Senior Analytics & Tableau Lead Engineer

JPMorgan Chase & Co.

Chicago (IL)

On-site

USD 150,000 - 210,000

Full time

4 days ago
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Job summary

JPMorgan Chase & Co. in Chicago is seeking a Lead Software Engineer to guide an agile analytics portfolio, mentor developers, and advance trusted data, modern analytics, and continuous engineering improvements.

You will lead the design and delivery of complex Tableau dashboards, drive data integration across warehouses, and promote AI-assisted development practices with secure coding and testing standards.

Qualifications

  • 8+ years of software engineering experience.
  • Expert Tableau experience with dashboard design and troubleshooting.
  • Experience with data warehouses and diverse databases.
  • APIs experience including REST and BI integrations.
  • Proficiency in Python for analytics and automation.
  • Strong leadership and mentoring abilities.

Responsibilities

  • Lead design, development, and optimization of Tableau dashboards; guide architecture and performance.
  • Deliver embedded Tableau dashboards and workbooks (.twbx, .twb).
  • Explore datasets for trends and insights; build interactive visualizations.
  • Mentor developers through guidance, design reviews, and standards.
  • Partner with data management and technology teams on continuous-improvement roadmap.
  • Lead data integration across warehouses and APIs; use Python for automation.
  • Promote AI-assisted development and secure coding practices within team.
  • Define metrics to monitor health and performance of global operations.
  • Collaborate with senior leaders to advance analytics and operational efficiency.

Skills

Mentoring
Leadership
Python
REST APIs
Data analysis

Tools

Tableau
Qlik Sense
Grafana

Job description

JPMorgan Chase & Co. in Chicago is seeking a Lead Software Engineer to guide an agile analytics portfolio, mentor developers, and advance trusted data, modern analytics, and continuous engineering improvements.

You will lead the design and delivery of complex Tableau dashboards, drive data integration across warehouses, and promote AI-assisted development practices with secure coding and testing standards.

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