Analyst-Data Analytics (SQL, Python, GenAI)

The AIM (Analytics, Investment & Marketing Enablement) team – a part of GCS (Global Commercial Services) Marketing– is the analytical engine that enables Global Commercial business portfolio of American Express. Accelerating growth momentum, increasing profitability, and powering up our value proposition are key objectives for this organization. The team enables GCS Marketing business by providing actionable insights to drive business strategy and growth.

This Analyst (Band 30) role would be based in Gurgaon (India) and would be focused on driving Acquisition Campaign Measurement Analytics spanning across channels and product offerings from Amex.

• Support and enable the business partners with campaign measurements, ROI analysis and actionable data driven insights for acquisition & engagement treatments in GCS
• Develop analytical solutions for GCS business teams by gathering requirements from stakeholders, performing data analysis, presenting results
• Accurate, timely and efficient delivery of monthly results reporting for marketing & sales leadership
• Keen on exploration and analysis of data from various data sources, translate the same to excellent visual case studies.
• Quick learner quick to understand the business and support pilot projects amidst ambiguity
• Collaborate with functional leaders, business partners and senior leaders to assess business needs, evaluate project feasibility, ensure data integrity, and provide actionable recommendations in times of constant change
• Build a solid relationship/partnership with Marketing Stakeholders, drive projects end to end with full accountability and growth mindset

Minimum Qualifications:

• Degree in a quantitative field preferred – e.g. B. Tech; BSc/MSc Statistics, Bachelors/master’s in economics
• Knowledge of Hive, Python, PySpark, SQL encompassing data manipulation, statistical modeling/data-mining techniques, Tableau, Power BI
• Strong analytical aptitude and technical skills
• Project Management
• Excellent verbal, written, and interpersonal communications skills with an ability to formulate and communicate results & methodologies in a clear and compelling way
• A demonstrated ability to work in high-pressure situations with minimal errors
• An optimistic and growth mind-set with a tremendous will to win
• Should be able to function with minimum supervision with high sense of ownership
• Should be comfortable with flexible shift timings to support Global Partners
• Strong technical and problem-solving skills
• Strong communication and interpersonal skills
• Ability to analyze large amounts of data and create innovative solutions
• Ability to work effectively in a team environment
• Ability to learn quickly and work independently with complex, unstructured initiatives

• Ability to challenge the status quo and drive innovation

  
  Preferred Qualifications:

• Minimum 0-2 years of relevant experience with strong knowledge of skills like Python, SQL & Advanced Excel required; R also good to have.
• Good knowledge of statistical techniques like hypothesis testing, regression, KNN, t test, chi-square test
• Good knowledge of Tableau/Power BI preferred
• Relevant experience in campaign measurement/marketing analytics is a plus
• Experience in marketing analytics and campaign measurement preferred; relevant industry experience preferred

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.