Manager, Loyalty Analytics

About the Role

Key Responsibilities

• Partner with the business to conceptualize business issues and translate into appropriate analytical approaches
• Analyze large amounts of customer data to isolate key trends and business opportunities and develop actionable solutions and recommendations
• Develop and deliver effective presentations that summarize complex analyses and inform business decisions
• Coordinate the activities of internal and outsourced customer analytics resources
• Build trusted relationships with business partners

Requirements

• Minimum of 4 years of work experience
• Must be eighteen years of age or older
• Must be legally permitted to work in the United States
• Strong SQL proficiency; experience with additional programming (e.g., Python, R) a plus
• Demonstrated experience applying analytics/statistics in business or marketing contexts
• Deep understanding of customer and transaction-level data
• Skilled in creating clear, strategic narratives through dashboards and presentations
• Experience managing all aspects of discrete projects/workstreams (relationship management, data collection, analysis, interpretation, document development, communication)
• Ability to develop frameworks and approaches to break complex business questions into addressable pieces
• Experience extracting data from and manipulating large data sets (using SAS, SQL, R, etc.)
• Familiarity with data mining statistical methods (Regression, factor analysis, clustering, etc.)
• Experience with creative data visualization techniques
• Experience developing executive-ready communication materials and presenting them to senior stakeholders
• Ability to work closely with peers and manager in flat team structure
• Demonstrated history of continuously learning new analytical techniques and approaches
• Ability to interpret and translate outputs from complex analyses into business language

Nice to Have

• Master's degree or MBA
• Experience with tools like Tableau, Power BI, or Looker
• Retail industry knowledge or strong interest in consumer behavior
• Strong SQL proficiency; experience with additional programming (e.g., Python, R) a plus
• Deep understanding of customer and transaction-level data

Qualifications

• The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a related field