Back to jobs

Campus Graduate Masters Summer Internship Program - 2027 Data Analytics, US Consumer Services - New York, NY

New York, NY, United States

Pay
Pay not listed
Work setting
Hybrid — work setting source
Work setup in the employer’s listing: Hybrid
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
Read the full posting
Apply at American Express

What you’ll work on

Full posting
  • Analyze complex data sources to inform business decisions

  • Communicate analytics insights and recommendations to partners

  • Develop and automate reports and dashboards on business performance

  • Integrate new data sources, AI capabilities and analytical tools

From the employer’s posting
Leverage sophisticated data sources and analytical methods to inform business decisions and practical recommendations.
Communicate analytics-based insights and business recommendations to partners.
Develop and automate reports/dashboards to inform partners and senior leaders about business performance.
Integrate new data sources, AI capabilities, and/or analytical tools to support key business decisions.

What you’ll bring

All qualifications

Core experience

  • 2+ years of professional work experience in an analytical, data science, or business analytics function.
  • Master's degree candidates with an expected graduation date between December 2027 and June 2028.
  • Knowledge of MS Office applications.
  • Experience manipulating and extracting business/customer insights from large and complex datasets.

Preferred experience

  • Ability to balance attention to detail with big-picture thinking.
  • Demonstrated ability to work optimally and collaboratively in high-pressure situations and balance multiple priority assignments simultaneously – must be a self-starter.
Qualification wording
2+ years of professional work experience in an analytical, data science, or business analytics function.
Master's degree candidates with an expected graduation date between December 2027 and June 2028.
Knowledge of MS Office applications.
Experience manipulating and extracting business/customer insights from large and complex datasets.
Ability to balance attention to detail with big-picture thinking.
Demonstrated ability to work optimally and collaboratively in high-pressure situations and balance multiple priority assignments simultaneously – must be a self-starter.
Education & alternatives
Minimum Qualifications - Currently enrolled in a Master's degree program specializing in a quantitative or analytical field (e.g., Data Science, Engineering, Mathematics, Finance, Computer Science, Statistics, Economics or MBA). - 2+ years of professional work experience in an analytical, data science, or business analytics function.
- 2+ years of professional work experience in an analytical, data science, or business analytics function. - Master's degree candidates with an expected graduation date between December 2027 and June 2028. - Knowledge of MS Office applications.

Tools in this posting

  • Python
  • R
  • SAS
  • SQL
  • Hive
Source — Tool mentions in context
- Knowledge of MS Office applications. - Strong programming skills (SQL, SAS, R, Python, Hive, etc.). - Experience manipulating and extracting business/customer insights from large and complex datasets.

Posting record

Report an error
Status in our records
Live
First seen by us
Sep 1, 2026 · 50 days ago
Recorded sightings
245
Last seen by us
Oct 21, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

Complete your application on egug.fa.us2.oraclecloud.com. The employer’s form will show what is required.

Already applied? Track this application

Job description

View original posting ↗

Business Unit/Role Specific Information

In U.S. Consumer Services (USCS), our product is Membership—delivering benefits and services that are essential to our Card Members across travel, dining, entertainment, and retail. We compete by providing a differentiated Membership experience that drives loyalty and long-term growth. USCS brings this to life through our premium, cobrand, cash back, and lending portfolios, Membership Rewards, Travel & Lifestyle Services, the Centurion Lounge network, Global Dining, U.S. Consumer Banking, Amex Offers, Amex Ads, and best-in-class marketing programs. 

How will you make an impact in this role?

We’re looking for a graduate level intern to support the team on critical and innovative projects as a Summer Analytics Manager. Broadly the role may entail some of the below responsibilities:

  • Leverage sophisticated data sources and analytical methods to inform business decisions and practical recommendations.
  • Communicate analytics-based insights and business recommendations to partners.
  • Develop and automate reports/dashboards to inform partners and senior leaders about business performance.
  • Integrate new data sources, AI capabilities, and/or analytical tools to support key business decisions.

Minimum Qualifications

  • Currently enrolled in a Master's degree program specializing in a quantitative or analytical field (e.g., Data Science, Engineering, Mathematics, Finance, Computer Science, Statistics, Economics or MBA).
  • 2+ years of professional work experience in an analytical, data science, or business analytics function.
  • Master's degree candidates with an expected graduation date between December 2027 and June 2028.
  • Knowledge of MS Office applications.
  • Strong programming skills (SQL, SAS, R, Python, Hive, etc.).
  • Experience manipulating and extracting business/customer insights from large and complex datasets.
     

Preferred Qualifications

  • Passion for innovation and customer-first thinking. 
  • Ambitious thinker with a strong curiosity about digital products, data, and emerging AI technologies, with the ability to collaborate effectively with technology and product partners.
  • Ability to balance attention to detail with big-picture thinking.
  • Strong analytical and decision-making skills – must have the ability to compile, analyze, research, and link complex issues.
  • Demonstrated ability to work optimally and collaboratively in high-pressure situations and balance multiple priority assignments simultaneously – must be a self-starter. 
  • Excellent written and verbal skills, with the ability to effectively communicate complex analytical concepts and why they matter to colleagues at all levels and technical abilities.
  • Willingness to learn and master new systems.
     

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

New York, NY, United States

Working pattern and location restrictions need checking in the full posting.

Work authorization
- Willingness to learn and master new systems. Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.