Data Science & Reporting

Bring your expertise to a Home Lending Data and Analytics team that partners with sales leaders to solve complex business problems. You'll deliver actionable insights that improve strategy, performance, and customer outcomes. You'll combine strong data skills with business context to drive measurable impact. You'll work in a fast-paced, matrixed environment with close stakeholder partnership and clear ownership of outcomes. If you enjoy turning data into decisions, this role is for you.

Job summary

As a Quantitative Analytics Senior Associate in Home Lending Data and Analytics supporting Sales, you deliver advanced analytics that informs sales strategy and optimization. You combine data manipulation, quantitative analysis, and business judgment to identify opportunities and recommend actions. You build clear reporting and compelling narratives that help stakeholders make decisions with confidence. You explore opportunities to apply automation and artificial intelligence to improve analytics workflows and business outcomes.

Job responsibilities

• Deliver advanced analytics and data-driven solutions for a wide range of home lending sales business challenges
• Explore, assemble, organize, and analyze data using internal and external data sources and tools
• Perform descriptive, diagnostic, and predictive analyses to uncover trends, patterns, and actionable insights
• Create clear visualizations and narratives that communicate insights and recommendations to business stakeholders
• Identify opportunities to enhance business intelligence and automate reporting to support decision-making
• Build analytical frameworks that support strategic and complex business priorities

• Collaborate with business and technology partners to strengthen data foundations and apply artificial intelligence to automate and deliver innovative solutions
  

Required qualifications, capabilities, and skills

• Bachelor's or advanced degree in an analytical field (for example, computer science, economics, mathematics, statistics, engineering, or operations research)
• Two years of experience in data analysis or data science
• Proficiency with SQL for data extraction, transformation, and validation
• Proficiency with Python for analysis and automation
• Proficiency with Microsoft Excel for analysis and reporting
• Experience using data visualization tools to communicate insights
• Strong critical thinking skills, including the ability to connect analysis to business strategy and measurable outcomes
Strong written and verbal communication skills, including data storytelling for business stakeholders

Preferred qualifications, capabilities, and skills

• Experience using cloud platforms for large-scale data processing (for example, Amazon Web Services or Snowflake)
• Experience with Salesforce for lead management and sales workflows
• Experience using GitHub for collaborative analytics and version control
• Strong experience with visualization tools, including products with artificial intelligence and natural-language capabilities
• Experience in financial services, including mortgage business experience

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.