Data Scientist Senior Associate Digital Platforms

As a Quant Analytics Senior Associate on the Digital Analytics team you will support a broad portfolio of digital products by translating customer and product data into recommendations that improve the customer experience and drive long-term profitable relationships. You will own key components of the analytics book of work supporting Chases cross-channel crossline of business evolution toward a hyper-personalized data-driven customer-centric model.

You will apply deep expertise in digital data to help define and operationalize OKRs design and measure A/B tests scope strategic analytical questions and build analytical plans that generate clear decision-ready insights for Chases 75 million digital customers. Success in this role requires strong storytelling and stakeholder managementpartnering closely with Digital Product Technology Design Strategy and adjacent teamsto deliver actionable analysis with clarity rigor and influence. The ideal candidate is self-directed independently drives workstreams end-to-end and is motivated to build and scale analytics capabilities that move the business forward.

Job Responsibilities

• Data storytelling:Analyze and visualize digital customer behavior to produce clear narratives insights and recommendations that drive action.
• OKR development & performance measurement:Support the creation iteration reporting and causal analysis of OKRs; monitor performance and surface drivers of results.
• Experimentation & decision support:Enable data-informed decision-making by identifying test opportunities partnering on experiment design and delivering readouts that are statistically sound and easily understood by stakeholders.
• Opportunity identification:Conduct deep-dive analyses to uncover opportunities to improve Digital CSAT engagement and deepening; quantify impact and prioritize opportunities with partners.
• Consultation & enablement:Serve as a trusted analytics partner and subject matter resource on digital data measurement approaches and best practices across the broader Data & Analytics organization.

Required Qualifications Skills and Experience

• 3 years of experience analyzing customer experiences and/or digital product usage.
• Demonstrated track record of solving ambiguous problems with data and building/expanding analytics capabilities.
• Strong ability to translate quantitative findings into concise actionable recommendations for business leaders.
• Excellent written and verbal communication skills with experience influencing stakeholders across levels and functions.
• Proficiency querying large data platforms usingSQL and/or SAS.
• Experience withdigital analyticsmeasurement and interpretation.
• Bachelors degree required (preferred: data science mathematics statistics econometrics engineering or related field).

Preferred Qualifications Skills and Experience

• Hands-on experience with generative AI solutions (e.g. LLMs retrieval-augmented generation agentic AI frameworks).
• Experience with tools such asPython R Alteryx Tableau and Adobe Analytics.
• Experience in Big Data environments (e.g.Snowflake AWS).
• Experience designing executing and analyzingA/B tests.