Quant Analytics Associate - SQL, Tableau, Alteryx

Job Description
We have an exciting opportunity for you to elevate your career in data analytics and make a significant impact within our organization.
As a Quant Analytics Associate within the Consumer and Community Banking Data and Analytics organization, you will support advanced analytics projects across various operational functions, channels, and products. Your role is crucial in enhancing the customer experience by providing comprehensive analytics support to maintain better controls within the firm.
Job Responsibilities:

• Supports and lead partnerships with key Ops stakeholders and Ops Product groups, with a strong understanding of business drivers, underlying data, and processes.
• Provides data and analytics leadership across the servicing organization to support demand mitigation programs.
• Leads the development and reporting of Ops performance metrics and KPIs using analytical tools such as trend analysis, segmentation, and optimization to improve business function performance.
• Analyzes customer interactions across various channels (calls, branch, online, mobile) to understand customer journeys and friction points.
• Manages multiple deliverables focused on gaining insights into various issues and questions that arise through current monitoring processes and enhance existing monitoring processes.
• Prepares and deliver presentations summarizing insights and conclusions for executives in regularly-scheduled analytics meetings.
• Supports the creation of dashboards and visualizations to measure the impact of implemented products and provide management with self-service tools to explore and report on current trends of key metrics.

Required Qualifications, Capabilities, and Skills:

• Minimum Four years of related experience. Bachelor's degree in a quantitative or related field.
• Hands-on experience with Alteryx and Tableau.
• Hands on experience in SQL.
• Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology.
• Ability to communicate effectively with senior leaders to enable collaboration, decision-making, and transparency, with excellent presentation skills.
• Self-motivated, goal-oriented, and able to manage and deliver in an innovation-driven and fast-paced environment.

Preferred Qualifications, Capabilities, and Skills:

• Python programming skills.
• Familiarity with data mining, statistical modeling, machine learning, and other advanced analytics methods.

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.