Quant Analytics Associate - SQL, Alteryx & Tableau

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.