Senior Analyst-Data Analytics
American ExpressMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong employer brand plus generalist data skillset increases applicant competition to medium.
Core analytics skills transfer across industries, though merchant/consumer preference raises moderate sensitivity.
Explicit 1-3 year requirement and mandatory Python/SQL/PySpark/PowerBI skills create moderate shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end data analytics projects for Amex Offers and Digital Media Analytics, including problem definition, data analysis, insight development, and strategic recommendations.
Drive key enterprise priorities such as revenue growth, offer adoption, and merchant engagement through insightful analysis and stakeholder collaboration.
Create strategic insights rapidly by understanding new data and applying business knowledge and advanced data techniques.
Minimum Requirements
1-3 years of relevant analytics experience, preferably in merchant or consumer business domain.
Bachelor's degree in Statistics, Mathematics, Economics, Engineering or related field; Postgraduate degree preferred.
Technical proficiency in Python, SQL, Hive, PySpark, PowerBI, advanced statistical techniques, and advanced Excel.
Work Experience Required: 1-3 years in analytics domain.
Ideal Candidate Profile
Experience working on digital marketing or consumer/merchant analytics initiatives focused on revenue and engagement growth.
Capabilities in translating complex data into actionable business insights and recommendations for cross-functional stakeholders.
Comfortable working in enterprise-scale analytics environments with emphasis on quick decision-making and strategic impact.