Senior Data Analyst: AI‑Driven Ops & Supply Chain

BIO-TECHNE Corp; Minneapolis (MN); On-site; USD 78,000 - 129,000; Full time

Benefits offered by this job

401k plans

Employee stock purchase plan (ESPP)

Health Savings Account (HSA)

Flexible Spending Account (FSA)

Tuition reimbursement

Job summary

Bio-Techne Corp is seeking a Senior Data Analyst in the Supply Chain & AI space to improve service, cost, and inventory health through data, Lean principles, and AI-enabled automation. You will work across our global network, supporting manufacturing, planning, inventory management, sourcing, and fulfillment while delivering measurable operational outcomes.

The role emphasizes hands-on analytics with agentic workflows, building dashboards and models, and collaborating with cross-functional

Qualifications

• Bachelor's degree in a related field or equivalent experience.
• 5–8 years of data analytics with operations/supply chain focus.
• Advanced proficiency in Power BI and SQL for turning data into analytics.

Responsibilities

• Analyze transactional, demand, and production data to surface inefficiencies and root causes behind order flow and on-time delivery.
• Sharpen master data and planning assumptions; build models to improve inventory health and align stock with demand.
• Collaborate with IT on data governance and ensure analytics are built on secure data paths.
• Build dashboards, models, and tools for decision-making across ERP sites and networks.
• Apply Lean and value stream thinking to automate processes and improve service and cost.

Skills

Power BI

SQL

Python

AI

Data Analytics

Lean

Project Management

Communication

Education

Bachelor's degree in Supply Chain/Operations/Analytics

Tools

Databricks

ERP systems

Salesforce

Smartsheet

Job description

Bio-Techne Corp is seeking a Senior Data Analyst in the Supply Chain & AI space to improve service, cost, and inventory health through data, Lean principles, and AI-enabled automation. You will work across our global network, supporting manufacturing, planning, inventory management, sourcing, and fulfillment while delivering measurable operational outcomes.

The role emphasizes hands-on analytics with agentic workflows, building dashboards and models, and collaborating with cross-functional