JPMorgan Chase—Digital Client Services - Product Associate

Job description

Description: You are a strategic thinker passionate about driving solutions through data, analytics, and client-focused innovation. You thrive in fast-paced environments, enjoy solving complex business challenges, and are energized by working across business, operations, technology, and AI/ML teams. As a Business Analyst within our Digital Client Services (DCS) Product Team, you will spend each day defining, refining, and delivering data-driven products that improve operational performance and client experience. You will play a key role in the development of SONIC, our client analytics platform, by partnering with stakeholders to transform data into actionable insights and measurable business outcomes. Job Responsibilities - Partner with business and data owners to identify, define, and deliver key metrics that measure operational performance and client experience. - Gather, analyze, and document business requirements, processes, risks, issues, and data flows to support product delivery. - Perform business and data analysis to uncover trends, opportunities, and actionable insights. - Define and maintain data taxonomy, business rules, and data requirements across functional teams. - Develop dashboards, reports, and visualizations that support strategic decision-making. - Create rapid prototypes and proof-of-concepts to validate solutions and accelerate product development. - Generate data-driven insights through historical analysis, trend identification, and performance measurement. - Collaborate with business, operations, technology, and design teams to deliver innovative client service solutions. - Partner with AI/ML and data science teams to enhance analytics capabilities and product offerings. - Support end-to-end product delivery, testing, implementation, and change management activities. - Influence stakeholders and drive successful deployment of analytics products across global teams. Required Qualifications, Capabilities and Skills - Bachelor's degree in a quantitative discipline such as Engineering, Mathematics, Statistics, Computer Science, Economics, Finance, or a related field. - Minimum 5 years of experience in a financial services organization. - Strong analytical and problem-solving skills with experience translating business needs into data-driven solutions. - Advanced proficiency in Microsoft Excel for data analysis and reporting. - Hands-on experience using Alteryx and Tableau for analytics and visualization. - Intermediate to advanced SQL skills with experience querying and analyzing large datasets. - Experience performing business analysis, data mining, and data interpretation. - Ability to work independently while managing multiple priorities and stakeholders. - Excellent written and verbal communication skills with the ability to explain complex concepts clearly. - Proven ability to build trusted partnerships and influence stakeholders without direct authority. - Experience supporting product delivery, experimentation, and continuous improvement initiatives. Preferred Qualifications, Capabilities and Skills - Experience with Python or R for analytics, automation, or statistical analysis. - Exposure to AI and Machine Learning concepts and working with data science teams. - Experience in rapid prototyping, experimental design, or agile product development environments. - Knowledge of client experience measurement and service performance analytics. - Familiarity with data architecture, data governance, and data quality frameworks. - Experience developing analytics products or business intelligence solutions. - Advanced degree in a quantitative or business-related discipline is a plus.