Data Science Analyst - SQL, Python

Job Description
Join our team to transform data into insights, driving business breakthroughs and enhancing client experiences.
As a Data Scientist within the Product Analytics team, you will leverage data to identify \"aha!\" moments and enable business breakthroughs. You will be central in understanding investment customers' financial needs and interactions with our products, services, channels, and Advisors.
Job Responsibilities

• Search for collections of behaviors and events to enable timely, relevant outreach.
• Analyze drivers of sales team performance to understand acquisition, deepening, and retention outcomes.
• Predict a segment's unique financial needs to improve engagement with new clients.
• Overlay customer and channel behaviors to optimize staffing.
• Provide expertise in data visualization, machine learning, and text analytics/NLP to optimize sales performance.
• Create self-serve tools for real-time decision-making.
• Identify potential attrition events and determine effective counteraction timing.

Required Qualifications, Capabilities, and Skills

• Unique combination of technical skills, mathematical know-how, storytelling, and intuition.
• Programming skills in R, Python, and Java for computational aspects and statistical models.
• Ability to apply machine learning, deep learning, and AI technologies appropriately.
• Problem-solving focus beyond model performance curves.
• Independent and collaborative thinking to implement creative solutions.
• Ability to summarize key information and present recommendations to influence senior management.

Preferred Qualifications, Capabilities, and Skills

• Experience in insights functions at financial services, consulting firms, or marketing agencies.
• Experience in workforce analytics, sales performance analytics, or sales science organizations.
• Proficiency in big data disciplines, Agile methodologies, and new technologies.
• Proficiency with BI tools like Tableau and Shiny Dashboards.

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.