Entry Level American Express Data Analyst Jobs in Edison, NJ

American Express Travel Related Services Company, Inc. seeks Senior Analysts, Data Science to review existing data systems designs based on analyzed data to help streamline data reporting processes. 

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.

Position requires a Bachelor's degree in Statistics, Mathematics, Data Science, Data Analytics, Business Intelligence, Computer Science, Engineering, Information Systems, or a related field, and 3 years of experience with analyzing customer data to identify trends and develop business strategies. Experience must include 1 year of experience with each of the following: developing data-driven strategic initiatives to enhance business performance; analyzing complex financial datasets and performing data mining to identify commercial trends; creating, maintaining, and optimizing business intelligence systems, dashboards, and reporting frameworks using MS Excel; data visualization tools, including MS Excel and PowerBI; process automation using Power Automate to streamline recurring analytics and reporting workflows; preparing and maintaining technical documentation of data pipelines, methodologies, and analytical logic for auditability and knowledge sharing; utilizing data analysis tools, including Google Big Query, Hive, MySQL Server, Numpy, Pandas, PySpark, Python, Spark, and SQL. 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.

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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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Analyze customer data to develop data-driven business strategies. Update business intelligence tools, databases, dashboards, systems, and methodologies. Partner with cross-functional business teams, including Finance, Travel & Lifestyle Services, Insurance, and other enterprise stakeholders, to deliver analytics, reporting and insight initiatives that inform strategic planning and performance monitoring.