What are the responsibilities and job description for the Data Scientist Marketing Analytics Senior Associate - Consumer Bank position at JPMorgan Chase?
We’re driven by curiosity, passion, optimism, and the belief that everybody can grow.
As a Data Scientist Marketing Analytics Senior Associate on the Consumer Bank Marketing Analytics team will be responsible for leading measurement and driving the strategy of Chase’s Consumer Bank marketing campaigns. The results and learnings from these analyses, which seek to quantify both statistical and practical significance, are used to influence future campaigns and to optimize Chase’s multimillion dollar marketing spend. You will provide thought leadership and hands-on expertise to analyze performance of prospect acquisition campaigns that drive incremental high-quality customer growth for the Consumer Bank.
Job Responsibilities:
- Own the analytics strategy and book of work for deepening marketing campaigns including regular campaign performance measurement, unstructured ad hoc analysis of customer behavior, experimental reads, and profitability analysis.
- Consult on experimental design, data collection, and develop new strategies in collaboration with stakeholders and other Data & Analytics teams
- Interpret results and present to stakeholders and senior management including CMO and
- Lead innovation projects to drive more advanced analytics
- Recruit and train talented data professionals from diverse backgrounds and maintain an inclusive team environment across CB Marketing Analytics and CB Test Design teams
- Maintain a rigorous controls environment to ensure accurate and timely results
Required qualifications, capabilities, and skills:
- Bachelor’s or Master’s degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields)
- 3 years of experience in applying statistical methods to real world problems
- 3 years of experience with SQL and at least one of the following analytical tools: SAS, Python, R
- Experience with visualization techniques for data analysis and presentation
- Experience with web analytics tools (Google Analytics, Adobe/Omniture Insight/Visual Sciences, Webtrends, CoreMetrics, etc.)
- Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners
Preferred qualifications, capabilities, and skills:
- Marketing analytics experience preferred
- Tableau preferred
