Senior Analyst – Data Analytics

American Express

. Use analytics to generate insights and partner with Amex Offers Marketing teams to drive higher offer redemption and merchant/customer satisfaction .

Posted 9/21/2026full-timeGurgaon • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in analytics and insights generation, utilizing advanced statistical techniques and programming skills in Python, SQL, and PowerBI to drive business solutions and enhance productivity. Capable of managing multiple projects while delivering actionable insights and recommendations to support enterprise priorities.

Highest-signal resume keywords

Analytics & Insights & TargetingPythonSQLAdvanced Statistical TechniquesPowerBI

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AnalyticsData AnalysisStatistical TechniquesProblem SolvingData InterpretationWhat-If ScenariosAdvanced ExcelAlgorithm DevelopmentBig DataProduct Development

Soft Skills

CollaborationCommunicationLearning AgilityDecision-MakingIntegrity

Tools & Technologies

HivePySpark

Industry Keywords

Merchant EngagementConsumer BusinessOffer RedemptionRevenue GrowthOffer Adoption

Tech Stack

Tools & technologies

PySparkPythonSQL

About the role

Key responsibilities & impact

Use analytics to generate insights and partner with Amex Offers Marketing teams to drive higher offer redemption and merchant/customer satisfaction
Solve complex business problems through ideation, development, and ownership of next-generation technology solutions, algorithms, and platforms
Innovate and enhance existing solutions using big data and advanced analytics
Build products to scale critical initiatives and enhance productivity
Work with partners across the globe and multiple business units
Execute projects end-to-end from problem definition and data analysis/interpretation through storyline development, insights, and recommendations
Support enterprise priorities including revenue growth, offer adoption, and merchant engagement

Requirements

What you’ll need

1-3 years of relevant experience in analytics domain
Bachelor's in Statistics/Mathematics/Economics/Engineering with relevant experience
Experience in the merchant/consumer business preferred
Post Graduation in Management / Statistics / Mathematics / Economics / Engineering preferred
Analytics & Insights & Targeting
Python, SQL, Hive, PySpark, PowerBI
Advanced Statistical Techniques
Advanced Excel
Ability to translate unstructured requests into analytical strategies and actionable insights
Ability to manage multiple requests with a quick turn-around
Ability to structure possible what-if scenarios and provide multiple solutions based on timeline and data availability
Demonstrate learning agility, quick and effective decision-making, integrity, collaboration, and communication

Benefits

Comp & perks

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