Play a key role 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.
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.
Manage all aspects of performance and development of direct reports to encourage professional growth by providing opportunities and giving clear and constructive feedback.
Oversee customer data requests; scope and prioritize these requests, and lead a team to analyze and present data.
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.

6-9+ 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

Manager, Decision Sciences

Key skills