Decision Science Analyst

Decision Science Analyst

Client-facing, hands-on role partnering with Strategy and Client Services to turn loyalty/customer data into actionable insights that improve sales/profit through customer loyalty programs.

Responsibilities

• Deliver data-driven, actionable customer insights that support client loyalty initiatives and business objectives.
• Build and maintain audience lists to support CRM teams in executing targeted campaigns and meeting engagement goals.
• Produce actionable recommendations from complex data by understanding client strategy, success criteria, and program objectives.
• Create data visualizations and narratives that make analysis understandable for stakeholders at all levels.
• Collaborate with Data Engineering and Business Intelligence teams to design/develop new tools, models, and data sources.
• Create learning agendas, test plans, and solutions to make attribution more reliable and improve KPIs such as incremental ROI and LTV.
• Manage workflow, scope, and prioritization of client requests and Kobie investments.

Requirements

• 2-4+ years of relevant customer analytics and/or marketing/CRM experience.
• Strong data storytelling skills with the ability to influence senior stakeholders.
• Experience exploring data and building visualizations using tools like Tableau, Power BI, or Sigma.
• Demonstrated success with customer segmentation and modeling, including:
  • RFM
  • Cluster analysis
  • Regression modeling
• Strong project management skills; ability to handle multiple projects simultaneously.
• Bachelor’s degree in Statistics, Marketing, Economics, or Computer Science.

Nice to Haves

• Python and/or SQL experience.
• Master’s in Statistics, Economics, Applied Mathematics, or an MBA.
• Proficiency in fundamental marketing and loyalty principles.

Location / Work Style

• Listed location: Dallas, TX
• Remote-friendly environment (“work remotely / from anywhere” policy mentioned).