Building an in-depth understanding of the business you are supporting, the problems they are trying to solve for, and the data assets available.
Collecting and cleaning data from diverse data sources, locating new data sources
Building and testing different approaches (e.g., automation, visualization, descriptive analytics, advanced analytics) to solving business problems, supporting the plan to operationalize and scale prototypes
Effectively communicating proposed solutions and data-driven insights to your project team and stakeholders
Expanding the technical toolkit that Chase uses to solve analytical problems by networking with and learning from experts across the Firm about new, cutting-edge techniques and technologies followed by thorough testing and evaluation in utilizing these approaches for project work
Required Qualifications, Skills and Capabilities:
8 - 11 years of experience in Data science industry
Outstanding analytical, quantitative, problem solving and communication abilities
Experience in the following statistical software packages: SAS, Python or R
Familiarity with Data Visualization tools such as Tableau, Alteryx, QlikView, etc. (certification preferred)
Familiarity with SQL, RDBMS/NOSQL concepts
Experience with MS Excel
Knowledge of advanced statistical techniques, predictive modeling and machine learning