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



Position: Analyst-Data Analytics

Company: American Express

Location: Gurgaon, Haryana, India

Job type: Full-time

Job mode: Hybrid

Job requisition id: 24009083

Years of experience: 0-30 months

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.

Profile Overview

  • 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.

Qualifications

  • 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.

Additional Information

  • 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.

Please click here to apply.

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