Digital Channel Analytics, Sr Associate

JPMorgan Chase & Co.; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

JPMorgan Chase & Co. in New York seeks a Quant Analytics Senior Associate on the Digital Analytics team to translate data into recommendations that enhance the customer experience.

You will lead the analytics book of work, define OKRs, develop and measure tests, and collaborate with Digital Product, Tech, Design and Strategy to drive outcomes for Chase's 80+ million digital customers. The ideal candidate has 5+ years in digital analytics, strong storytelling, and proficiency with SAS/SQL and

Qualifications

• 5+ years analyzing customer experiences and digital products/usage.
• Proven ability to solve problems with data and translate numbers into actionable insights.
• Excellent written, verbal and presentation skills across all management levels.
• Experience querying big data platforms and SAS/SQL.
• Experience with digital analytics.
• Bachelor's degree in data science, math, statistics, econometrics, engineering, or related field.

Responsibilities

• Data storytelling to craft narratives that drive actions.
• Lead the creation, iteration, reporting, and causal analysis of OKRs.
• Foster data-driven decisions through strategic partnerships and best practices.
• Identify opportunities to improve Digital CSAT, engagement, and deepen relationships.
• Consult as a subject matter expert in Digital data for the analytics org.

Skills

Data storytelling

OKR management

Data-driven decisions

Opportunity identification

Consultation

Education

Bachelor's degree (data science / math / stats)

Tools

SAS/SQL

Python

R

Alteryx

Tableau

Adobe Analytics

Snowflake

AWS

Job description

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 outcomesfor 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