We are looking to add an Advanced Analytics Analyst to the team at Worthington Enterprises. This individual contributor will help deliver analytics that support commercial decision-making, with a strong emphasis on Consumer Packaged Goods (CPG) and point-of-sale (POS) / retail performance insights. This role contributes to important projects by providing business analytics services that help develop new insights and understanding of business performance using data and statistical methods. The Analyst will translate data into actionable analyses, insights, and recommendations for stakeholders by building a strong understanding of the business model and the data assets available (e.g., POS, shipment, and customer/retailer data). The Analyst is comfortable using data, statistical and quantitative analysis, explanatory and predictive modeling, and decision-support tools to drive business impact, and will respond positively to instruction, coaching, and structured development.

Responsibilities

• Design and build user-friendly reports, dashboards, and other decision-support tools (e.g., Power BI/Tableau) to maintain a high level of stakeholder satisfaction, including recurring CPG sales, POS, and customer performance views.
• Perform statistical analyses (descriptive, diagnostic, exploratory, correlation, regression, forecasting) to answer business questions such as sales drivers, promotion effectiveness, distribution changes, and retailer/channel trends.
• Learn the business and retail landscape to identify novel and impactful applications of Advanced Analytics, including shopper/category insights and store/channel performance.
• Support growth of Advanced Analytics and the advancement of the organization's analytic culture by partnering with stakeholders, documenting repeatable processes, and sharing learnings and best practices.
• Other duties as assigned.

Desired Experience

• Interest in (or exposure to) CPG and retail analytics concepts such as POS, promotions, distribution, pricing, assortment, and channel/retailer performance.
• Ability to follow best practices and quality assurance regarding report design and user experience (clear definitions, consistent metrics, and easy-to-use dashboards).
• Foundational understanding of statistical concepts and methods.
• Ability to manage multiple requests concurrently using a defined and repeatable process, with strong attention to detail and follow-through.
• Strong communication and interpersonal skills, with demonstrated ability to work with cross-functional partners (e.g., Sales, Marketing, Category/Revenue Management, and Supply Chain).
• Ability to clearly and concisely communicate analyses, assumptions, and results to a variety of audiences; comfortable turning data into a story and recommendation.
• Strong aptitude and drive to continually learn functional areas and data sources (including POS and customer/retailer reporting) to help embed analytics into day-to-day decisions.
• Understanding of fundamental analyses and modeling techniques (e.g., time series trends, basic forecasting, driver analysis), with willingness to deepen skills over time.
• Experience (academic, project-based, or professional) with analytics tools such as Excel, SQL, Alteryx, Python, R, IBM SPSS, or SAS.
• Experience with data visualization tools (Power BI, Tableau, or similar); exposure to CPG/retail datasets (e.g., POS, customer shipment, retailer scorecards, syndicated data) is a plus.