Business Analytics Manager

Kforce Inc; Leawood (KS); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Medical/Dental/Vision Insurance

HSA/FSA

401(k) Plan

Job summary

Kforce has a client in Overland Park, KS seeking a highly analytical Business Analytics Manager - Retail to translate data into actionable insights, driving category growth and pricing optimization. You will build automated dashboards, monitor KPIs, and partner with Marketing and Customer Development to convert data into retail strategy.

We value strong SQL/Python or R skills and experience with Tableau or Power BI, Sigma, or DOMO, enabling advanced analytics and data storytelling for leadership

Qualifications

• Bachelor's degree in analytics, business, data science, marketing, or related field.
• 6+ years of data analytics experience with focus on retail, digital analytics, or clean room environments.
• Experience building automated dashboards and scalable reporting solutions.
• Expertise in data visualization and storytelling using Tableau, Power BI, Sigma, or DOMO.
• Proficiency in SQL, Python, or R for data extraction and manipulation.

Responsibilities

• Translate complex retail data into high-impact insights for strategy.
• Drive category growth, pricing optimization and performance.
• Lead standardized dashboards with real-time KPI visibility (conversion, AOV, ROAS).
• Collaborate with Marketing and Customer Development to shape retail strategies.
• Provide agile ad hoc analyses to resolve key online performance challenges.

Skills

Retail analytics

Data visualization

Dashboard development

SQL

Python

Power BI

Tableau

Education

Bachelor's degree in Analytics/Business/Data Science

Tools

Tableau

Power BI

Sigma

DOMO

Job description

Responsibilities

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

Requirements

• 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

Preferred

• 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

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.