Analyst-Data Analytics

Gurugram, Haryana, India
May 31, 2024
May 31, 2025
Hybrid
Full-Time
Fresher
Job Description

The Analytics, Investments, and Marketing Enablement (AIM) team within Global Commercial Services Marketing (GCSM) serves as the analytical engine for the Global Commercial business. The AIM team drives business strategy and growth by providing actionable insights. As an Analyst, you will work closely with the commercial organization to deliver meaningful analytics that help shape growth strategies.

Key Responsibilities

  1. Lead Analytical Projects. Spearhead analytics initiatives to drive product strategy for Global & Large Customer segments.
  2. Strategic Growth Priorities. Support multiple strategic growth initiatives, including building engagement triggers and scaling our product offerings.
  3. Support GCS Partners. Provide actionable, insightful analytical solutions to help the leadership team evaluate and drive business performance.
  4. Innovate with Data. Develop new approaches to transform complex customer behavioral data, benefiting the entire Global Commercial organization.
  5. Effective Communication. Engage, influence, and inspire partners and stakeholders through excellent communication skills to drive collaboration and alignment.
  6. Execution Excellence. Resolve issues, identify opportunities, define success metrics, and ensure successful project execution. Drive automation and continuous improvement of analytical frameworks.
  7. Expand Analytical Knowledge. Continuously broaden and strengthen knowledge of analytical methods and tools.

Minimum Qualifications

  • 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 solver with the ability to learn quickly and work independently on complex, unstructured initiatives.
  • Ability to work effectively in a dynamic, cross-functional environment with a strong attention to detail.
  • Exceptional strategic and analytical thinking.

Preferred Qualifications

  • Experience in Python and SQL.
  • Experience with Hive and PySpark is a plus.
  • Experience in predictive modeling and machine learning is a plus.

Benefits. American Express supports its colleagues with comprehensive benefits and programs that prioritize their physical, financial, and mental health at every stage of life. Benefits include.

  • Competitive base salaries and 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 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, making 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. Employment offers are contingent upon successful completion of a background verification check, subject to applicable laws and regulations.

Join Us. If you are ready to lead the way and make a meaningful impact, apply now and become a part of our journey towards excellence.