Senior Analyst, Supply Chain Planning & Analytics

Four Hands•Austin, TX

About The Position

The Senior Analyst will translate complex planning questions and business strategies into quantitative models, data requirements, analytical logic, and technical solutions. Depending on the nature of the solution, the role may develop these capabilities directly or partner with data engineering, application development, BI, and other IT resources to deliver them. The work will directly influence decisions around demand, inventory investment, purchasing, product lifecycle, service levels, working capital, and supply risk. The analytical tools and models developed in this role will be used by planners and leadership to make faster, more informed decisions and to progressively automate repeatable planning processes. This role also has significant opportunity to shape the future state of planning analytics at Four Hands. As the organization expands its forecasting, inventory optimization, and planning capabilities, the Senior Analyst will help establish the methodologies, data foundations, measurement standards, and analytical architecture that support that evolution.

Requirements

4+ years in supply chain analytics, planning operations or a data-focused role within a supply chain or operations environment
Demonstrated experience building analytical tools — forecasting models, scenario planners, dashboards — not just producing reports
Strong SQL skills; comfort writing complex queries to extract, join and transform data from enterprise systems
Solid understanding of supply chain and inventory concepts — MRP logic, product lifecycle management, demand planning, safety stock, lead times
Ability to work in an ambiguous, fast-moving environment and translate loosely defined business problems into structured analytical solutions
Strong communication skills — comfortable presenting complex findings to supply chain

Responsibilities

Design and build forecasting tools that translate demand signals, product lifecycle data and supply constraints into actionable planning outputs for the supply chain team
Develop scenario planning applications that allow planners to model supply and inventory outcomes across a range of demand, lead time and lifecycle assumptions
Interpret product lifecycle complexity — new introductions, discontinuations, seasonal curves, transitions — and identify where those processes create gaps in current planning coverage
Build analytical frameworks and data models to fill those gaps, surfacing insights that the reengineered MRP process cannot yet produce on its own
Partner with the supply chain planning team to understand how decisions get made today, where the friction is, and what tools would create the most leverage
Support the broader MRP/planning reengineering effort by contributing analytical rigor — requirements documentation, data validation, process mapping and testing support
Develop and continuously improve forecasting methodologies (statistical, ML/AI, ensemble, lifecycle, new-product). Establish comprehensive measurement frameworks including back-testing, plan-vs-actual analysis, error diagnostics, and model performance monitoring
Build inventory and supply simulations modeling movement across the planning horizon. Develop optimization models for replenishment, purchasing, and supply allocation, including position visibility, shortage/excess, etc. Create scenario-planning tools that surface financial and operational implications of alternative assumptions before decisions are made
Develop and maintain the data structures and analytical datasets required for planning processes. Build structured data capabilities for currently manual activities (scrap, balancing, overrides, exceptions). Automate repeatable planning tasks to free planners for higher-judgment work
Translate planning concepts and business rules into technical and analytical requirements. Partner with data engineering, BI, and IT to operationalize models, pipelines, and applications. Support MRP reengineering through requirements definition, data validation, and implementation
Develop financial analytics tied to planning decisions, such as inventory investment, working capital, margin, cost-to-serve, excess/obsolete exposure. Build frameworks for product lifecycle management across introductions, transitions, seasonality, and end-of-life
Shape the future state of planning analytics at Four Hands, establishing methodologies, data foundations, and analytical architecture. Deliver executive-level analysis and recommendations. Continuously identify opportunities where ML, AI, optimization, or automation can improve planning performance
Other duties as assigned, in accordance with training and qualifications
Uphold the Core Values and be a valuable member of the Four Hands Team
Be open and honest
Reach for excellence
Act with responsibility
Value the whole person
Enjoy the journey