Kobie is a global loyalty solutions company that helps major brands turn customer data into stronger, more measurable relationships. Its work combines loyalty strategy, strategic services, composable technology, human-guided AI, and the Kobie Alchemy® Loyalty Cloud platform to design, deliver, and evaluate customer loyalty experiences. Kobie serves organizations across retail, travel and hospitality, financial services, entertainment, quick-service restaurants, and telecommunications, with expertise spanning consulting, hospitality, and logistics.
Decision Science Analyst
Analyze customer loyalty data for Kobie’s enterprise clients, creating dashboards, segmentation models, and recommendations to improve marketing returns and customer value.
Description
- Generate actionable customer insights to support sales and profit growth through clients’ loyalty programs.
- Partner with Strategy and Client Services to align work with client goals and deliver results.
- Build and maintain audience lists for CRM campaigns and engagement goals.
- Turn complex data into recommendations grounded in client strategy, success measures, and program objectives.
- Create data visualizations and explainers for internal and external audiences.
- Work with Data Engineering and Business Intelligence to develop tools, models, and data sources.
- Design learning agendas, test plans, and solutions to increase incremental return on investment and customer lifetime value.
- Coordinate workflow, project scope, and priorities across client requests and company investments.
- Advise clients on the strategic direction of their loyalty initiatives.
- Build real-time dashboards for internal and external stakeholders.
Requirements
- At least 2–4 years of relevant customer analytics, marketing, or CRM experience.
- Ability to communicate insights and recommendations through compelling data stories and influence senior stakeholders.
- Familiarity with data exploration and visualization tools such as Tableau, Power BI, or Sigma.
- Demonstrated success applying customer segmentation methods, including RFM, cluster analysis, and regression modeling, to targeted marketing.
- Strong project management skills and experience handling multiple projects at once.
- Bachelor’s degree in Statistics, Marketing, Economics, or Computer Science.
- Python and SQL programming experience preferred.
- A master’s degree in Statistics, Economics, or Applied Mathematics, or an MBA, preferred.
- Knowledge of core marketing and customer loyalty principles preferred.
- Ability and willingness to travel as needed for the role.
Benefits
- Flexible time off for recharging.
- Nine company-wide holidays.
- A broad benefits package focused on professional growth, development, and personal well-being.
- Flexible work environment.
- Remote work.
- Supportive, innovative, collaborative, growth-oriented culture.