Join the Card Data & Analytics: Reporting & Automation Team to drive business growth with impactful insights and recommendations.

As a Quant Analytics Associate in the Card Data and Analytics Team, you'll focus on cross-channel and cross-product analytics and data visualization. You'll analyze customer data across card products, design dashboards using Tableau, and present insights to executive staff. This high-visibility role involves collaborating with senior leaders to contribute innovative ideas and actionable insights, supporting the growth of the Chase credit card business.

Job responsibilities

Design, develop, and maintain customer dashboards for the CCB Card D&A group using Tableau. Analyze Tableau dashboard insights to identify actionable opportunities and monitor initiative effectiveness. Present data and insights in an executive, visualized format. Automate data preparation for dashboards using tools like Alteryx, Snowflake, SAS, and SQL. Identify growth opportunities and communicate recommendations to influence marketing strategies. Collaborate with cross-functional teams to deliver analyses and strategic roadmaps. Identify opportunities to improve marketing cost efficiency and drive sustainable growth.

Required qualifications, capabilities and skills

Minimum 4 years of experience in data visualization and analytics, with strong knowledge of Tableau and Tableau Server. Proficient in analytical and statistical tools such as Alteryx, SAS, and SQL. Excellent communication skills for interacting with leadership and delivering insightful analyses. Skilled in translating metrics into insights and presenting trends in an executive format. Experienced in data automation and ETL tools like Alteryx. Proven ability to analyze large datasets and research data mining issues. Strong problem-solving skills, especially in fast-paced environments.

Preferred qualifications, capabilities and skills

Bachelor's degree in a quantitative field; Master’s in STEM preferred. Experience with digital platforms and tools like Adobe Analytics is a plus. Understanding of key drivers within credit card P&L is preferred. Experience with big data technologies and machine learning is advantageous.