We are looking for a Pricing Analytics Manager to support data-driven decisions across product assortment, pricing, and profitability initiatives for a retail organization in Cincinnati, Ohio. This Long-term Contract position will work closely with leaders in product, sales, finance, inventory planning, and operations to turn complex data into practical recommendations that strengthen margins, improve customer value, and guide business strategy. The role also contributes to reporting modernization through Power BI development, automation, and the evaluation of AI-enabled analytical solutions.
Responsibilities:
- Drive analysis that informs assortment planning, category performance reviews, and supplier discussions to improve product mix decisions.
- Build performance scorecards and business metrics that highlight lifecycle trends, expansion opportunities, and items that may be candidates for rationalization.
- Evaluate pricing outcomes and margin performance across customers, categories, suppliers, and sales channels, then translate findings into recommendations.
- Prepare analytical support for bids, contracts, promotions, and other pricing decisions by developing business cases grounded in financial impact.
- Design, enhance, and maintain Power BI dashboards and executive reporting tools that increase visibility into key business performance indicators.
- Streamline recurring reporting activities through automation and improve access to self-service analytics for cross-functional stakeholders.
- Explore practical applications of AI and predictive analytics to strengthen forecasting, decision support, and overall productivity.
- Present insights, trends, and recommendations to leadership teams in a clear and business-focused manner.
- Partner with product management, finance, sales, and operations on strategic projects, business reviews, and profitability initiatives.
- Bachelor’s degree in Business, Analytics, Finance, Economics, Marketing, Supply Chain, Data Science, or a related discipline.
- At least 5 years of experience in analytics, pricing, merchandising support, financial analysis, product-focused analytics, or business intelligence.
- Advanced proficiency in Excel for analysis, modeling, and reporting.
- Strong experience using Power BI to create dashboards, scorecards, and reporting solutions.
- Demonstrated ability to analyze pricing strategy, profitability, and business performance data to support decision-making.
- Proven success presenting analytical findings and recommendations to senior leaders and cross-functional partners.
- Knowledge of supply chain, procurement, or retail-related business environments is highly valued.
- Familiarity with AI-enabled business tools or automation solutions is preferred.