Advanced Data Analyst – Inventory & Planning Analytics

About the role

The Advanced Data Analyst – Inventory & Planning Analytics serves as the functional owner of inventory and planning analytics used to support operational decision-making across the organization. This role designs, maintains, and governs analytics frameworks that inform inventory health, service-level risk, and planning tradeoffs.

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 to ensure consistency, accuracy, and decision readiness.
• Serve as the 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 directly with Supply Chain, Planning, and Operations leaders to support inventory and service-level decisions.
• Communicate insights clearly to technical and non-technical stakeholders, enabling informed decision-making.

Requirements

• 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 within 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.

Qualifications

• Bachelor’s degree in a quantitative or operations-related field (e.g., Supply Chain, Engineering, Operations, Analytics, Computer Science, or related).
• Master’s degree in a quantitative or operations-focused field preferred.
• Experience with inventory planning concepts (e.g., MOH, safety stock, lead times, service levels) preferred.
• Experience supporting planning or operations organizations through analytics preferred.
• Experience automating analytics workflows (e.g., Python, advanced SQL, Power BI) preferred.

Skills

• Strong analytical and problem-solving skills.
• Proficiency in data analysis tools and techniques.
• Experience with inventory management and supply chain analytics.
• Excellent communication and stakeholder engagement skills.

Benefits

• Competitive insurance benefits starting on day one: medical, dental, vision, life, short-term disability, long-term disability, pet, and legal and ID shield.
• Investment in employees' financial futures through 401k plans, an employee stock purchase plan (ESPP), Health Saving Account (HSA), Flexible Spending Account (FSA), and Dependent Care FSA.
• Empowerment of employees' career development through mentorship, promotional opportunities, training and development, tuition reimbursement, internship programs, and more.
• Employee resource groups, volunteer paid time off, employee events, and charity drives to build a culture of caring and belonging.
• Accrued leave policy with paid holidays, paid time off, and paid parental leave.
• Culture of empowerment and innovation, fostering new ideas and encouraging employee participation.

Pay

$62,300 - $102,350

Schedule

N/A