Job Description

Help bring clarity to operational questions and turn data into actionable insights that enhance how employees work and how customers are served. You’ll contribute to setting goals, building partnerships, and delivering analyses that support key business metrics. Join a collaborative team where your curiosity and initiative can make a real impact.

As an “Operational Quantitative Analyst – Analyst/Associate” in Data Analytics and Reporting (DART), you will help translate business questions into structured analyses and practical recommendations. You will support initiatives across call center and back-office operations, contributing to improved employee experience and efficiency through data-driven decision making. You will work with stakeholders, learn from experienced analysts, and help maintain high standards of accuracy and timeliness.

Job Responsibilities

- Collaborate with team members and stakeholders to understand business goals and success metrics.

- Assist in framing hypotheses, designing analyses, and preparing clear, actionable reports.

- Support KPI tracking, trend analysis, segmentation, and root-cause investigations.

- Manage assigned analytics tasks and contribute to multiple work streams.

- Seek feedback and guidance to develop your analytics skills and performance.

- Work with cross-functional teams to support decision-making and resource planning.

- Follow risk and control standards; help identify and report issues promptly.

Required Qualifications, Capabilities, and Skills

- Bachelor’s degree in a quantitative or related field with 4+ years or 6+ years of relevant analytics experience in operations.

- Basic understanding of project management and ability to work with guidance on analytics initiatives.

- Good written and verbal communication skills; able to summarize findings for different audiences.

- Familiarity with SQL and data analysis tools.

Preferred Qualifications, Capabilities, and Skills

- Exposure to employee experience, call center, or back-office analytics (through coursework, internships, or projects).

- Experience with reporting and data visualization tools (e.g., Tableau, Alteryx) is a plus.

- Basic knowledge of Python or other programming languages for data analysis.

- Proficiency in applied machine learning for operations (forecasting, NLP, optimization, experimentation, causal analysis).

- Willingness to learn about AWS services and modern cloud data practices.

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.