Data Scientist Associate Sr
This role focuses on translating complex lending data into strategic insights to optimize marketing campaigns and improve key performance indicators for JP Morgan Chase’s home lending operations. The associate will collaborate closely with cross-functional teams to build analytical frameworks and implement predictive models that directly impact business outcomes.
Skills required
About this role
As a Data Analytics Associate on the Home Lending Data & Analytics team, you will play a pivotal role in deriving actionable insights to support our originations strategy. This position offers an exciting opportunity for career growth and skill development, as you combine quantitative analysis, business acumen, and problem-solving to drive impactful outcomes.
In partnership with Marketing, Product, and other Data & Analytics teams, you will conduct deep-dive analyses to identify drivers of business performance and recommend actions to improve KPIs. You will build analytical frameworks to support strategic priorities and implement predictive analytic models within targeted marketing campaigns.
Job Responsibilities:
- Collaborate with Marketing, Product, and other Data & Analytics partners to define objectives and develop data-driven solutions for complex business challenges.
- Source and integrate data from various platforms to narrate the story of past performance and provide guidance on enhancing business effectiveness in meeting customer needs.
- Perform descriptive, diagnostic, and inferential analyses to uncover trends, patterns, and actionable business insights.
- Identify opportunities with the broader team to develop and enhance dashboards & automated reporting tools to facilitate decision making for business partners.
- Conduct deep-dive analyses to identify and quantify drivers of business performance and recommend actions to improve KPIs.
- Build analytical frameworks to support strategic and complex business priorities.
- Implement predictive analytic models within targeted marketing campaigns, including customer segmentation and forecasting the incremental benefits of marketing efforts.
Required Qualifications, Capabilities, and Skills:
- Bachelor's degree and 2+ years of experience in data analysis, business strategy, or related fields.
- Proficiency using MS Excel, SQL and Python for data manipulation, visualization, and analysis
- Proven ability to connect data analysis to business strategies and deliver results that drive measurable impact.
- Exceptional critical thinking, analytical, and communication skills to effectively deliver insights to technical and non-technical audiences.
- Strong ability to analyze complex problems, dive deep into data, and design innovative solutions. A relentless curiosity to understand the "why" behind data patterns.
Preferred Qualifications, Capabilities, and Skills:
- Experience with cloud platforms (e.g., AWS, Snowflake) for large-scale data processing.
- Familiarity with customer segmentation, targeting, or propensity modeling.
- Background in financial services, mortgage, or related domains is a plus.
***Relocation assistance is not available for this role.
