Business Analytics Manager

Kforce has a client that is seeking a Business Analytics Manager in Overland Park, KS. Summary: We are seeking a highly analytical and detail-oriented Business Analytics Manager - Retail to support strategic decision-making by translating and analyzing data into actionable business insights. This role is responsible for driving meaningful outputs that drive category growth, pricing optimization, and overall business performance. Key Responsibilities: Spearhead the translation of complex retail datasets into high-impact business insights, strategically focused on:

• Accelerating category growth and optimizing overall performance
• Expanding market share and deepening consumer penetration
• Leverage Revenue Growth Management (RGM)
• Orchestrating 7P implementation and tracking, to include pricing, distribution, and promotional ROI
• Optimizing the digital path to purchase through traffic, conversion, and basket-level analytics
• Synthesize disparate data streams-including clean rooms, syndicated data, and retailer platforms-to uncover emerging trends that drive retail growth and profitability
• Architect and maintain standardized dashboards that visualize key performance indicators (KPI's), providing real-time visibility into conversion rate, average order value, share of search, and digital shelf performance
• Cultivate strong partnerships with cross-functional teams like Marketing and Customer Development to transform data insights into retail strategies that maximize sales, share, and ROI
• Lead the standard for data storytelling, utilizing advanced visualization techniques to influence leadership-level decision-making
• Serve as a subject matter expert, delivering agile ad hoc analysis to resolve critical business challenges and capitalize on online performance opportunities
• Bachelor's degree in Analytics, Business, Data Science, Marketing, or related field
• 6+ years of experience in data analytics, with a strong focus on retail, digital analytics, or clean room environments OR related experience
• Experience building automated dashboards and scalable reporting solutions
• Expertise in data visualization and storytelling using tools like Tableau, Power BI, Sigma, or DOMO or any similar visualization tools
• Proficiency in SQL, Python, or R for data extraction and manipulation

• Experience working with clean room environments or retail media data platforms
• Extensive experience in the CPG or retail industry, with a focus on digital commerce performance drivers
• Advanced analytical and strategic capabilities, including predictive modeling and AI enablement for Business Intelligence
• Strong understanding of retail KPIs (conversion, traffic, AOV, ROAS, etc.)
• Strong understanding of digital commerce performance drivers, including assortment, content, pricing, and media
• Strong analytical thinking with the ability to translate complex data into business-driving insights
• Demonstrated ability to manage multiple projects and influence cross-functional stakeholders
• Proven ability to analyze retail category data, growth trends, and pricing dynamics