Analyst-Data Science
American Express
Gurugram, Haryana, India
Category
IT
Position Type
Full-Time
Company Overview
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. As part of Team Amex, you'll experience this 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.
Position Summary
The Analyst will be part of the Global Spend Insights & Analytics team, supporting the development and maintenance of Global Spend/Industry/Merchant dashboards and contributing to strengthening risk control with enhanced levels of documentation and analytic solutions, such as anomaly detection algorithms.
Key Responsibilities
- Support the ownership of AXP Spend Dashboards, including data quality checks, automation, synthesis of results, and clear communication of insights.
- Contribute to strengthening risk control by developing documentation and implementing analytic solutions (e.g., anomaly detection logic), including refinement, monitoring, and stakeholder communication.
- Work with large and complex datasets to extract meaningful insights; conduct analyses to inform business decisions and provide actionable recommendations.
- Partner with cross-functional teams to ensure data integrity, business relevance, and actionable outputs.
- Present analyses and findings effectively to a range of audiences, including both technical and non-technical stakeholders.
Education Requirements
- Bachelor’s degree required and master’s degree preferred in following areas: Statistics, Economics, Mathematics, Engineering, Finance, Computer Science, or related quantitative fields
Soft Skills
- Excellent problem-solving and communication skills, with the ability to explain complex data topics to non-technical audiences
Benefits
- 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
Preferred Qualifications
- Proficiency in SQL, Hive, Python, Pyspark, Machine Learning Techniques
- Working experience in reporting (i.e. data visualization, KPIs tracking, scorecards) is a plus
- Intellectual curiosity about the business trend and P&L management. Working experience in Finance / Corporate Planning is a plus although not required
- Experience with data modeling, anomaly detection, or similar analytical techniques