Come join a team that improves Chase’s self-service experiences for millions of customers.

As a Quant Analytics Senior Associate on the Digital Analytics Team, you'll support an extensive portfolio by using data to provide recommendations that enhance the customer experience and build long term, profitable customer relationships. You'll be part of a high performing team focused on improving Chase’s web and mobile platforms for millions of customers. 

Your expertise in behavioral data and analytical leadership will be used to help define OKRs, develop and measure A/B tests, answer strategic analytical questions, and create analytical plans to drive outcomes. You will be responsible for delivering actionable analysis in clear and compelling terms while building relationships with Product, Tech, Design, and more.

Job responsibilities:

Analyze, visualize, and tell compelling stories through data about digital customer behaviors Increase data-informed decisions through establishing partnerships, best practices, and clear communications Create experiment and analytical plans to measure the customer impact of new strategies Increase data-informed decisions and experimentation through establishing partnerships, best practices, and clear communications  Identify opportunities to drive business outcomes through OKR development, and deep-dive analysis Provide consultation for the broader Data & Analytics organization as an expert in behavioral and customer journey data

Required qualifications, capabilities, and skills:

Detail-oriented and structured thinker with a passion for analyzing data and providing clear actionable insights Ability to organize complex business problems and translate into analytical plans and execute with high quality Strong communication and presentation skills to deliver insights to executives and partner with other teams Proficiency with SQL Experience with web analytics Bachelor’s degree is required (preferred in data science, mathematics, statistics, econometrics, engineering, or related fields).

Preferred qualifications, capabilities, and skills:

1-3 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., Hadoop, Teradata, Snowflake) Experience with A/B testing Strong slide-writing and presentation skills to deliver analytical insights