Senior Decision Scientist – Demand Planner

Posted 23 hours ago

This is a fully remote position, open to applicants in California, +1 more state.

πŸ“‹ Description

β€’ Create and uphold demand forecasts across various products, markets, customers, and sales channels.

β€’ Evaluate historical demand, Sell-In, Sell-Through, channel inventory, promotional activities, seasonality, and market trends.

β€’ Update forecasts weekly and monthly based on business inputs.

β€’ Support bottom-up forecasting at the SKU, channel, customer, and regional levels.

β€’ Assist in forecasting new products that have limited historical data.

β€’ Document assumptions and modifications related to forecasts.

β€’ Monitor demand planning metrics such as forecast accuracy, forecast bias, Sell-In vs. Forecast, Sell-Through vs. Forecast, Weeks of Supply, and Channel Inventory.

β€’ Investigate discrepancies in forecasts and conduct root-cause analyses.

β€’ Identify demand patterns and emerging trends within large datasets.

β€’ Generate reports and dashboards that highlight demand trends.

β€’ Aid in New Product Introductions, product launches, transitions, and End-of-Life planning.

β€’ Prepare demand data and analyses for monthly Sales and Operations Planning (S&OP).

β€’ Consolidate forecast inputs and recognize changes between forecasts.

β€’ Summarize forecast modifications, assumptions, risks, and opportunities.

β€’ Track follow-up actions stemming from demand review meetings.

β€’ Assist senior planners and planning managers in crafting consensus forecasts.

β€’ Collaborate with Sales, Marketing, Channel Operations, Supply Planning, Finance, and Data & Analytics teams.

β€’ Maintain regular demand planning reports and dashboards.

β€’ Utilize Excel and SQL for analyzing demand, inventory, and sales data.

β€’ Construct or maintain dashboards using Power BI or Tableau.

β€’ Operate within ERP, MRP, and planning platforms.

β€’ Facilitate automation of reporting and forecasting tasks.

β€’ Enhance data quality and planning processes.

β€’ Provide demand insights that support inventory and supply decisions.


⛳️ Requirements

β€’ Minimum of 5 years of experience in demand planning, supply chain planning, inventory planning, business analytics, operations, or a related area.

β€’ Bachelor's degree in Supply Chain, Operations, Business, Engineering, Economics, Analytics, or a comparable discipline.

β€’ Strong quantitative and analytical capabilities.

β€’ Proven experience in analyzing sales, demand, inventory, or operational data.

β€’ High proficiency in Microsoft Excel.

β€’ Understanding of forecasting and fundamental statistical concepts.

β€’ Ability to recognize patterns and articulate differences between forecasted and actual performance.

β€’ Exceptional attention to detail and capability to work with extensive datasets.

β€’ Strong written and verbal communication skills.

β€’ Ability to collaborate effectively with various cross-functional stakeholders.

β€’ Experience in consumer electronics, wearables, hardware, retail, e-commerce, or manufacturing sectors.

β€’ Knowledge of demand planning concepts including Sell-In, Sell-Through, Forecast Accuracy, Forecast Bias, Channel Inventory, Weeks of Supply, New Product Introduction (NPI), End-of-Life (EOL), S&OP, and Collaborative Planning, Forecasting, and Replenishment (CPFR).

β€’ Practical knowledge of SQL.

β€’ Familiarity with Power BI or Tableau.

β€’ Experience with planning or ERP systems such as o9, Oracle, or JD Edwards.

β€’ Experience in supporting products sold through direct-to-consumer and retail/channel models.


🏝️ Benefits

β€’ Eligibility for discretionary bonuses.

β€’ Comprehensive health insurance.

β€’ Dental coverage.

β€’ Vision insurance.

β€’ Life insurance.

β€’ Disability insurance.

β€’ Benefits eligibility starting on the first day of employment.

β€’ 401(k) Plan available after 30 days of employment.

β€’ 11 paid holidays.

β€’ 12 weeks of Parental Leave.

β€’ β€œFree time” Paid Time Off (PTO) policy offering flexibility for sick leave or vacation.

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