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
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
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
Required qualifications, skills and capabilities
Bachelor’s degree in a quantitative discipline
3+ years’ professional experience in a data-driven environment
Proficiency or experience with ETL and data visualization tools, e.g., Snowflake, SAS, Python, R, Alteryx, Tableau, Excel, Powerpoint, etc.
Excellent communication and presentation skills
Attention to detail, problem solving, analysis, intellectual curiosity, continuous improvement, risk management