Data Scientist Associate Sr - Analytics, SAS, Python

Data Scientist Associate Sr - Analytics, SAS, Python

JPMorgan Chase & Co. is a leading global financial services firm with assets of $2.6 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.

The incumbent will be responsible for analytics that will drive marketing strategy to influence spend engagement for card customers. The candidate should use a combination of complex analytical techniques and business acumen through the lens of marketing and finance to create impact.

Key responsibilities include:

• Will own and support marketing analytics for Affluent Card Products. A key area of analytical exercise is to evaluate effectiveness of marketing campaigns and perform P&L evaluation
• Create accurate and timely analyses on a wide variety of areas including marketing offer operational performance, trend analysis, campaign performance and subscriber behavior and responses to marketing offers
• Develop and maintain operational dashboards to assist business functions
• Partner with cross functional teams such as Finance, Strategy, Product and Customer Care to understand enterprise trends, competitive environment and their impacts on customer behavior and provide conclusions and recommendations to business owners
• Ability to synthesize large volumes of data into meaningful insights and drive actionable strategies in card services.
• Perform advanced analytics (eg: develop customer segmentation) leveraging statistical techniques to develop framework for differentiated offering strategies to drive marketing efficiencies. 
• Interact regularly with business units, understand business goals and priorities and play the role of an effective partner to devise strategies with customer focused analysis and performance to realize growth opportunities. Support business growth targets by understanding business needs and providing concise, insightful and timely analytics for key trends through data analysis
• Must be self-directed, organized and detail oriented as well as have the ability to multitask and work effectively in a fast paced environment

Qualifications:

• BS/BA/MS in an analytical field (e.g., Statistics, Applied Mathematics, Computer Science, Finance) with 6-8 years of relevant experience. 
• Expert in SAS/SQL. Proficiency with programming languages such as R/Python 
• Understanding of digital marketing tools (Google Analytics, Adobe Analytics) is preferred
• Working knowledge of advanced statistical concepts (essential) and machine learning techniques (Nice to have)
• Experience with manipulating large and complex databases and developing appropriate data models to evaluate and solve business problems
• Strong oral and written communication skills
• Experience in summarizing data and building presentations using Powerpoint
• Understanding of credit card P&L is preferred