Senior Managers, Data Analytics at American Express Company South Africa

Phoenix, Arizona, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

165000.0

Posted On

22 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Business Analysis, Market Trends, Customer Data, Data-Driven Insights, Big Data, Automation, MS Excel, SQL, SAS, Predictive Models, Machine Learning, Python, R, VBA, Time-Series Analysis

Industry

Financial Services

Description

American Express Travel Related Services Company, Inc. seeks Senior Managers, Data Analytics to drive strategic data analysis and execution efforts to grow card portfolios through data-driven insights. Lead technology-enabled projects that analyze business data, including market trends and customer data, to identify growth opportunities within the existing portfolio and potential new lines of business. Coordinate the execution of strategic initiatives for new business opportunities, leveraging technology, Big Data, and automation. Monitor the performance of key customer segments, reporting on early tenure, high-potential, and high-spending customers, and develop targeted, data-driven engagement strategies. Progress the purchase decision-making process and monitor spend capture to ensure alignment with growth objectives. Collaborate with internal business partners, including sales support teams, to enhance the client experience and grow revenue. Position requires a Master’s degree in Business Administration, Finance, Marketing, Economics, Management Science and Engineering, Statistics, or a related field, and 2 years of experience with data and business analysis. Experience must also include 1 year of experience with each of the following: performing data analysis to gain organizational insights, identify cost reductions, and perform time-series analysis using statistical techniques and tools; leveraging MS Excel to structure data and generate models and reports; utilizing MS Excel, SQL, and Big Data platforms to structure data and generate models and reports; performing data analysis and forecasting using MS Excel, SAS, predictive models, and machine learning tools; and with programming using Hive, Python, R, SAS, SQL, and VBA. Telecommuting is available up to 2 days per week. Job Location: Phoenix, AZ Salary Range: $90,000.00 - $165,000.00 annually We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: 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. US Job Seekers/Employees - Click here to view the “Know Your Rights” poster and the Pay Transparency Policy Statement. If the links do not work, please copy and paste the following URLs in a new browser window: https://www.dol.gov/agencies/ofccp/posters to access the three posters. 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

Drive strategic data analysis and execution efforts to grow card portfolios through data-driven insights. Lead technology-enabled projects that analyze business data to identify growth opportunities within the existing portfolio and potential new lines of business.