
By joining Bio-Techne, you’ll join a company with a powerful and positive purpose of enabling cutting-edge research in Life Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent disease worldwide.
Pay Range:
$78,100.00 - $128,500.00
As a Senior Data Analyst – Operations & Supply Chain, you will be a key contributorindriving supply chain agility, operational excellence, and cost efficiency through data. This role sits at the intersection of analytics, business operations, and strategy, supporting teams across manufacturing, planning, inventory management, and fulfillment.
You will develop scalable analytics tools andprovideactionable insights that directly influence decision-making, with a focus on areas such as inventory optimization, demand forecasting, MRP alignment, and capacity planning.You will work cross-functionally with business leaders, stakeholders, and technical teams to build scalable analytics solutions thatoptimizeour supply chain and operational processes
Key Responsibilities:
Develop Advanced Analytics Solutions:Build and maintaindashboards 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. Drive continuous improvement in areas such as order flow, raw material availability, safety stock, and build plans.
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. Help shape BOM, lead time, and lot size assumptions to improve planning accuracy.
Strategic Insights & Decision Support:Translate data into strategic recommendations for operations andsupply chain leaders. Focus on balancing service levels, working capital, and operational cost through better planning and scenario modeling.
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 tomanufacturing,logistics, and finance stakeholders. Communicate findings clearly and tailor insights to operational, technical, and executive audiences.
Mentorship & Collaboration:Provide guidance to junior analysts and support a culture of data fluency across the supply chain team.
Project Leadership:Lead and manage high-impact analytics initiatives, ensuringtimelydelivery and alignment with organizational goals
Required Qualifications:
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
Advancedproficiencyin 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
Proventrack recordof developing scalable, long-term analytical solutions
Strong project management skillswith the ability to lead and execute initiatives
Strong business acumenand understanding of how supply chain data impacts cost, service, and capacity
Strong understanding of financial and operational metrics and how they influence business performance
Clear and confident communication skills, including stakeholder-facing presentations
Preferred Qualifications:
Experience working with Salesforce, Smartsheet, or other business intelligence toolsis a plus
Experience building dashboards and tools that drive operational execution and planning decisions
Experience in a warehouse, manufacturingor production environment
Familiarity with production scheduling, capacity planning, and BOM structures
Statistical or ML modeling experience for forecast or simulation
Knowledge of Lean, Six Sigma, or process improvement methodologies
Experience working with cross-functional data (e.g., sales, finance, operations) to enable full-picture decision-making
Why Join Bio-Techne:
Bio-Techne is an E-Verify Employer in the United States.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
To protect the interests of all, Bio-Techne will not accept unsolicited resumes from any source other than a candidate application. Any unsolicited resumes sent to Bio-Techne will be considered Bio-Techne property.

Bio-Techne is headquartered in Minneapolis, Minnesota and employs over 3,000 people globally at 34 locations worldwide. As a global developer, manufacturer and supplier of high-quality reagents, analytical instruments and precision diagnostics, Bio-Techne has an extensive catalog of over 500,000 products.
Incorporated in 1981 as R&D Systems, the company changed its name to Bio-Techne in 2014. Our growth has been accelerated through acquisitions, organic investments, diversification of our customer base and expansion into new markets. In fiscal year 2023, Bio-Techne delivered net sales of over $1.1 billion.
Bio-Techne includes the following brands: ACD, Asuragen, ExosomeDx, Lunaphore, Novus Biologicals, ProteinSimple, R&D Systems and Tocris Bioscience.