Analyst-Data Science

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

   

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  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.
  

• 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