Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 16, 2026. Meta scores B on the Alion truth index.
Responsibilities
Develop and maintain statistical demand forecasting models that integrate sell-through data, market trends, promotional calendars, and product lifecycle signals Own the end-to-end demand planning process for assigned product lines, including baseline forecasting, consensus planning, and exception management Analyze historical shipment, inventory, and point-of-sale data to identify demand patterns, forecast variances, and root causes of forecast error Collaborate with supply chain, finance, and product teams to align demand plans with inventory targets, capacity constraints, and financial commitments Build and maintain centralized planning dashboards and reporting tools that enable automated tracking of forecast accuracy, bias, and key demand planning metrics Support monthly and quarterly Sales and Operations Planning processes by delivering demand insights, scenario analyses, and recommendations to planning leadership Translate ambiguous business inputs and market intelligence into structured demand assumptions and quantitative forecast adjustments Identify gaps in planning data infrastructure and partner with data engineering and analytics teams to prioritize and deliver improvements Communicate forecast rationale, risks, and opportunities to cross-functional stakeholders and planning leadership in a clear and structured manner Develop scenario and sensitivity analyses to assess the demand impact of product launches, channel shifts, promotional events, and macroeconomic changes
Qualifications
6+ years of experience in demand planning, supply chain analytics, or business planning with demonstrated ownership of statistical forecasting processes Experience building and maintaining demand forecasting models using quantitative and statistical methods Experience working with large datasets using SQL or similar data querying tools to extract and analyze supply chain or sales data Experience developing planning dashboards and automated reporting tools to support business decision-making Experience communicating complex analytical findings and forecast recommendations to cross-functional teams and planning leadership Familiarity with product lifecycle planning, channel inventory management, or new product introduction forecasting Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience using Python or R for statistical modeling and demand signal analysis Experience with demand planning software or advanced planning systems such as SAP IBP, Kinaxis, or comparable platforms Experience supporting Sales and Operations Planning processes in a consumer electronics or hardware product environment

