Analyst-Data Science

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. As part of Team Amex, you'll experience this 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.

Business Overview:

• Data Science and Analytics team primarily focuses on International Customer Investment Optimization and Prospect Data Analytics. 

• Team's focus is to help marketing and LFOs drive business by being indispensable partners providing consultation on Return on Investment (ROI), Investment Utilization, Revenue Yield and key performance metrics. 

• Our stakeholders are across the enterprise, including the CEO /CFO, Executive Committee, Enterprise Forecasting, Planning & Analysis, Investor Relations, Marketing, Risk, and the BU CFO teams.

• The key vision of the team is to transform the way data science credibly drives sustainable, long-term growth for the enterprise as early adopters of next-generation technology. We re-invent forecasting, tracking and analytical processes leveraging the latest tools and setting the standard for advanced analytics.

Job Responsibilities:

• Deliver on forecasting & actualization of key Finance & Acquisition KPIs to provide an early read for making agile decisions.

• Support American Express planning process with yearly & long-term forecasts for key metrics.

• Provide insights into welcome offers & incentive investments across international markets.

• Support on LTV, finance profitability models & enable optimization of marketing investments.

• Deliver analytical studies with actionable insights while engaging with partners on their questions.

• Design and deliver high quality business insight suites, scalable solutions, and accurate scorecards in a timely manner.

• Work with cross-functional teams to find opportunities, understand business processes and    propose new solutions.

• Adapt to emerging technology to develop clean well executed concepts and coordinate with cross functional teams on new solutions.

• Analyze the existing environment and derive opportunities, recommend alternative solutions to problems.

• Plan project deliverables, prioritize day-to-day tasks, create project documentation, design, and monitor business performance indicators.

• Attend ad-hoc requests on solution support without impacting quality or timeliness.

Qualifications and Skills Required:

• Bachelors in Statistics/Mathematics/Economics/Engineering with relevant experience.

• Preferred: Post Graduation in Statistics/Mathematics/Economics/Engineering/Management.

• Work Experience: 0-18 months.

• Strong analytical skills combined with excellent presentation and interpersonal skills.

• Working knowledge of Python, MLS, PySpark, SQL, Hive, Google Cloud.

•  Working knowledge of data visualization tools like Tableau and Power BI will be advantage.

• Hands on with data mining, cleansing, extraction/transformation to enable analysis, interpretation, and insights.

• Hands on in modelling, ML, statistics and hypothesis testing techniques.

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 
• Support for financial-well-being and retirement 
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) 
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
• Generous paid parental leave policies (depending on your location) 
• 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

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.  

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.