Analyst - Data Analytics

The Product Analytics team within USCS is a key function that informs and drives product strategy and customer experience through data driven insights. We are currently hiring for the role of Analyst – Loyalty and MR Analytics within Product Analytics. The Loyalty and MR Analytics Team supports the organization’s efforts to drive customer engagement, maintain competitive differentiation and manage expenses through Membership Rewards (MR) earn and burn programs. The candidate will work on effectively leveraging data to generate insights for optimizing the MR program. The role will require cross-functional collaboration with several groups including Product Management, Marketing, Finance and Analytics. This role represents a unique opportunity to leverage applied quantitative skills to influence business strategy and drive measurable outcomes.

Responsibilities

• Analyze Cardmember MR earn/burn behavior and inform marketing treatments to drive engagement
  
• Inform MR partner evaluation framework and redemption option strategy
  
• Communicate data driven findings and strategic insights effectively to stakeholders across the USCS organization and other cross-functional teams
  
• Collaborate with cross-functional teams including Product, Finance, and Marketing to align data insights with broader organizational objectives and initiatives
  
• Translate complex data into clear narratives and compelling business stories to influence executive-level decisions
  
• Stay informed on industry trends, emerging technologies, and best practices in analytics to drive innovation and continuous improvement
  

Critical Factors to Success

• Strong analytical skills and an innovative approach to solving practical problems
  
• Sound knowledge of Machine learning algorithms / statistics / data mining and research methods
  
• Good understanding of the card economics. Experience in Charge/Loyalty analytics is a plus
  
• Exceptional verbal, written, and interpersonal communication skills
  
• Natural intellectual curiosity and strong interest in the credit card and loyalty space
  

• Bachelor’s degree required and Master’s degree preferred in following areas: Statistics, Economics, Mathematics, Engineering, Business, Finance, Computer Science, or related quantitative fields
  
• 0 - 2 years of professional experience driving performance optimization through the application of advanced analytics and decision sciences
  
• Hands-on expertise using statistical analysis and data manipulation software/tools (e.g. SQL, Hive, Python and Big Data analytic techniques)
  
• Enthusiastic, self-driven individual with proactive approach to learning, identifying emerging industry trends, and generating innovative solutions
  
• Ability to learn quickly and work independently with large and complex datasets
  

• Competitive base salaries 
• Bonus incentives 
• Support for financial-well-being and retirement 
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) 
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
• Generous paid parental leave policies (depending on your location) 
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) 
• Free and confidential counseling support through our Healthy Minds program 
• Career development and training opportunities