Analytic Solutions Lead: ML & Dashboards for Leaders

J.P. Morgan

New York (NY)

On-site

USD 143,000 - 165,000

Full time

13 days ago

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Job summary

J.P. Morgan is seeking a data analytics specialist to automate recurring reports and build dashboards for the Chase Auto Finance Private Label Captive Finance (PLCF) organization. You will work with users, data scientists, and business stakeholders to design data-based solutions and present findings to senior leaders.

Responsibilities include deploying ML solutions, coordinating cross-functional projects, and publishing data tables with the Data & Analytics teams. Location is 450 W 33rd St, NY.

Qualifications

  • Master's degree in Information Management, Information Technology, or related field.
  • 2 years of experience in analytic solutions, data analysis, or related occupations.

Responsibilities

  • Automate production of recurring reports and dashboards.
  • Develop dashboards for Chase Auto Finance PLCF users.
  • Present to senior leaders in the Chase PLCF organization.
  • Build and implement machine learning solutions into business processes.
  • Collaborate with users, data scientists, and stakeholders to design data-based solutions.
  • Coordinate with cross-functional partners to publish data tables.
  • Manage cross-functional projects to ensure timely delivery and efficient resources.

Skills

SQL
Python
Tableau
Logistic regression
Multivariate regression
Predictive modeling
Excel
Project management (Monday.com)

Education

Master's degree in Information Management / IT

Tools

Tableau Server

Job description

J.P. Morgan is seeking a data analytics specialist to automate recurring reports and build dashboards for the Chase Auto Finance Private Label Captive Finance (PLCF) organization. You will work with users, data scientists, and business stakeholders to design data-based solutions and present findings to senior leaders.

Responsibilities include deploying ML solutions, coordinating cross-functional projects, and publishing data tables with the Data & Analytics teams. Location is 450 W 33rd St, NY.

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