Quant Analytics Associate - Offers and Shopping, Digital Analytics

Job Description
We have an exciting and rewarding opportunity for you to take your Analytics career to the next level.
As a Quant Analytics Associate within the Data & Analytics Team, you will deliver timely and actionable insights to drive customer engagement and business performance. You will collaborate with Product, Design, Tech, and Data Analytic teams to define measurable objectives and key results, creating deliverables to track progress. Additionally, you will foster a culture of continuous experimentation by proactively driving the test-and-learn agenda and removing obstacles to innovation.
Job responsibilities

• Synthesize data from multiple sources to identify actionable insights that enhance customer engagement.
• Collaborate with Product and Design teams to test and implement changes that improve user experience and increase adoption.
• Work with UX/UI teams to enhance user experience and boost conversion rates through testing and implementation.
• Analyze web and mobile customer behavior to measure performance and report key trends to senior leadership.
• Evaluate and implement new tools and technologies to improve data collection, analysis, and reporting.

Required qualifications, capabilities, and skills

• Minimum of 4 years of experience in digital, product, or marketing analytics.
• Bachelor's degree in statistics, business analytics, finance, economics, mathematics, or an engineering field with significant quantitative research and data analysis.
• Proficiency in writing code to query data using Snowflake SQL or Python.
• Experience with digital analytics tools such as Adobe Analytics or Google Analytics.
• Ability to work effectively in a fast-paced environment and independently navigate loosely defined business problems.
• Excellent written and verbal communication skills.
• Ability to present data insights to non-technical audiences.

Preferred qualifications, capabilities, and skills

• Master's degree preferred in statistics, business analytics, finance, economics, mathematics, or an engineering field with significant quantitative research and data analysis.
• Experience with experimentation tools such as Split, Optimizely, or Adobe Target.
• Experience in designing analytics implementation to enhance data collection.

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.