Senior Analyst - Data Analytics

Senior Analyst – US Consumer Marketing Analytics & Investment Services: With a focus on strategy and analytics, US Consumer Marketing analytics & Investment Services team is responsible for driving acquisition growth & deepening engagement with cardmembers by delivering the most relevant content to the right consumer through their preferred channel of choice optimizing value maximization and customer experience. Our charter is to drive revenue growth for the business and maximize return for investment on marketing dollars by accelerating innovation for both immediate impact as well as long-term transformation of our business. The team has a very broad range of responsibilities, resulting in a range of business growth initiatives for the US consumer card business.

Purpose of the Role:

This position is in the US Consumer Marketing Analytics & Investment Services team and is responsible for driving customer acquisition and business growth via expanding and deepening analytics on Customer Personalization Strategy. You will leverage advanced analytics, experimentation, and AI/GenAI-powered capabilities to bring transparency & deepen understanding of the current arbitration framework for treatments, recommend enhancements in framework, ramp up test & learn of treatments across placements & partner with teams across enterprise- Marketing, Decision Science, Product, Analytics and Technologies to stay abreast of any changes & corresponding business impact on US Consumer Marketing team’s success metrics & business goals.

• Develop deep understanding of customer treatments & landscape of placements across channels- both digital and non-digital, customer data and campaign setups. 
• Understand the components driving arbitration decisions today and develop framework to assess business impact of changes in those components.   
• Leverage structured and unstructured data to generate actionable insights and identify opportunities to improve acquisition efficiency and customer quality.
• Apply AI and GenAI techniques, including automated insights generation, semantic analysis, customer intent modeling, and search intelligence, to improve decision-making and analytical productivity.
• Drive experimentation, performance measurement, and investment optimization by designing tests, evaluating results, and translating findings into actionable recommendations.
• Partner closely with marketing, product, technology, and platform teams to implement analytical solutions and ensure measurable business impact.

Critical Factors to Success:

• Analytical Approach & Technical Expertise
• Teammate, Coach and Relationship Builder
• Strong Business Sense

Experience:

• 2+ years of work experience leveraging analytics and data science to drive business results. 

Academic Background:

• Master’s Degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Engineering, Mathematics, Finance, Computer Science)

Functional Skills/Capabilities:

• Strategic thinker with a proven ability to define strategic vision and build actionable roadmaps.
• Resilient, decisive individual with a track record of challenging the status quo and driving execution in fast-paced, complex environments.
• Skilled in influencing cross-functional teams and gaining stakeholder alignment to achieve bold, enterprise-wide outcomes 
• Ability to be proactive, think quickly and make critical decisions regarding high visibility deliverables with tight timelines; often requiring the ability to make complex decisions in situations of ambiguity and time pressure 
• High quality written and oral communication skills with proven success in influencing business decisions 
• Excellent presentation skills, especially in crafting engaging and informative visual support materials
• Knowledge of Global Marketing, personalization framework, CM data will be an added advantage

Technical Skills/Capabilities:

• Prior experience on US consumer data and ability to coach the team on standard processes in querying extremely large and complex datasets using big data programming languages (Python, Hive, Scala).
• Expert knowledge of experimental test design and ability to inform business strategy based on statistical findings
• Strong knowledge of advanced machine learning techniques and data driven solutions to business challenges

Behavioral Skills/Capabilities:

• Enterprise Leadership Behaviors
• Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
• Bring Others With You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
• Do It The Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage