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Python Developer

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 2 months ago

No clicks

As a Data Operations Associate / Python Developer, you will collect, analyze, and operationalize data to uncover patterns and drive solutions. You will build graphical visualizations and decision-support dashboards, support predictive model development, and translate stakeholder needs into technical and data requirements. The role requires hands-on Python development, familiarity with data technologies and relational databases, and the ability to deliver insights that inform business strategy and operations.

Compensation
Not specified

Currency: Not specified

City
Manila
Country
Not specified

Full Job Description

Location: National Capital Region, Philippines

Build your career as you dive into the depths of data and find new ways to unlock pathways to transformative solutions. Be part of an innovative team to sculpt dashboards that inform strategic priorities.
Job Summary:
 
As a Data Operations Associate in Complex Product, you play a key role in collecting, analyzing, and utilizing data to uncover patterns and drive solutions. You apply technical knowledge and problem-solving skills across multiple applications, supporting the design and development of metrics reporting and dashboards. You enable Operations Management to execute strategic objectives while ensuring compliance with controls, policies, and procedures. In this role, you collaborate with stakeholders to translate business needs into technical requirements and deliver insights that inform decision making.


Job Responsibilities:
  • Deliver and collect information, insights, and solutions that inform business strategies and decisions
  • Evaluate information and processes for analysis and reporting purposes
  • Validate hypotheses, mitigate risks, and optimize solutions
  • Support the development of predictive models and data insights
  • Build graphical visualizations and decision-support dashboards using business intelligence tools and intelligent automation
  • Gather and collaborate on functional requirements from stakeholders, translating them into technical and data requirements
  • Required qualifications, capabilities, and skills:

  • Five years of experience delivering data-driven problem solving or equivalent experience
  • Proficient Python developer with strong understanding of data structures, control flow, functions, and file handling
  • Proven ability to gather and analyze complex data and support the development of accurate conclusions
  • Experience building graphical visualizations and dashboards using business intelligence tools
  • Experience using at least one data technology tool and understanding relational database systems
  • Intermediate Microsoft Office suite experience
  • Preferred qualifications, capabilities, and skills:

  • Bachelor’s degree
  • Experience with Uipath
  • Drive data analysis and dashboard development to inform strategy and enable operational excellence.

    Python Developer

    Compensation

    Not specified

    City: Manila

    Country: Not specified

    J.P. Morgan logo
    Bulge Bracket Investment Banks

    2 months ago

    No clicks

    at J.P. Morgan

    ExperiencedNo visa sponsorship

    As a Data Operations Associate / Python Developer, you will collect, analyze, and operationalize data to uncover patterns and drive solutions. You will build graphical visualizations and decision-support dashboards, support predictive model development, and translate stakeholder needs into technical and data requirements. The role requires hands-on Python development, familiarity with data technologies and relational databases, and the ability to deliver insights that inform business strategy and operations.

    Full Job Description

    Location: National Capital Region, Philippines

    Build your career as you dive into the depths of data and find new ways to unlock pathways to transformative solutions. Be part of an innovative team to sculpt dashboards that inform strategic priorities.
    Job Summary:
     
    As a Data Operations Associate in Complex Product, you play a key role in collecting, analyzing, and utilizing data to uncover patterns and drive solutions. You apply technical knowledge and problem-solving skills across multiple applications, supporting the design and development of metrics reporting and dashboards. You enable Operations Management to execute strategic objectives while ensuring compliance with controls, policies, and procedures. In this role, you collaborate with stakeholders to translate business needs into technical requirements and deliver insights that inform decision making.


    Job Responsibilities:
  • Deliver and collect information, insights, and solutions that inform business strategies and decisions
  • Evaluate information and processes for analysis and reporting purposes
  • Validate hypotheses, mitigate risks, and optimize solutions
  • Support the development of predictive models and data insights
  • Build graphical visualizations and decision-support dashboards using business intelligence tools and intelligent automation
  • Gather and collaborate on functional requirements from stakeholders, translating them into technical and data requirements
  • Required qualifications, capabilities, and skills:

  • Five years of experience delivering data-driven problem solving or equivalent experience
  • Proficient Python developer with strong understanding of data structures, control flow, functions, and file handling
  • Proven ability to gather and analyze complex data and support the development of accurate conclusions
  • Experience building graphical visualizations and dashboards using business intelligence tools
  • Experience using at least one data technology tool and understanding relational database systems
  • Intermediate Microsoft Office suite experience
  • Preferred qualifications, capabilities, and skills:

  • Bachelor’s degree
  • Experience with Uipath
  • Drive data analysis and dashboard development to inform strategy and enable operational excellence.