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 What you need to be succesful 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, Power. BI , 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