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# Decision Science Analyst

- **Company:** Kobie Marketing
- **Location:** Oklahoma City, OK, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Cluster Analysis, Information Engineering, Data Visualization, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Information Technology
- **Published:** October 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3842b7c40bf6b6b7

## About the Role

* 2-4+ years previous relevant customer analytics and/or marketing/CRM experience
 * Great storyteller with data that can influence senior stakeholders with insights and recommendations
 * Familiarity with data exploration and data visualization tools like Tableau, PowerBI , or Sigma
 * Demonstrated success using customer segmentation techniques such as RFM, cluster analysis and regression modeling to drive targeted marketing
 * Solid project management skills and experience in juggling multiple projects at a time
 * Bachelor's Degree in Statistics, Marketing, Economics, or Computer Science
 * Python/SQL programming experience preferred
 * Master's in Statistics, Economics or Applied Mathematics, or MBA, preferred
 * Proficiency in fundamental marketing and loyalty principles, preferred

## Description

* Play a key role as part of a team responsible for delivering data-driven, actionable customer insights that directly contribute to increased sales/profit through our clients' customer loyalty programs, while collaborating closely with Strategy and Client Services teams to align on client objectives and deliver impactful results.
 * Build and maintain audience lists to support the CRM team in executing targeted campaigns and achieving engagement goals.
 * Provide actionable recommendations that drive business objectives by drawing out key insights from in-depth, complex data sources based on a thorough understanding of client's strategy, success criteria, and program objectives
 * Develop data visualizations and narratives that make data and analysis consumable by all levels and expertise of internal and external stakeholders
 * Collaborate with Data Engineering and Business Intelligence teams to design and develop new tools, models, and data sources to support our clients' business objectives and overcome challenges
 * Proactively create learning agendas, test plans, and solutions that make attribution unassailable and maximize key KPIs such as incremental ROI and LTV
 * Manage workflow, scope and prioritization of client requests and Kobie investments