Sr. Sales Planning & Forecast Manager
New
J
JobgetherRetail, E-commerce
Fully remote position within the United States.Full-TimeSenior
Salary$114,000–$156,000 USD
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Job Details
- Experience
- 5–8+ years
- Required Skills
- Artificial IntelligenceBusiness IntelligenceData AnalysisMicrosoft Power BITableauMicrosoft Excel
Requirements
- 5–8+ years of experience in sales forecasting, demand planning, sales analytics, or a related analytical discipline.
- Demonstrated experience owning or leading a sales forecasting process.
- Strong knowledge of forecasting methodologies, reporting, and performance measurement.
- Advanced Excel skills, including pivot tables, formulas, lookups, and data modeling.
- Experience working with large, complex datasets and translating quantitative findings into business recommendations.
- Strong understanding of forecast accuracy, bias, and variance analysis.
- Hands-on experience using AI tools to accelerate analysis, automate workflows, or improve forecasting.
- Experience working with third-party forecasting tools, data platforms, or planning systems.
- Ability to influence and lead cross-functional teams across Sales, Finance, and Supply Chain.
- Experience with Tableau, Power BI, or similar business intelligence platforms preferred.
- Background in consumer electronics, consumer hardware, or CPG industry is a plus.
Responsibilities
- Own and lead the end-to-end sales forecasting process across retail and e-commerce channels, customers, and product categories.
- Develop weekly, monthly, quarterly, and long-range forecasts incorporating sales, POS data, seasonality, and market trends.
- Drive alignment across Sales, Finance, Demand Planning, Supply Chain, and Marketing to establish a clear view of future demand.
- Analyze actual performance against forecasts, identify variance sources, and recommend corrective actions to improve accuracy.
- Build and automate forecasting tools and reports using Excel, BI platforms, and AI-enabled technologies.
- Conduct scenario and sensitivity analyses to support stakeholder decision-making and risk assessment.
- Improve forecasting methodologies and processes to increase efficiency and scalability.
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