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American Express

Senior Analyst-Data Analytics

Posted Yesterday
Hybrid
New York, NY, USA
Senior level
Hybrid
New York, NY, USA
Senior level
The Analyst will develop analytical solutions to enhance data quality and drive effectiveness in targeting and engagement using machine learning and advanced methodologies. They will collaborate to create innovative data products and solutions focusing on commercial channels, ensuring responsible design adhering to data integrity standards.
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The AIM (Analytics, Investment & Marketing Enablement) team – a part of GCS Marketing – is the analytical engine that enables the Global Commercial Services portfolio of American Express. Accelerating growth momentum, increasing profitability, and strengthening our value proposition are key objectives for this organization.

 

This Analyst role will join the Data Quality & Data Products team within AIM and will develop analytical solutions that enhance targeting, acquisition, engagement, and prospecting effectiveness across commercial channels. In this role, you will be challenged with enriching the quality of commercial data elements for usage in targeting and creating world class data products by leveraging machine learning and other advanced methodologies. The role involves working across a diverse analytical toolkit—including advanced machine learning, predictive modeling, optimization, and Generative AI—to build solutions that improve decisioning and drive measurable business impact. The individual will act as a solution owner, accountable for problem framing, model development, deployment readiness, and ongoing performance monitoring.

 

The ideal candidate will translate business questions into well-structured analytical approaches, deliver high-quality insights, and influence strategic decision-making through clear communication and strong cross-functional alignment. Operating in a highly collaborative environment, the role ensures that analytical solutions and Generative AI solutions are designed responsibly and adhere to Amex standards for data integrity and model governance.

Responsibilities
  • Create and implement analytical solutions on enriching data quality for usage across analytics and targeting. Work with external data vendors to evaluate external data for small businesses incl. signals, inflection points and establish the proof of concept on investing in purchasing the data to improve/enrich commercial targeting.
  • Collaborate with Decision Science and Capabilities teams to build analytical solutions to improve coverage & accuracy of key data elements which are critical inputs into models and marketing/Sales campaigns.
  • Create innovative data products encompassing commercial prospect and customer targeting use-cases, to drive profitable acquisition and engagement strategy (few examples of data products include - Product/Channel Propensity, Best Time to Call or Lead Quality Index (LQI), identifying commercial expense categories etc.)
  • Develop scalable AI/ML and Generative AI solutions (including, but not limited to, NLP- and LLM-based workflows) that drive improvements in prospect identification, routing, personalization and engagement effectiveness across commercial channels with a focus on production deployment, standardization, cost efficiency, and reuse across multiple use cases.
Qualifications

Minimum Qualifications

  • Master’s degree in a quantitative discipline such as Engineering, Mathematics, Computer Science, Physics, Finance, or Economics.
  • 1+ years of experience in data science, advanced analytics, machine learning, decision science, or related quantitative roles.
  • Strong programming skills in Python and SQL, with hands-on experience developing machine learning models and analytical solutions.
  • Strong communication and interpersonal skills, with the ability to deliver clear insights and collaborate across teams.


 

Preferred Qualifications

  • 2+ years of experience in data science, advanced analytics, machine learning, decision science, or related quantitative roles.
  • Experience developing AI/ML, NLP, or Generative AI/LLM-based solutions.
  • Experience building scalable analytical workflows and production-ready solutions.
  • Prior experience in marketing analytics, commercial analytics, or financial services.

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

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
  • 6% Company Match on retirement savings plan
  • Free financial coaching and financial well-being support
  • Comprehensive medical, dental, vision, life insurance, and disability benefits
  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
  • 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
  • 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

For a full list of Team Amex benefits, visit our Colleague Benefits Site.

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. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.


The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.​

American Express New York, New York, USA Office

World Financial Center, New York, NY, United States, 10285

American Express New York, New York, USA Office

200 Vesey St, New York, NY, United States, 10281

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