What are the responsibilities and job description for the Data Reporting Analyst-Senior Associate position at JPMorgan Chase?
We thrive on curiosity, passion, optimism, and the belief in continuous growth for everyone.
As a Quant Analytics Associate in the Co-brand Analytics & Reporting Automation Team, you will transform data into actionable insights that drive marketing strategies for existing customer engagement. You should have analytical background, proficiency in data processing and visualization, and the ability to collaborate effectively with multiple partners to drive business growth.
Job Responsibilities:
- 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, Tableau, 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