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JPMorganChase Logo

Data Scientist Associate Sr

JPMorganChase

Salary not specified
Aug 27, 2025
Plano, TX, US
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The Home Lending Data & Analytics team needs to define objectives and develop data-driven solutions for complex business challenges, source and integrate data from multiple platforms to narrate the story of past performance, and provide guidance on enhancing business effectiveness.

Requirements

  • 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.
  • Strong ability to analyze complex problems, dive deep into data, and design innovative solutions.
  • Experience with cloud platforms (e.g., AWS, Snowflake) for large-scale data processing.
  • Familiarity with customer segmentation, targeting, or propensity modeling.

Responsibilities

  • 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.

Other

  • Collaborate with Marketing, Product, and other Data & Analytics partners to define objectives and develop data-driven solutions for complex business challenges.
  • Exceptional critical thinking, analytical, and communication skills to effectively deliver insights to technical and non-technical audiences.
  • A relentless curiosity to understand the "why" behind data patterns.
  • Background in financial services, mortgage, or related domains is a plus.
  • Relocation assistance is not available for this role.