Senior Decision Scientist – Demand Planner

Fractal Analytics•New York, NY

2d•$130,000 - $150,000•Remote

About The Position

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Requirements

5+ years of experience in demand planning, supply chain planning, inventory planning, business analytics, operations, or a related field.
Bachelor's degree in Supply Chain, Operations, Business, Engineering, Economics, Analytics, or a related discipline.
Strong quantitative and analytical skills.
Experience analyzing sales, demand, inventory, or operational data.
Strong proficiency in Microsoft Excel.
Familiarity with forecasting and basic statistical concepts.
Ability to identify patterns and explain differences between forecast and actual performance.
Strong attention to detail and ability to work with large datasets.
Good written and verbal communication skills.
Ability to work effectively with multiple cross-functional stakeholders.

Nice To Haves

Experience in consumer electronics, wearables, hardware, retail, e-commerce, or manufacturing.
Understanding of demand planning concepts such as: Sell-In, Sell-Through, Forecast Accuracy, Forecast Bias, Channel Inventory, Weeks of Supply, NPI, EOL, S&OP, CPFR.
Working knowledge of SQL.
Experience with Power BI or Tableau.
Exposure to planning or ERP systems such as o9, Oracle, or JD Edwards.
Experience supporting products sold through both direct-to-consumer and retail/channel models.

Responsibilities

Develop and maintain demand forecasts across products, markets, customers, and sales channels.
Analyze historical demand, Sell-In, Sell-Through, channel inventory, promotions, seasonality, and market trends.
Maintain weekly and monthly forecast updates based on the latest business inputs.
Support bottoms-up forecasting at SKU, channel, customer, and regional levels.
Assist with forecasting for new products where limited historical data is available.
Document forecast assumptions and changes to improve planning transparency.
Track key demand planning metrics including: Forecast Accuracy, Forecast Bias, Sell-In vs. Forecast, Sell-Through vs. Forecast, Weeks of Supply, Channel Inventory.
Investigate significant forecast misses and perform root-cause analysis.
Identify patterns and emerging demand trends within large datasets.
Highlight unusual changes in sales, channel inventory, or market performance.
Develop reports and dashboards to make demand trends easier for stakeholders to understand.
Support demand planning for New Product Introductions (NPI) and product launches.
Develop initial launch forecasts using comparable products, market assumptions, and commercial inputs.
Monitor early Sell-Through performance and recommend forecast adjustments.
Support transitions between existing and next-generation products.
Monitor slowing demand and inventory exposure as products approach End-of-Life (EOL).
Help ensure forecasts appropriately reflect different stages of the product lifecycle.
Prepare demand data and analyses for the monthly Sales & Operations Planning (S&OP) process.
Consolidate forecast inputs from Sales, Marketing, Channel, and other stakeholders.
Identify material changes between the previous forecast and latest demand plan.
Prepare summaries explaining key forecast changes, assumptions, risks, and opportunities.
Track follow-up actions from demand review meetings.
Support senior planners and planning managers in developing consensus forecasts.
Partner closely with Sales to understand customer and regional demand.
Partner closely with Marketing to incorporate promotions, campaigns, launches, and other demand drivers.
Partner closely with Channel Operations to understand Sell-In, Sell-Through, and channel inventory.
Partner closely with Supply Planning to communicate changes in demand and potential supply implications.
Partner closely with Finance to reconcile operational forecasts with business plans.
Partner closely with Data & Analytics teams to improve forecasting data, reporting, and analytical tools.
Maintain recurring demand planning reports and dashboards.
Use Excel and SQL to analyze demand, inventory, and sales data.
Build or maintain dashboards using tools such as Power BI or Tableau.
Work within ERP, MRP, and planning platforms to maintain forecasts and planning parameters.
Help automate repetitive reporting and forecasting activities.
Identify opportunities to improve data quality and planning processes.