Digital Analytics - Quant Analytics Associate Sr.

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 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 Digital Product, Tech, Design, Strategy, 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.

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.
• Proficiency with SQL.
• Experience with digital 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.
• 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.

 

***Relocation assistance is not available for this role. 

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.