Senior Analyst, Data Analytics - Rewards Integrity

Responsibilities

• The incumbent will collaborate with a team responsible for managing the end-to-end Rewards Integrity strategy, leveraging advanced analytics, robust controls, and cross-functional partnership to identify and mitigate financial and operational risk.
• Analyze complex datasets to identify trends, risks, and potential leakage, translating insights into actionable strategies
• Maintain audit-ready documentation and uphold governance and control standards
• Perform and support hands-on operational execution, including manual processes, performance monitoring, and delivery of measurable results
• Conduct deep dives into product constructs, processes, and data flows to identify risks, control gaps, leakage, and optimization opportunities
• Partner cross-functionally to align on strategic objectives, validate insights, and drive coordinated execution

Qualifications

• Required Skills/Qualifications :
• 2+ years of experience in risk management, analytics, or a related function
• Experience with writing SQL queries, including working within Lumi (or similar data platforms)
• Strong analytical and problem-solving skills with the ability to interpret large datasets and translate findings into actionable insights
• Demonstrated ability to produce audit-ready documentation and operate within established governance and control frameworks
• Experience collaborating with cross-functional stakeholders across multiple business units
• Demonstrated ability to work independently in ambiguous environments, prioritize effectively, and drive measurable results
• Ability to deep dive into product constructs, processes, and data flows to identify risks, inefficiencies, and potential leakage
• Strong communication skills, with the ability to clearly present insights and recommendations to both technical and non-technical audiences
• Preferred Qualifications :
• Bachelor’s degree in Finance, Economics, Business, Data Analytics, or a related field
• Experience in financial services, payments, or risk-focused environments
• Familiarity with large-scale data environments
• Advanced proficiency in SQL, Python, R, or similar languages, with demonstrated experience developing, reviewing, validating, and troubleshooting complex code and analytical solutions within Lumi or comparable data platforms
• Familiarity with risk frameworks, controls, and governance processes
• Experience identifying and quantifying financial or operational leakage and implementing mitigation strategies
• Demonstrated ability to influence stakeholders and drive cross-functional initiatives from insight to execution
• Continuous improvement mindset with experience optimizing processes or building scalable analytical solutions
• Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

About Company

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