Bio-Techne is looking to drive supply chain agility, operational excellence, and cost efficiency through data by developing scalable analytics tools and providing actionable insights that directly influence decision-making.
Requirements
- Advanced proficiency in Power BI, SQL, and Excel, with experience in automation and scripting
- Proven experience with inventory planning, demand forecasting, MRP, ERP systems
- Experience with predictive modeling, regression analysis, and correlation techniques
- Ability to distinguish signal from noise in complex datasets, providing clear insights for leadership
- Proven track record of developing scalable, long-term analytical solutions
- Strong project management skills with the ability to lead and execute initiatives
- Experience working with Salesforce, Smartsheet, or other business intelligence tools is a plus
Responsibilities
- Develop Advanced Analytics Solutions: Build and maintain dashboards and tools using Power BI, SQL, and Excel to deliver end-to-end visibility across supply chain KPIs including inventory turns, forecast accuracy, OTD, and production throughput.
- Supply Chain & Manufacturing Analysis: Analyze complex datasets from ERP/MRP systems, demand plans, and production schedules to uncover inefficiencies, delays, and root causes.
- Inventory Planning & Forecasting: Support demand and supply planning by building models that improve inventory health, predict shortages or overages, and align stock levels with customer demand and production constraints.
- MRP System Integration: Partner with planning and operations teams to ensure data models and recommendations align with MRP logic and master data structures.
- Strategic Insights & Decision Support: Translate data into strategic recommendations for operations and supply chain leaders.
- Automation & Scalability: Design and implement automated pipelines, workflows, and reporting processes that reduce manual work, increase visibility, and enable proactive response to supply/demand variability.
- Stakeholder Engagement: Act as a thought partner to manufacturing, logistics, and finance stakeholders.
Other
- Bachelor’s degree in Supply Chain, Finance, Accounting, Operations, Business Analytics, Industrial Engineering, or related field
- 6–8 years of experience in data analytics with a strong focus on supply chain, operations, or manufacturing
- Strong business acumen and understanding of how supply chain data impacts cost, service, and capacity
- Clear and confident communication skills, including stakeholder-facing presentations
- Ability to work with cross-functional data (e.g., sales, finance, operations) to enable full-picture decision-making
