Growth Analytics Associate for Auto Lending & Partnerships

JPMorgan Chase & Co.

New York (NY)

On-site

USD 90,000 - 130,000

Full time

3 days ago
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Job summary

JPMorgan Chase & Co. is seeking an Associate Data Scientist to empower the Chase Auto sales organization with analytics that drive auto originations through dealer partnerships.

You will partner with cross-functional teams to deliver insights, develop KPI frameworks, and translate complex data into clear narratives for executives and business partners. This role blends data science with business strategy in a fast-paced, entrepreneurial setting.

Qualifications

  • Master’s degree in a related field or at least 2 years of relevant industry experience in data science or analytics.
  • Proficiency in SQL and Python; experience with Tableau and Alteryx.
  • Expertise in data wrangling, including integrating multiple data sources into cohesive datasets and aggregating large datasets for targeted analysis.

Responsibilities

  • Partner with Chase Auto and lines of business (LOBs) to deliver data-driven insights that support strategic growth in auto originations.
  • Develop and refine reporting frameworks and KPIs to evaluate channel effectiveness and partnership performance.
  • Conduct proactive, self-directed analysis of large, complex datasets by forming hypotheses, extracting insights, and communicating findings through clear data visualizations for diverse stakeholders.
  • Shape and prioritize the analytics agenda to align with business strategy and maximize impact.

Skills

SQL
Python
Tableau
Alteryx
Data wrangling
KPI definition
Data storytelling
Executive communication
Analytics
Fast-paced environment

Education

Master’s degree in a related field

Tools

Tableau
Alteryx

Job description

JPMorgan Chase & Co. is seeking an Associate Data Scientist to empower the Chase Auto sales organization with analytics that drive auto originations through dealer partnerships.

You will partner with cross-functional teams to deliver insights, develop KPI frameworks, and translate complex data into clear narratives for executives and business partners. This role blends data science with business strategy in a fast-paced, entrepreneurial setting.

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