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Open nowPosted today

Senior Analyst-Data Analytics

American Express326 open roles

Where
Gurugram, HR, India
Work mode
Hybrid
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Your applicationOpen nowSenior Analyst-Data AnalyticsAmerican Express · Gurugram, HR, India

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The clock on this job

Early applications get read.

13.1% of postings close within 7 days. Measured by our own scanner across the market. American Express postings stay open a median of 9 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.1%7 days
  4. 21.1%14 days
  5. 35.8%30 days
  6. 59.0%60 days
This job: posted today

American Express median: 9 days open

The posting

Job Description

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.

Responsibilities

  • 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.

Qualifications

  • Bachelor's 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.

About Us

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

  • 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

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

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