Manager, Decision Sciences
Team: Decision Sciences
Location: St. Petersburg, Florida
Commitment: Full-Time
Workplace Type: remote
How you will make an impact
- 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
What you need to be successful
- 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
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