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Software Engineer III - BI Developer & Data Analyst

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 3 days ago

No clicks

**Software Engineer III - BI Developer & Data Analyst** in Chicago, IL. Maintain Alteryx workflows, develop & manage Tableau dashboards, assist in Agile backlog refinement. Proficient in Python integration in Alteryx, data warehousing, complex SQL queries, and acting as a data-driven innovator. Leverage AI-assisted development tools.

Compensation
Not specified

Currency: Not specified

City
Chicago
Country
United States

Full Job Description

Location: Chicago, IL, United States

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.


As a Software Engineer III at JPMorgan Chase within Global Banking and Payments Technology, you will be responsible for maintaining workflows using Alteryx, supporting the team in developing new dashboards, and maintaining existing dashboards using Tableau. You will assist the team lead with backlog refinement and request prioritization. You should bring strong design and development experience and have worked in an Agile environment with continuous integration and delivery. You will also help promote UI and UX standardization across all visualizations.

Job responsibilities

  • Maintain and enhance existing Alteryx workflows
  • Develop new dashboards and maintain existing dashboards using Tableau
  • Assist the team lead with backlog refinement and prioritizing requests
  • Collaborate with cross-functional teams to gather data, analyze processes, and recommend improvements to strengthen the control environment
  • Design and develop workflows that consume and publish to API endpoints
  • Thoroughly test dashboards for functionality, data inconsistency, and performance issues
  • Proactively identify hidden problems and patterns in data and use insights to improve coding hygiene and system architecture
  • Promote UI/UX standardization across all visualizations
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Contribute to software engineering communities of practice and events that explore new and emerging technologies

 

Required qualifications, capabilities, and skills

  • Formal training or certification on Software Engineering concepts and 3+ years applied experience
  • Strong experience working with data wrangling tools like Alteryx
  • Working experience integrating Python in Alteryx
  • Strong data warehouse concepts, including writing complex SQL queries with multiple joins to automate/manipulate extracts in Alteryx/macros
  • Experience in developing medium to complex Tableau dashboards
  • Good understanding of data warehouse concepts and working experience in relational and dimensional modeling
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
  • Strong design and development experience and experience working in an Agile environment with continuous integration and delivery (CI/CD)

 

Preferred qualifications, capabilities, and skills

  • Experience with additional BI tools (Qlik Sense, Grafana, etc.)
  • Experience converting ideas into quick mockups for presentation
  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies

 

Promote data workflows and dashboards, refine backlog priorities, and champion consistent user interface and experience standards.

Software Engineer III - BI Developer & Data Analyst

Compensation

Not specified

City: Chicago

Country: United States

J.P. Morgan logo
Bulge Bracket Investment Banks

3 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Software Engineer III - BI Developer & Data Analyst** in Chicago, IL. Maintain Alteryx workflows, develop & manage Tableau dashboards, assist in Agile backlog refinement. Proficient in Python integration in Alteryx, data warehousing, complex SQL queries, and acting as a data-driven innovator. Leverage AI-assisted development tools.

Full Job Description

Location: Chicago, IL, United States

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.


As a Software Engineer III at JPMorgan Chase within Global Banking and Payments Technology, you will be responsible for maintaining workflows using Alteryx, supporting the team in developing new dashboards, and maintaining existing dashboards using Tableau. You will assist the team lead with backlog refinement and request prioritization. You should bring strong design and development experience and have worked in an Agile environment with continuous integration and delivery. You will also help promote UI and UX standardization across all visualizations.

Job responsibilities

  • Maintain and enhance existing Alteryx workflows
  • Develop new dashboards and maintain existing dashboards using Tableau
  • Assist the team lead with backlog refinement and prioritizing requests
  • Collaborate with cross-functional teams to gather data, analyze processes, and recommend improvements to strengthen the control environment
  • Design and develop workflows that consume and publish to API endpoints
  • Thoroughly test dashboards for functionality, data inconsistency, and performance issues
  • Proactively identify hidden problems and patterns in data and use insights to improve coding hygiene and system architecture
  • Promote UI/UX standardization across all visualizations
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Contribute to software engineering communities of practice and events that explore new and emerging technologies

 

Required qualifications, capabilities, and skills

  • Formal training or certification on Software Engineering concepts and 3+ years applied experience
  • Strong experience working with data wrangling tools like Alteryx
  • Working experience integrating Python in Alteryx
  • Strong data warehouse concepts, including writing complex SQL queries with multiple joins to automate/manipulate extracts in Alteryx/macros
  • Experience in developing medium to complex Tableau dashboards
  • Good understanding of data warehouse concepts and working experience in relational and dimensional modeling
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
  • Strong design and development experience and experience working in an Agile environment with continuous integration and delivery (CI/CD)

 

Preferred qualifications, capabilities, and skills

  • Experience with additional BI tools (Qlik Sense, Grafana, etc.)
  • Experience converting ideas into quick mockups for presentation
  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies

 

Promote data workflows and dashboards, refine backlog priorities, and champion consistent user interface and experience standards.