Decision Science Analyst

Join Kobie, a National Top Workplace and Top Remote Workplace, where the best minds in loyalty come together. As a Decision Science Analyst, you will play a key role in delivering data-driven, actionable customer insights that directly contribute to increased sales/profit through client loyalty programs.

Responsibilities:

• 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 clients' customer loyalty programs
• 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
• 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 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

Requirements:

• 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