Senior Analyst-Data Analytics

Job Description

The Analytics, Investments and Marketing Enablement (AIM) team – a part of Global Commercial Services Marketing (GCSM) – is the analytical engine that enables the Global Commercial business. The team enables commercial businesses by providing actionable insights to drive business strategy and growth. This is an outstanding opportunity that will work very closely with commercial organization to provide meaningful analytics and actionable insights that help in creating growth strategies. This role would be a part of AIM team and will be responsible for Global & Large Customer Analytics, in close partnerships with a diverse set of stakeholders.

Responsibilities

• Spearheading analytics to drive product strategy for Global & Large Customers.
• Drive multiple strategic growth priorities like building engagement triggers and scaling our product set.
• Support and enable the GCS partners with actionable, insightful analytical solutions to help the leadership team evaluate and drive business performance.
• Introduce new approaches to transform complex customer behavioral data that serve the entire Global Commercial organization.
• Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment.
• Outstanding execution skills – be able to resolve issues, identify opportunities, and define success metrics and make things happen. Drive Automation and ongoing refinement of analytical frameworks.
• Continually broaden and strengthen knowledge of analytical methods and tools.
  
  

Qualifications

Minimum Qualifications

• Master's/Bachelor's Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics).
• 24-48 months of experience in data analytics.
• Strong programming skills with Python and SQL.
• Familiarity and interest in applying emerging AI and Gen AI capabilities to improve customer/prospect targeting.
• Strong communication and interpersonal skills.
• Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives.
• Ability to work in a dynamic, cross-functional environment, with a strong attention to detail.
• Outstanding strategic and analytical thinking.
  
  

Preferred Qualifications

• Experience with Hive, PySpark is a plus.
• Experience in predictive modeling / machine learning is a plus.
  
  

About Us

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.

About The Team

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• 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
  
  

American Express is an equal opportunity employer and makes 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.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.