Retail Analytics Manager: Growth, Pricing & Insights

Kforce Inc

Leawood (KS)

On-site

USD 110,000 - 140,000

Full time

5 days ago
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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

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

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