About the role

Role overview

Kobie is hiring a Decision Science Analyst to help clients turn loyalty and customer data into actionable insights. This is a client-facing, hands-on role partnering with Strategy and Client Services to shape strategic direction for clients’ loyalty initiatives.

Responsibilities

Deliver data-driven customer insights that contribute to increased sales/profit through client loyalty programs
Build and maintain audience lists to support CRM teams with targeted campaigns and engagement goals
Produce recommendations by extracting insights from complex data sources based on client strategy and success criteria
Create data visualizations and narratives that make analyses consumable for stakeholders of all levels
Collaborate with Data Engineering and Business Intelligence teams to design and develop tools, models, and data sources
Develop learning agendas, test plans, and solutions to make attribution more reliable 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 customer analytics and/or marketing/CRM experience
Strong ability to communicate insights and influence senior stakeholders (“great storyteller with data”)
Familiarity with data exploration and visualization tools such as Tableau, Power BI, or Sigma
Experience with customer segmentation and analytics methods including RFM, cluster analysis, and regression modeling
Solid project management skills for handling multiple concurrent projects

Preferred qualifications

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

About Kobie

Kobie is a loyalty solutions company that helps brands build lasting emotional connections with consumers through customer loyalty programs. It uses a strategy-led technology approach to uncover insights from loyalty data, providing end-to-end analytics and dashboards for internal and external stakeholders.