Decision Science Analyst

Role Overview

Decision Science Analyst at Kobie — a client-facing, hands-on analytics role focused on turning loyalty/customer data into actionable insights that improve sales/profit through customer loyalty programs.

Responsibilities

• Deliver data-driven customer insights that align with client objectives in partnership with Strategy and Client Services.
• Build and maintain audience lists to support the CRM team and enable targeted campaigns.
• Produce recommendations by extracting insights from complex client data (grounded in strategy, success criteria, and program objectives).
• Create data visualizations and narratives for stakeholders across all levels.
• Collaborate with Data Engineering and Business Intelligence teams to design/develop tools, models, and data sources.
• Develop learning agendas, test plans, and solutions to strengthen 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 ability to communicate insights and influence senior stakeholders.
• Experience with data exploration and visualization tools such as Tableau, Power BI, or Sigma.
• Demonstrated success with customer segmentation methods, including:
  • RFM
  • Cluster analysis
  • Regression modeling
• Strong project management skills; able to juggle multiple projects.
• Bachelor’s degree in Statistics, Marketing, Economics, or Computer Science.
• Python/SQL programming experience (preferred).

Nice to Haves

• Master’s degree in Statistics, Economics, Applied Mathematics, or MBA.
• Proficiency in fundamental marketing and loyalty principles.