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.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.