Sr Analyst-Data Analytics
AMERICAN EXPRESS · Gurugram · onsite · Posted 1d ago
Undisclosed2–7 yrsfulltimeSourced from
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About this role
Sr Analyst/Analyst, US Consumer CXO Experimentation Analytics
The U.S. Consumer Marketing (USCM) team at American Express drives customer acquisition, engagement, and growth through data-driven marketing. Within USCM, the Marketing, Membership & Investment Optimization (MMIO) team leverages analytics, experimentation, and data science to optimize marketing investments and business outcomes.
We are seeking a Senior Analyst to advance experimentation and measurement capabilities through rigorous analytics, causal thinking, and AI-powered solutions. The ideal candidate is an AI-native, intellectually curious problem solver who thrives in ambiguity, builds solutions from 0 to 1, and translates complex analyses into measurable business impact.
- Bachelors degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative field (master s preferred), with 2+ years of relevant experience in analytics, data science, or experimentation.
- Strong proficiency in SQL and Python, including statistical analysis, large-scale data manipulation, and analytical coding.
- Solid foundation in statistics and experimentation, including A/B testing, hypothesis testing, confidence intervals, statistical power, and experiment design.
- Hands-on experience with AI-assisted coding and analytics tools (e.g., ChatGPT, Claude, Cursor, Copilot, Codex), including the ability to validate AI-generated code and analytical outputs.
- Understanding of LLMs and agentic AI concepts, including prompting, APIs, tool/function calling, RAG, MCP, and agent workflows.
- Familiarity with machine learning fundamentals, including regression, classification, predictive modeling, and model evaluation.
- Strong problem-solving skills, ability to navigate ambiguity, independently drive end-to-end solutions, and communicate effectively with technical and business stakeholders.
Preferred Qualifications
- Experience with causal inference and advanced experimentation methods, including difference-in-differences, synthetic controls, propensity score methods, quasi-experimental designs, or incrementality measurement.
- Hands-on experience building AI agents or agentic analytical workflows, particularly for experimentation, data analysis, insight generation, or analytical automation.
- Demonstrated experience building 0-to-1 analytical solutions, reusable frameworks, or automation capabilities with measurable business impact.
- Experience in marketing measurement, digital experimentation, customer acquisition, or conversion optimization.
- Design, execute, and analyze experiments to measure incrementality, optimize marketing effectiveness, and improve prospect experiences across the end-to-end acquisition journey.
- Leverage experimentation, analytics, and causal reasoning to identify opportunities for personalized experiences, improved conversion, and customer acquisition growth.
- Translate complex analyses into actionable insights that shape marketing strategies, investment decisions, and prospect & customer journey optimization.
- Build AI-powered, scalable solutions: Leverage AI tools and agentic workflows to develop reusable analytical frameworks, automate processes, and accelerate experimentation, insights, and decision-making.
- Collaborate with cross-functional stakeholders to translate ambiguous business challenges into analytical solutions and clear recommendations.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
AutomationclaudeAnalytics toolsconsumer marketingapisdata manipulationclassificationcopilotcursorAnalyticsConversion OptimizationExpress.jsData AnalyticsAI Toolsdata analysisCustomer AcquisitionData ScienceArtificial Intelligence
About American Express
AMERICAN EXPRESS
Financial Services
22.8k+
employees
1850
176 years old
Gurgaon / Gurugram, Haryana
India
About
Global payments leader, delivering innovative financial services with $65.9 billion in revenue, empowering consumers and businesses worldwide through trusted products and services.
Industries
Financial ServicesRetailTravel & Tourism / Hospitality
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