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Demand Planning Analyst
BaggalliniDemand Planning Analyst for the Supply Chain team, leveraging data analysis for demand forecasting and reporting. Role evolves into planning responsibilities within 2-4 years.
Tech Stack
Tools & technologiesSQLTableau
About the role
Key responsibilities & impact- Support the Demand & Supply Planning team through deep data analysis, reporting, and forecasting support
- 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
- 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
- Provide analytical and operational support to supply planning, serving as support and backup to both demand and supply planning based on business needs
- Regularly review and report forecast accuracy to identify improvement areas and drive continuous enhancements in forecast reliability
- Support forecast roll-ups, summarizing data across levels for reporting and business reviews
- Perform detailed analysis of customer behavior, product performance, POS trends, adoption patterns, seasonality, and returns
- Assist in coordinating planning calendars, data submissions, and pre-season demand planning cycles
- Attend cross-functional meetings such as Buy Meetings, Business Reviews, and Forecast Recaps to present actionable insights
Requirements
What you’ll need- 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
- Strong aptitude and interest in quantitative analysis, predictive modeling, and diagnostic analytics
- 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
- Exceptional attention to detail, intellectual curiosity, and a proactive approach to problem-solving
- 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
- Willingness and enthusiasm to grow into a planning role or evolve within analytics or supply chain operations
Benefits
Comp & perks- Hybrid work arrangement
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data AnalysisStatistical InputTrend AnalysisPredictive ModelingDiagnostic AnalyticsForecast Accuracy ReviewRoot-Cause InvestigationPower QuerySigma ComputingGeneral AI
Soft Skills
Attention to DetailIntellectual CuriosityProactive Problem-SolvingStrong Communication SkillsProject Management