Requirements

Three or more years of related experience in customer management, operations, demand planning, outbound supply chain, and/or a relevant analytics role. Forecasting experience using a variety of methods to advise future-state planning. Advanced MS Excel (Power Query). Willingness to travel approximately up to 25%. Team-oriented and strong interpersonal capabilities; ability to build relationships (internal/external) and interact effectively with other departments and levels of business affecting the forecast process. Excellent communication skills, both written and verbal. Excellent analytical skills and ability to multitask. Process-oriented and ability to contribute to continuous improvement. Experience with aggregating and summarizing large amounts of historical data and identifying trends or business opportunities. SQL Expertise. VBA Expertise. Knowledge of data warehousing. Working experience with Python/R. Retail, E-com, or startup experience. Statistical modeling (Linear Regression/K-means). Strong leadership skills and outgoing personality.

Job Description

In this role, you'll have a defined work location that includes work from home and assigned office days (in-office days are Tuesday, Wednesday, and Thursday). Collaborate with internal & external stakeholders to develop and drive continuous improvement in the efficiency and accuracy of the collaborative planning, forecasting and replenishment processes within assigned National Retail partners (Dollar General, Family Dollar, CVS, Kroger, Meijer, Incomm/Blackhawk). In this role, you will drive the “end to end” forecasting and replenishment process; ensuring internal controls are in place to develop and deliver forecasted products through our fulfillment centers and forward logistics to meet retailer designated SLA requirements. Schedule weekly synchronization meetings with Sales, Finance, Supply Chain Management and assigned retail partners to track variance between the company's sales forecast and retail partner's forecast to drive CPFR efficiency. Driving analysis of sales, financial and operational performance data (e.g., modeling, predictive analytics) to identify key insights and opportunities to improve forecast accuracy. Collaborating to build the sales and shipment forecast. Aligning forecast assumptions in support of special events (e.g. new product launches, MOD transitions, marquee events). Managing gaps between customer POs and retail forecasts. Developing and maintaining performance-based store tiering/segmentation, as well as allocation and disposition processes. Creating strategies and tracking KPI performance to drive continuous improvement against JBP objectives (e.g. forecast accuracy, hit rate, days on hand, IS/OSA, OTIF). Designing, maintaining, and automating KPI dashboards by leveraging internal systems retailer portals.