Baggallini & Demand Planning Analyst

What You'll Do

The Demand Analyst will support the Demand & Supply Planning team through deep data analysis, reporting, and forecasting support. This role is ideal for an individual who is analytically driven, aspires to develop into a full-time Demand Planner, and is enthusiastic about learning demand systems and forecasting methodologies. Over time, this role may evolve into an operational reporting role, demand forecasting, or a planning role.

It offers a growth path toward becoming a Demand Planner in 2–4 years, though paths toward Supply Planning or continued analytics specialization are also supported.

An ideal candidate will bring a strong analytical foundation, demonstrated experience in data-driven problem solving, and a growth-oriented mindset. They should exhibit a natural curiosity about business operations, with a particular interest in demand planning. As the individual progresses toward a full-time planning role, their analytical expertise will serve as a critical framework for making informed, strategic decisions. This role is well-suited for someone who is eager to apply analytical skills in a business context while developing into a future leader in planning.

• 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.

• 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.
• Excellent written, verbal, and visual communication skills.
• Strong problem-solving mindset with attention to detail.
• Ability to quickly learn new systems and tools
• Experience with Microsoft Suite and Artificial Intelligence Tools
• Alignment with RG Barry’s values of trust, ambition, inclusion, creativity, responsibility, and teamwork.
• Ability to be in Pickerington Corporate Office 1-2 days per week in person.