Analyst, Data Analytics at American Express Company South Africa

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

22 Feb, 26

Salary

124750.0

Posted On

24 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Data Visualization, Machine Learning, IT Project Management, Python, R, Business Intelligence, MS Excel, MS Access, Snowflake, Tableau, Agile Methodologies, C++, MySQL Server, SAS, SQL

Industry

Financial Services

Description

American Express Company seeks Analyst, Data Analytics to Analyze, interpret, organize, and visualize large amounts of data to develop data-driven business strategies. Translate statistics into data visualizations, including graphs, dashboards, and other reporting, for decision-making. Devise data visualization design and principles, including designing static, animated, and interactive visualizations. Support data analytics, database management, and process automation improvements. Partner with business teams across the enterprise to implement strategic data science initiatives. Position requires a Master’s degree in Statistics, Mathematics, Data Science, Business Intelligence, Information Management, or a related field, and 2 years of experience with analyzing customer data to identify trends and develop business strategies. Experience must include 2 years of experience with each of the following: machine learning, Rally, and delivery concepts; IT project management; using Python and R for data analysis and data automation; creating and maintaining business intelligence systems, including MS Excel spreadsheets and MS Access databases; data visualization tools, including Snowflake and Tableau; and Agile methodologies, C++, erwin, MySQL Server, Python, R, RBDMS, SAS, Scrum methodologies, and SQL. Telecommuting is available up to 2 days per week. Job Location: New York, NY Salary Range: $109,491.00 to $124,750.00 annually 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%25 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 above 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. #LI-DNI #FB-DNI #IN-DNI #TW-DNI #GD-DNI

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Responsibilities

Analyze and visualize large amounts of data to develop data-driven business strategies. Partner with business teams to implement strategic data science initiatives.