Product Data Analyst - Supply Chain Planning Platforms
About The Position
Digital planning products play a central role in how we translate demand signals, operational constraints, and network decisions into executable supply chain plans. Our Supply Chain Capabilities organization develops and scales advanced Demand, Supply, Deployment, Network Optimization, and Transportation Planning tools that power decision-making across the end-to-end supply chain. We are hiring a Product Data Analyst to embed with our product and engineering teams and help ensure these platforms are grounded in high-quality data, robust metrics, and actionable insights. This role sits at the intersection of supply chain domain expertise, analytics, and modern data platforms, supporting both product discovery and delivery at scale. About the Role As a Product Data Analyst supporting supply chain planning products, you will be a core member of empowered, cross-functional teams partnering with Product Managers, Solution Architects, Engineers, and Data Engineers. You will help teams deeply understand how planning data flows from source systems into analytical and optimization engines, how users interact with planning outputs, and how product changes translate into measurable business outcomes. You will own analysis, validation, and measurement across planning products—ensuring insights are timely, accurate, decision-ready, and grounded in real operational behavior. Your work will directly influence roadmap prioritization, solution design, and adoption of planning tools into execution systems.
Requirements
- Bachelor’s degree in analytics, supply chain, industrial engineering, computer science, economics, or related quantitative field (or equivalent practical experience)
- 2-5 years of experience in data analysis, product analytics, or decision support, preferably in supply chain or operations environments
- Strong proficiency in SQL and experience working with large, complex, multi-source datasets
- Hands-on experience with PySpark or distributed data processing frameworks
- Demonstrated experience analyzing supply chain data (demand, supply, inventory, transportation, or network models)
- Ability to connect analytical results to business decisions and product priorities
- Strong collaboration skills in cross-functional, product teams
Nice To Haves
- Advanced degree in Supply Chain, Analytics, Operations Research, or related field
- Experience supporting planning, optimization, or decision intelligence products
- Familiarity with SAP table structures and planning-related data models
- Experience validating and reconciling data across multiple enterprise systems
- Exposure to outcome-based product operating models
- Experience partnering with data engineers, product managers, product designers and supply chain teams
Responsibilities
- Develop deep understanding of demand, supply, inventory, deployment, transportation, and network data and how it is represented across planning products
- Analyze planning results, scenarios, and user workflows to identify gaps, constraints, and improvement opportunities
- Support product discovery by translating complex operational questions into structured analyses and insights
- Partner with Product Managers to evaluate value realization from planning capabilities (e.g., service, inventory, cost, utilization)
- Define and maintain product and outcome-based metrics tied to planning performance, adoption, and decision quality
- Establish KPIs that connect planning outputs to downstream execution and business outcomes
- Support pilots, releases, and enhancements by measuring impact before and after deployment
- Help teams move from solution delivery metrics to decision and outcome-based measurement
- Partner with engineering and data teams to ensure supply chain data is accurate, complete, and fit-for-purpose
- Validate inbound data from enterprise source systems and outbound planning results used by downstream consumers
- Document metric definitions, grain, assumptions, and data lineage across planning domains
- Support root cause analysis for data issues impacting planning results or user trust
- Build reusable analyses, dashboards, and exploratory notebooks that support product teams and stakeholders
- Use SQL and PySpark to analyze large, complex planning datasets across multiple domains
- Create clear narratives and visualizations to explain trade-offs, scenarios, and recommendations
- Contribute to raising analytical and data fluency across product and business partners
Benefits
- A full range of medical, financial, and/or other benefits, dependent on the position, is offered.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
