Analyst - Data Science

Role overview

Analyst - Data Science at American Express

Responsibilities

• Deliver on forecasting & actualization of key Finance & Acquisition KPIs to provide an early read for making agile decisions.
• Provide insights into welcome offers & incentive investments across international markets.
• Deliver analytical studies with actionable insights while engaging with partners on their questions.
• Work with cross-functional teams to find opportunities, understand business processes and propose new solutions.
• Work

Required qualifications

• 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.
• Minimum qualification: Bachelor's Degree

Employment details

• Location: Gurugram [HR] [India]

Additional role details

• 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.
• Support American Express planning process with yearly & long-term forecasts for key metrics.
• Support on LTV, finance profitability models & enable optimization of marketing investments.
• Design and deliver high-quality business insight suites, scalable solutions, and accurate scorecards in a timely manner.
• 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.
• Bachelors in Statistics/Mathematics/Economics/Engineering with relevant experience.
• Preferred: Post Graduation in Statistics/Mathematics/Economics/Engineering/Management.