Decision Science Analyst

Join a National Top Workplace

Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We’re always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world’s most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers.

Join Us from Anywhere While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with:

· Flexible Time Off to recharge when needed · Nine Company-Wide Holidays · A diverse suite of benefits prioritizing your growth, development, and personal well-being

Discover more about our perks and benefits here.

Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role.

Travel Requirements: As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in-person connection and collaboration that strengthens our teams, supports our clients, and enhances our culture. While travel requirements vary by role, periodic travel may be required to support business objectives, team collaboration, customer engagements, training, and company events. Candidates should be able and willing to travel as needed to fulfill the responsibilities of the role.

About the team and what we’ll build together

We find actionable insights in our clients’ loyalty data that help drive enterprise value. We create real time dashboards to inform internal and external stakeholders. You'll bring your experience with a breadth of marketing techniques, an ease of working with customer data, and an understanding of advanced mathematics and statistical techniques. This position is a client-facing, hands-on role that is responsible for helping shape our clients’ strategic direction for their loyalty initiatives.

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

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