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Digital Channel Analytics, Sr Associate
senior · Data Science & Analytics
Job Summary:
As a Quant Analytics Senior Associate on the 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. In this role, you will be the driver of the analytics book of work that is transforming Chase’s cross-channel, cross-line of business strategy to a hyper-personalized, data-driven, customer centric model.
Your expertise in digital data and analytical thought leadership 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 for Chase’s 80+ million digital customers. You will be responsible for delivering actionable analysis in clear and compelling terms while building relationships with Digital Product, Tech, Design, Strategy and more. The ideal candidate should be self-driven and independent, motivated to establish and grow a platform to push the business forward.
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 Deepening
- Consultation: Serve as a subject matter expert in Digital data, providing consultation to the broader Data & Analytics organization.
Required qualifications, skills, and responsibilities:
- 5+ years of experience analyzing customer experiences, digital products/usage
- Proven track record of problem-solving using data and building new analytics capabilities. Talent for translating numbers into an actionable story for business leaders
- Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners
- Experience in querying big data platforms and SAS/SQL
- Experience with Digital Analytics
- Bachelor’s degree is required (preferred in data science, mathematics, statistics, econometrics, engineering, or related fields).
Preferred qualifications, skills, and responsibilities:
- Hands-on experience with generative AI solutions, including large language models, retrieval-augmented generation, and agentic AI frameworks.
- 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