American Express is hiring for a entry level Data Analyst job in India

Company Description

Global and diverse community: American Express is a global company known for its diverse and inclusive community of colleagues.
Commitment to customer service: The company is dedicated to providing exceptional customer experiences and support to both individuals and businesses.
Career development: Employees are encouraged to grow professionally and personally through various benefits, programs, and flexible working arrangements.
Recognition and impact: Contributions, leadership, and impact are highly valued, with opportunities to share in the company’s success.
Integrity and belonging: A workplace environment where everyone is seen, heard, and feels a sense of belonging is prioritized.
Company values: Upholding values and promises to provide the best customer experiences with utmost integrity.

Analytics, Investments and Marketing Enablement (AIM) team: This team within Global Commercial Services Marketing (GCSM) functions as the analytical engine for the Global Commercial business.
Role: Manager for Global & Large Customer Analytics, providing actionable insights to drive business strategy and growth.
Collaboration: Close partnership with a diverse set of stakeholders within the commercial organization.
Responsibilities:
- Lead analytics to drive product strategy for Global & Large Customers.
- Manage strategic growth priorities, such as engagement triggers and product scaling.
- Provide analytical solutions to support GCS partners in evaluating and driving business performance.
- Innovate approaches to transform complex customer behavioral data.
- Communicate effectively to engage, influence, and inspire partners and stakeholders.
- Execute tasks with exceptional skills, identifying opportunities, defining success metrics, and driving automation.
- Enhance knowledge of analytical methods and tools.

Required:
- MBA or Master’s degree in a quantitative field (e.g., Finance, Engineering, Mathematics, Computer Science, Economics).
- 0-30 months of experience in data analytics.
- Strong communication and interpersonal skills.
- Innovative problem-solving ability.
- Capacity to work independently with complex, unstructured initiatives.
- Detail-oriented and capable of working in a dynamic, cross-functional environment.
- Exceptional strategic and analytical thinking.
Preferred:
- Experience with Python and SQL.
- Familiarity with Hive and PySpark.
- Knowledge of predictive modeling and machine learning.

Benefits:
- Competitive base salaries and bonus incentives.
- Support for financial well-being and retirement.
- Comprehensive medical, dental, vision, life insurance, and disability benefits (varies by location).
- Flexible working models: hybrid, onsite, or virtual arrangements (depends on role and business need).
- Generous paid parental leave policies (varies by location).
- Free access to global on-site wellness centers with nurses and doctors (varies by location).
- Free and confidential counseling support through the Healthy Minds program.
- Career development and training opportunities.
Equal opportunity employer: Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected status.
Employment condition: Offer of employment is subject to the successful completion of a background verification check, in accordance with applicable laws and regulations.