Sales & Operational Planning Analyst
$70,000–$80,000 year
RemoteUnited States
Job Summary
Run the monthly statistical forecast engine against NetSuite actuals, validate outputs, and investigate anomalies before the S&OP review meeting. Coordinate template inputs from commercial and sales teams, prepare layered forecasts at the channel and category level, and capture post-meeting consensus adjustments with reason codes. Monitor weighted MAPE, analyze forecast accuracy by SKU and channel, and investigate outliers to distinguish model misses from data gaps. Maintain the CONFIG section of the engine, update the sku_lead_times.csv file, and support the sell-through integration roadmap by mapping ASINs to SKUs. Work alongside the S&OP Manager to facilitate collaboration with cross-functional teams, ensure data quality, and help identify where the forecast can get sharper.
Required Qualifications
- 1–3 years of experience in demand planning, supply chain analytics, or a closely related commercial or operations analytics role
- Analytical curiosity and comfort working with data
- Ability to manage a repeatable monthly process with multiple stakeholders and deadlines
- Clear written and verbal communication skills
- Genuine interest in understanding how forecasting models work and how to make them better
- Willingness and ability to learn new tools quickly
- Up to 15% travel for in-person collaboration with cross-functional teams and commercial partners
- Genuine passion for the JustFoodForDogs mission and helping pets live longer, healthier lives
Desired Qualifications
- Proficiency in Excel
- Working familiarity with Python or SQL
- Organized, reliable, and proactive when things go off-track
- Experience explaining a complex forecast or data issue in plain language to a non-technical audience
- Experience with Microsoft Fabric, Power BI, or similar BI/planning platforms
- NetSuite ERP familiarity
- Broader ERP experience in a manufacturing or consumer goods environment
- Bachelor's degree in Supply Chain, Statistics, Business Analytics, or a related field
- Exposure to statistical or machine learning forecasting methods
- Familiarity with multi-channel distribution: direct-to-consumer digital, wholesale retail accounts, and company-operated stores
- Understanding of sell-in vs. sell-through demand signals
- Experience in fresh, frozen, or perishable food with shelf-life and inventory constraints
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