Job Description
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.
Specific 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.
- 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 seasonal support to supply planning during peak time periods. This role will serve as support and backup to demand and supply planners based on the ebbs and flows of the business.
- 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.
Qualifications
- 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.
Job Tags
Full time, Seasonal work, Work at office, 2 days per week, 1 day per week,