Demand and Revenue Forecast Planner

Skylight
11d$150 - $165

About The Position

In this role you’ll help build, own, and improve the forecast engine that turns performance signals (traffic, impressions, conversion rates, in-stock levels, store counts, sell-through) and consumer signals (macroeconomic trends and our own customer behavior) into actionable demand and revenue plans. You’ll live at the intersection of commercial, finance, and supply chain — translating marketing and eCommerce metrics into channel-level forecasts and aligning those forecasts with inventory and operations readiness across DTC, Amazon and wholesale.

Requirements

  • 5-8 years of experience in demand planning, revenue forecasting, analytics or similar for physical products in an omnichannel company.
  • Strong understanding of demand planning inputs (trends, seasonality, promotions, marketing spend, channel-specific assumptions)
  • Strong experience blending digital performance metrics (traffic, impressions, conversion), DTC/eCommerce channel analytics (including Amazon), and wholesale/retail pipeline (store count, sell-through, in-stock/out-of-stock) into forecast models.
  • Experience with retail data resources: Alloy, Partners Online (POL), Circana, CPFR and Retail Link.
  • Excellent technical skills: advanced Excel or Google Sheets, scenario modelling, ability to build and maintain forecast tools.
  • A track record of partnering cross-functionally (Commercial, Marketing, Finance, Operations) and translating forecasts into business-impact actions.
  • Excellent communication skills: ability to tell the story behind the numbers, present to leadership, and influence decision-making.
  • Bachelor’s degree in Operations, Supply Chain, Finance, Economics, Analytics or similar.
  • Entrepreneurial mindset: comfortable in a fast-moving environment, able to deal with ambiguity, take ownership, and continuously improve.

Nice To Haves

  • Prior experience working with a sales function is a plus
  • Prior Retail Planning experience, or experience working with a major US Retailer preferred
  • Prior experience with CPFR and JBP processes strongly preferred

Responsibilities

  • Partner with Marketing, eCommerce, Commercial, Finance, and Supply Chain teams to align assumptions (product launches, promotional activity, channel shifts) and translate those into forecast inputs.
  • Develop and maintain the bottom-up forecast model for all channels (DTC, Amazon, Wholesale).
  • Take market and operational indicators and translate them into SKU-level demand and revenue projections.
  • Wholesale channels: Analyze weekly sales and inventory data to highlight risks, opportunities, and make recommendations for adjustments. This includes tracking and ingesting store counts, in-stock / out-of-stock rates, sell-through rates.
  • eCommerce (Amazon and DTC): Analyze site visits, impressions, conversion rates, ROAS, etc to forecast sales volume and marketing spend
  • Develop and execute assortment and promotional effectiveness based on run rate
  • Support the monthly & quarterly forecast cadence: prepare and present forecast vs. actual analyses, identify risks and upside opportunities, document assumptions and scenarios.
  • Work hand in hand with Operations Planning and Supply Chain to ensure forecasts translate into inventory, procurement and replenishment plans.
  • Continuously improve forecasting processes, tools, and metrics: bring data, automation, visualization, scenario planning and best practices into the model so we get smarter and faster.
  • Be a trusted business partner: take your forecast insights, highlight where things are deviating, help steer decisions on marketing spend, inventory investment, channel shifts and product launches.

Benefits

  • Competitive Salary + Equity Package
  • 401K matching
  • Wellness, learning, and home-office budgets
  • Health, Dental & Vision Medical Plans
  • Tremendous autonomy to set the direction of your work
  • Unlimited PTO
  • Company holidays on the first Friday of every month (Excluding November, December, and January)
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