Transform data into actionable insights that drive marketing strategies for existing customer engagement and contribute to the sustainable growth of Chase's credit card business.
Requirements
- Proficiency or experience with ETL and data visualization tools, e.g., Snowflake, SAS, Python, R, Alteryx, Tableau, Excel, Powerpoint, etc.
- 3+ years’ professional experience in a data-driven environment.
Responsibilities
- Utilize Snowflake, SAS, Python, R, Alteryx, and other ETL tools to extract and analyze data.
- Convert data into actionable insights; integrate structured and unstructured data from multiple sources to uncover meaningful trends and patterns that inform marketing strategies and acquisition forecasts.
- Define appropriate key performance indicators to track business performance, and develop consistent, reliable, and informative reports.
- Translate data using Tableau, Excel, Powerpoint, and other data visualization tools to effectively communicate insights and tell compelling stories.
- Develop an understanding of existing process flows for Card acquisition and offers reporting/analysis.
- Develop and implement data-driven recommendations to streamline processes and enhance operational efficiency.
- Partner with Finance, Risk, Marketing, and Product teams to improve processes and procedures related to the development, and P&L forecast, of initiatives aimed at driving sustainable growth of the credit card business.
Other
- Bachelor’s degree in a quantitative discipline.
- Excellent communication and presentation skills.
- Attention to detail, problem solving, analysis, intellectual curiosity, continuous improvement, risk management.
- Experience in marketing analytics or related field.
- Ability to work collaboratively in a team environment.
