The Demand Analyst role at Dearfoams is looking to solve the business problem of supporting the Demand & Supply Planning team through deep data analysis, reporting, and forecasting support to drive informed, strategic decisions and improve demand planning and analytics.
Requirements
- Highly proficiency in Excel (advanced formulas, pivot tables, power queries, etc.) and at least one data visualization/reporting tools such as Tableau, Sigma, Power BI.
- Exposure to and interest in becoming highly efficient in Power Query, SQL, Sigma Computing, General AI (Co-pilot & ChatGPT) and other data automation tools.
- Experience with Microsoft Suite and Artificial Intelligence Tools
- Strong aptitude and interest in quantitative analysis, predictive modeling, and diagnostic analytics.
- Proficiency in SQL
- Experience with data visualization tools such as Tableau, Sigma
- Knowledge of forecasting methodologies
Responsibilities
- Develop, maintain, and enhance reporting and dashboards using Sigma BI, SQL, Excel (Power Query), and Tableau/Sigma for demand planning and analytics.
- Support creation and review of demand forecasts by providing statistical input, trend analysis, and sales performance recaps for Dearfoams.
- Learn and become proficient in RGB’s data availability, structure, and forecasting methodologies.
- Conduct analysis to support root-cause investigation of demand-supply imbalances, forecast inaccuracies, and missed service level targets.
- Serve as the subject matter expert in analytical tools supporting demand planners, including BI reports and forecasting tools.
- Regularly review and report forecast accuracy to identify improvement areas and drive continuous enhancements in forecast reliability.
- Perform detailed analysis of customer behavior, product performance, POS trends, adoption patterns, seasonality, and returns.
Other
- Bachelor’s degree in Supply Chain, Statistics, Economics, Mathematics, Business Analytics, or related field.
- 0–4 years of relevant experience in demand analytics, forecasting, or business intelligence.
- Ability to be in Pickerington Corporate Office 1 day per week in person.
- Strong communication skills—both written and verbal—with the ability to explain complex data clearly.
- Ability to prioritize and manage multiple projects in a fast-paced, collaborative environment.
