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.
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 UsAt 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 TeamWe 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.
Skills Required
- Master's degree in a quantitative discipline
- 1+ years of experience in data science, advanced analytics, or machine learning
- Strong programming skills in Python and SQL
- Strong communication and interpersonal skills
American Express Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about American Express and has not been reviewed or approved by American Express.
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Healthcare Strength — Pay is often viewed as attractive when combined with comprehensive health, dental, and vision coverage that supports day-to-day needs. The benefits package is also framed as especially helpful for those supporting dependents.
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Retirement Support — Retirement benefits are positioned as a meaningful part of total rewards through a 401(k) plan with company matching. Financial wellness services and coaching are also highlighted as strengthening longer-term financial security.
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Leave & Time Off Breadth — Paid time off is repeatedly characterized as generous and a valued component of the overall package. Time off and flexibility are presented as helping the total rewards feel more complete beyond base salary.
American Express Insights
What We Do
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day. These beliefs have been our North Star for 170 years as our business transformed – from helping evacuate travelers during World Wars, to ensuring the safety of our customers’ funds during the Great Depression in the U.S., to creating the Shop Small® movement to help small businesses recover from the Financial Crisis, to providing aid to communities impacted by many natural disasters and so much more. For generations, the key to our success has been the determination and resilience of our American Express colleagues. Now, as a globally integrated payments company, we work together to provide customers with access to products, insights and world-class experiences that enrich lives and build business success. Join us and let’s lead the way together.
