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Entry Level American Express Data Analyst Jobs (NOW HIRING)

Director, Data Analytics

Manhattan, NY · On-site

$186K - $256K/yr

American Express Company seeks Director, Data Analytics to provide data-intensive, strategic assessments of products and respond to portfolio-specific business questions. Responsibilities Develop and ...

American Express Company seeks Director, Data Analytics to provide data-intensive, strategic assessments of products and respond to portfolio-specific business questions. Position requires a Master ...

This Manager - Data Science role would be responsible for US Prospect or Customer Analytics for ... at American Express. The role will require the incumbent to drive not only sophisticated analysis ...

American Express National Bank seeks Managers, Compliance to, under the supervision of a Director ... analysis, Big data analysis, data visualization and reporting, machine learning and advance ...

Managers, Compliance

Manhattan, NY · On-site

$89K - $150K/yr

American Express National Bank seeks Managers, Compliance to, under the supervision of a Director ... Prepare and present findings from data analyses to internal stakeholders to support informed ...

... American Express. Position requires a Bachelor's degree in Computer Science, Engineering, Information Systems, or a related STEM field, and 3 years of experience with data analysis, and data ...

Managers, Data Science

Manhattan, NY · On-site

$112K - $174K/yr

American Express Company seeks Managers, Data Science to develop predictive modeling for businesses ... Research and deploy emerging technologies to ensure successful quantitative analytical approaches ...

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Entry Level American Express Data Analyst information

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How much do entry level american express data analyst jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for entry level american express data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is the difference between Entry Level American Express Data Analyst vs Entry Level JPMorgan Data Analyst?

AspectEntry Level American Express Data AnalystEntry Level JPMorgan Data Analyst
Required CredentialsBachelor's degree in Data Science, Finance, or related field; basic SQL and Excel skillsBachelor's degree in Finance, Economics, or related field; knowledge of SQL and data visualization tools
Work EnvironmentCorporate office, collaborative team setting, financial services industryBanking environment, team-based projects, financial industry focus
Employer & Industry UsageAmerican Express, credit card and financial servicesJPMorgan Chase, banking and investment services

Both roles are entry-level data analyst positions within major financial institutions, requiring similar educational backgrounds and technical skills. They operate in corporate banking environments and focus on financial data analysis. The main differences lie in the specific employer and industry nuances, but overall, they offer comparable career paths for aspiring data analysts in finance.

More about Entry Level American Express Data Analyst jobs
What cities are hiring for Entry Level American Express Data Analyst jobs? Cities with the most Entry Level American Express Data Analyst job openings:
What are the most commonly searched types of American Express Data Analyst jobs? The most popular types of American Express Data Analyst jobs are:
What states have the most Entry Level American Express Data Analyst jobs? States with the most job openings for Entry Level American Express Data Analyst jobs include:
Infographic showing various Entry Level American Express Data Analyst job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 81% Full Time, 13% Part Time, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Director, Data Analytics

Director, Data Analytics

American Express

Manhattan, NY • On-site

$186K - $256K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

23rd of 150 rated financial services


Job description


American Express Company seeks Director, Data Analytics to provide data-intensive, strategic assessments of products and respond to portfolio-specific business questions.
Responsibilities
Develop and maintain centralized reporting to support business leaders, including executive dashboards. Support setup of infrastructure for centralized repositories, table views, and data definitions, ensuring consensus on definitions and metrics. Conduct analytics to identify business opportunities and make recommendations. Review data for completeness and accuracy before presentations to senior leaders. Analyze and interpret the results of product experiments. Manage team in geographically diverse locations and coach reports through the analytics lifecycle.
Qualifications
Position requires a Master's degree in Finance, Statistics, Mathematics, Econometrics, Business Administration, Operations Research, Engineering, Computer Science, or a related field, and 2 years of experience performing quantitative business analysis. Experience must include 2 years of experience with each of the following: using Big Data tools including Hadoop, Hive, Python, R, SAS, Scala, Spark, and SQL; analytical and problem-solving skills to break down complex problems into components and solve them using quantitative analysis; data visualization, KPIs, and scorecards; experimental test design; communicating complex technical projects to non-technical, senior-level audiences; and the credit card industry and charge card economics. Telecommuting is available up to 2 days per week.
Job Location: New York, NY
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
• 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, but not limited to, 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.
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 a number of job-related factors, including experience and location.
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