Senior Supply Chain Data & BI Analyst

LeMans Corporation

Janesville (WI)

On-site

USD 85,000 - 120,000

Full time

30 hours ago
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Job summary

LeMans Corporation in Wisconsin seeks a Senior Supply Chain Data & BI Analyst to partner across Procurement, Logistics, Production and Product Portfolio, turning complex data into actionable insights that boost forecast accuracy and supplier performance.

You will design and maintain Power BI dashboards, own KPI reporting, and collaborate with IT on data warehouses and pipelines to drive continuous improvement and executive decision-making.

Qualifications

  • Bachelor's degree in Supply Chain, Business Analytics, Information Systems, Data Analytics, or related field.
  • 4–6 years of experience in supply chain analytics, BI, ERP reporting, data validation, or master data management.
  • Advanced Microsoft Excel skills, including Power Query, automation, and complex formulas.
  • Strong Power BI experience: data modeling, DAX, and dashboard development.
  • Experience with ERP systems, preferably Microsoft Dynamics 365.
  • Strong understanding of supply chain processes, KPIs, forecasting, and performance metrics.
  • Excellent analytical, communication, and problem-solving skills.
  • Experience with data warehousing, process improvement, and automation initiatives preferred.

Responsibilities

  • Design, develop, and maintain Power BI dashboards, scorecards, and automated reporting solutions.
  • Analyze large and complex datasets across Supply Chain, Procurement, Logistics, and Product functions.
  • Own and enhance Supply Chain KPI reporting, including Balanced Scorecards and Supplier Scorecards.
  • Partner with IT to improve data warehouses, reporting structures, and data pipelines.
  • Support demand planning through forecast auditing, data validation, and accuracy analysis.
  • Collaborate with Planning, Sales, Procurement, Distribution, Customer Service, and Finance teams to identify and resolve operational challenges.
  • Perform ERP (D365) data audits and maintain master data quality standards.
  • Conduct root cause analysis to identify process gaps, performance trends, and data discrepancies.
  • Deliver executive-level ad hoc analysis and actionable business insights.
  • Identify and implement automation opportunities using PowerApps, Copilot AI, and other advanced analytics tools.

Skills

Advanced Excel
Power BI
ERP systems (Dynamics 365)
Data analytics
Forecasting & KPIs

Education

Bachelor's degree in Supply Chain or related field

Tools

Microsoft Dynamics 365

Job description

We're looking for a highly analytical and data-driven Senior Supply Chain Data & BI Analyst to serve as the primary business intelligence partner across Procurement, Logistics, Trade Compliance, Production, and Product Portfolio functions. This role is responsible for transforming complex supply chain data into actionable insights that improve forecasting accuracy, supplier performance, delivery reliability, and operational efficiency.

If you're passionate about solving business problems through data, building impactful dashboards, and driving continuous improvement through analytics, we'd love to hear from you.

What You'll Do
  • Design, develop, and maintain Power BI dashboards, scorecards, and automated reporting solutions
  • Analyze large and complex datasets across Supply Chain, Procurement, Logistics, and Product functions
  • Own and enhance Supply Chain KPI reporting, including Balanced Scorecards and Supplier Scorecards
  • Partner with IT to improve data warehouses, reporting structures, and data pipelines
  • Support demand planning through forecast auditing, data validation, and accuracy analysis
  • Collaborate with Planning, Sales, Procurement, Distribution, Customer Service, and Finance teams to identify and resolve operational challenges
  • Perform ERP (D365) data audits and maintain master data quality standards
  • Conduct root cause analysis to identify process gaps, performance trends, and data discrepancies
  • Deliver executive-level ad hoc analysis and actionable business insights
  • Identify and implement automation opportunities using PowerApps, Copilot AI, and other advanced analytics tools
What You Bring
  • Bachelor's degree in Supply Chain, Business Analytics, Information Systems, Data Analytics, or a related field (or equivalent experience)
  • 4–6 years of experience in supply chain analytics, business intelligence, ERP reporting, data validation, or master data management
  • Advanced Microsoft Excel skills, including Power Query, automation, and complex formulas
  • Strong Power BI experience, including data modeling, DAX, and dashboard development
  • Experience working with ERP systems, preferably Microsoft Dynamics 365
  • Strong understanding of supply chain processes, KPIs, forecasting, and operational performance metrics
  • Excellent analytical, communication, and problem-solving skills
  • Experience with data warehousing, process improvement, and automation initiatives preferred
What Success Looks Like

Within your first year, you'll help:

  • Improve forecasting accuracy through advanced analytics
  • Deliver automated supplier scorecards and meaningful performance insights
  • Increase delivery reliability and visibility across the supply chain
  • Reduce manual reporting through automation and streamlined processes
  • Become a trusted advisor to Supply Chain, Production, and Operations leadership
Disclaimers

Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time.

LeMans Corporation is an equal opportunity employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. LeMans will only employ those who are legally authorized to work in the United States for this opening. There are not any current or future visa sponsorships for this opening.

This company participates in E-Verify.

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