Are you ready to make a significant impact on Chase's digital customer experience? As a Digital Analytics - Quant Analytics Associate Sr., you'll leverage your expertise in digital data and analytical thought leadership to drive strategic outcomes and enhance customer relationships.

As a Digital Analytics - Quant Analytics Associate Sr. within Chase's Digital Analytics team, you will support an extensive portfolio of digital products by using data to provide recommendations that enhance the customer experience, protect customers from fraud & scam, and build long-term, profitable customer relationships. You will be part of a high-performing team focused on improving the experience for Chase’s 70 million digital customers. Your expertise will be used to help define OKRs, develop and measure A/B tests, scope strategic analytical questions, and create analytical plans providing insights to drive outcomes. You will be responsible for delivering actionable analysis in clear and compelling terms while building relationships with Product, Tech, Design, Strategy, Operations, and more.

Collaborate with cross-functional teams to drive digital CSAT, engagement, and growth through data storytelling, OKR management, and opportunity identification.

Job Responsibilities:

Data Storytelling: Analyze and visualize digital customer behaviors to craft compelling narratives that drive insights and action.OKR Management: Lead the creation, iteration, reporting, and causal analysis of OKRs to track and achieve strategic goals.Data-Driven Decision Making: Foster data-informed decisions and experimentation by establishing strategic partnerships, promoting best practices, and ensuring clear communication.Opportunity Identification: Develop OKRs and conduct deep-dive analyses to uncover opportunities for driving Digital CSAT, Engagement, and Growth.Consultation: Serve as a subject matter expert in Digital data, providing consultation to the broader Data & Analytics organization.Fraud & Scam Pattern Detection: Analyze big and complex data of customer interactions with Chase to identify patterns of fraud & scam activities, driving AI/ML model features and solution recommendation.

Required Qualifications, Capabilities, and Skills:

Detail-oriented and structured thinker with a passion for analyzing data and providing clear actionable insights.Ability to communicate effectively with executives, business, and technical partners.Strong knowledge of SQL combined with experience utilizing efficient queries to pull data from Data Warehouses and/or Data Lakes.Experience with data analytics.Bachelor’s degree is required (preferred in data science, mathematics, statistics, econometrics, engineering, or related fields).

Preferred Qualifications, Capabilities, and Skills:

3 years of experience analyzing customer experiences, digital products/usage, fraud and scam transactions.

Experience with analytical tools such as Python, R, Alteryx, Tableau, and Adobe Analytics.

Experience working with Big Data environments (i.e., Snowflake, AWS).Experience with A/B testing.Strong slide-writing and presentation skills to deliver analytical insights.Self-starter combined with strong analytical and problem-solving capabilities.

 

*** Relocation is not available for this role.