that drives performance. You’ll generate reports, KPI insights, and training materials to support operations.

You’ll build PowerBI dashboards, craft ad-hoc SQL queries, and collaborate to improve data capture and efficiency across teams. A related bachelor’s degree and 3–5 years’ experience are preferred.

Qualifications

• Bachelor’s degree in Business, Business Analytics, Supply Chain Management, or related field preferred.
• 3–5 years’ experience in supply chain, logistics or distribution with financials/metrics.
• Strong analytical skills; data mining, analysis, and reporting experience.
• Proficient in SQL, Access, and MS Excel; familiar with PowerBI.
• Excellent verbal and written communication; leadership and organization.

Responsibilities

• Provide daily support in operations management with reports, KPIs, and training materials.
• Produce weekly metrics for Supply Chain Leadership Team and ad‑hoc analyses.
• Build ad‑hoc SQL queries to retrieve data and support required reports.
• Collaborate across departments to improve data capture and visualization.
• Develop dashboards in PowerBI to visualize data for management.

Skills

Analytical thinking

Communication skills

Leadership

Problem solving

Education

Bachelor’s degree in Business or related field

Business Analytics or Supply Chain focus

Tools

SQL

Access

MS Excel

PowerBI

Job description

Ferguson Enterprises, LLC seeks a Supply Chain Analyst for its Waterloo Distribution Center to collect and analyze data that drives performance. You’ll generate reports, KPI insights, and training materials to support operations.

You’ll build PowerBI dashboards, craft ad-hoc SQL queries, and collaborate to improve data capture and efficiency across teams. A related bachelor’s degree and 3–5 years’ experience are preferred.