Decision Science Analyst

Role Overview

Decision Science Analyst at Kobie (client-facing, hands-on analytics role) helping shape clients’ loyalty strategy through data-driven customer insights. You’ll work with Strategy and Client Services teams and collaborate with Data Engineering and Business Intelligence to build dashboards, models, and actionable recommendations.

Responsibilities

• Deliver data-driven, actionable customer insights that contribute to increased client sales/profit through loyalty programs
• Build and maintain audience lists to support CRM teams in targeted campaigns and engagement goals
• Produce actionable recommendations by extracting key insights from complex customer/loyalty data aligned to client strategy and success criteria
• Create data visualizations and narratives that make analysis understandable to stakeholders at all levels
• Collaborate with Data Engineering and Business Intelligence to design/develop new tools, models, and data sources
• Develop learning agendas and test plans to improve attribution and maximize KPIs such as incremental ROI and LTV
• Manage workflow, scope, and prioritization of client requests and Kobie investments

Requirements

• 2–4+ years of relevant experience in customer analytics and/or marketing/CRM
• Strong data storytelling skills and ability to influence senior stakeholders with insights and recommendations
• Familiarity with data exploration/visualization tools such as Tableau, Power BI, or Sigma
• Demonstrated ability with customer segmentation (e.g., RFM, cluster analysis) and regression modeling for targeted marketing
• Project management skills to handle multiple concurrent client requests/projects

Preferred Qualifications

• Bachelor’s degree in Statistics, Marketing, Economics, or Computer Science
• Python/SQL programming experience
• Master’s in Statistics, Economics, Applied Mathematics, or MBA
• Proficiency in fundamental marketing and loyalty principles