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.
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.
Skills Required
- Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Economics, Finance, or related field.
- Minimum 5 years of experience in a financial services organization.
- Strong analytical and problem-solving skills translating business needs into data-driven solutions.
- Advanced proficiency in Microsoft Excel for data analysis and reporting.
- Hands-on experience using Alteryx for analytics and data preparation.
- Hands-on experience using Tableau for analytics and visualization.
- Intermediate to advanced SQL skills 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 ability to explain complex concepts.
- Proven ability to build trusted partnerships and influence stakeholders without direct authority.
- Experience supporting product delivery, experimentation, and continuous improvement initiatives.
- 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.
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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