Advanced Data Analyst – Inventory & Planning Analytics
Bio-Techne
June 26, 2026
Remote friendly (Minneapolis, MN)
United States
Operations
Advanced Data Analyst – Inventory & Planning Analytics
Role Summary
- Functional owner of inventory and planning analytics used to support operational decision-making across the organization.
Key Responsibilities
- Own and evolve analytics frameworks supporting inventory health, service-level performance, and planning decisions (e.g., MOH, safety stock signals, backlog risk, inventory imbalance).
- Define, document, and maintain planning logic, assumptions, and methodologies used by planning teams.
- Analyze inventory behavior across products, sites, and regions to identify service, cost, and risk tradeoffs.
- Act as the functional lead for inventory and planning analytics, establishing standards and methodologies used by planning teams.
- Review and validate planning analytics outputs for consistency, accuracy, and decision readiness.
- Serve as escalation point for inventory and planning analytics questions and interpretation.
- Provide analytical guidance and subject matter expertise to planning and operations stakeholders.
- Reconcile and integrate data across ERP and analytics platforms to ensure data integrity and alignment.
- Translate planning and operational requirements into scalable analytics solutions.
- Automate and standardize recurring analyses to improve efficiency, reliability, and governance.
- Partner with Supply Chain, Planning, and Operations leaders to support inventory and service-level decisions.
- Communicate insights clearly to technical and non-technical stakeholders.
Required Qualifications
- Bachelor’s degree in a quantitative or operations-related field (e.g., Supply Chain, Engineering, Operations, Analytics, Computer Science, or related).
- 3–5 years of experience in a data analyst role, preferably in operations or supply chain.
- Specialized experience in inventory planning, supply chain analytics, or operational decision support.
- Experience working with complex enterprise data and translating operational requirements into analytics frameworks.
- Ability to independently own analytics domains and provide functional leadership without direct supervisory authority.
Preferred Qualifications
- Master’s degree in a quantitative or operations-focused field.
- Experience with inventory planning concepts (e.g., MOH, safety stock, lead times, service levels).
- Experience supporting planning or operations organizations through analytics.
- Experience automating analytics workflows (e.g., Python, advanced SQL, Power BI).
Benefits (as stated)
- Competitive insurance benefits starting on day one (medical, dental, vision, life, short-term disability, long-term disability, pet, legal and ID shield).
- 401k, ESPP, HSA, FSA, Dependent Care FSA.
- Mentorship, training and development, tuition reimbursement, internship programs.
- Employee resource groups, volunteer paid time off, employee events, charity drives.
- Accrued leave policy with paid holidays, paid time off, and paid parental leave.
Role Summary
- Functional owner of inventory and planning analytics used to support operational decision-making across the organization.
Key Responsibilities
- Own and evolve analytics frameworks supporting inventory health, service-level performance, and planning decisions (e.g., MOH, safety stock signals, backlog risk, inventory imbalance).
- Define, document, and maintain planning logic, assumptions, and methodologies used by planning teams.
- Analyze inventory behavior across products, sites, and regions to identify service, cost, and risk tradeoffs.
- Act as the functional lead for inventory and planning analytics, establishing standards and methodologies used by planning teams.
- Review and validate planning analytics outputs for consistency, accuracy, and decision readiness.
- Serve as escalation point for inventory and planning analytics questions and interpretation.
- Provide analytical guidance and subject matter expertise to planning and operations stakeholders.
- Reconcile and integrate data across ERP and analytics platforms to ensure data integrity and alignment.
- Translate planning and operational requirements into scalable analytics solutions.
- Automate and standardize recurring analyses to improve efficiency, reliability, and governance.
- Partner with Supply Chain, Planning, and Operations leaders to support inventory and service-level decisions.
- Communicate insights clearly to technical and non-technical stakeholders.
Required Qualifications
- Bachelor’s degree in a quantitative or operations-related field (e.g., Supply Chain, Engineering, Operations, Analytics, Computer Science, or related).
- 3–5 years of experience in a data analyst role, preferably in operations or supply chain.
- Specialized experience in inventory planning, supply chain analytics, or operational decision support.
- Experience working with complex enterprise data and translating operational requirements into analytics frameworks.
- Ability to independently own analytics domains and provide functional leadership without direct supervisory authority.
Preferred Qualifications
- Master’s degree in a quantitative or operations-focused field.
- Experience with inventory planning concepts (e.g., MOH, safety stock, lead times, service levels).
- Experience supporting planning or operations organizations through analytics.
- Experience automating analytics workflows (e.g., Python, advanced SQL, Power BI).
Benefits (as stated)
- Competitive insurance benefits starting on day one (medical, dental, vision, life, short-term disability, long-term disability, pet, legal and ID shield).
- 401k, ESPP, HSA, FSA, Dependent Care FSA.
- Mentorship, training and development, tuition reimbursement, internship programs.
- Employee resource groups, volunteer paid time off, employee events, charity drives.
- Accrued leave policy with paid holidays, paid time off, and paid parental leave.