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Quant Analytics Associate - SQL, Python, Alteryx

at J.P. Morgan

Back to all Data Engineering jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Quant Analytics Associate - SQL, Python, Alteryx

at J.P. Morgan

Mid LevelNo visa sponsorshipData Engineering

Posted 21 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Pune
Country
India

Join the Data and Analytics team for Chase Travel to design, develop, and deploy AI and analytics solutions that drive business impact. Collaborate with cross-functional teams to build large-scale data models and ETL/ELT pipelines, and deliver dashboards and reports using tools like SAS Visual Analytics, QlikSense, and Tableau. Leverage SQL, Python, and Alteryx to perform data engineering, analysis, and post-release tracking to inform the AI roadmap and provide recommendations to stakeholders.

Location: Pune, Maharashtra, India

Join us to drive innovative AI solutions and advance your career in data engineering and analytics

As an Associate in the Data and Analytics team for Chase Travel, you collaborate with cross-functional teams to design, develop, and deploy AI solutions that drive business impact. You leverage data to deliver insights, prioritize AI initiatives, and support the development of our AI roadmap.

Job responsibilities

  • Organize, update, and maintain data to support engineering and analytics functions
  • Develop enterprise data models and design, develop, and maintain large-scale data processing pipelines
  • Collaborate with teams to translate business objectives into data analysis and AI solutions
  • Act as a data expert, providing insights and recommendations to account teams
  • Develop dashboards and reports using tools such as SAS Visual Analytics, QlikSense, and Tableau
  • Assist AI Product teams by providing analytics and guidance to drive and prioritize the AI roadmap
  • Identify and ensure tracking and collection of data points for post-release analysis of AI initiatives
  • Required qualifications, capabilities, and skills

  • Bachelor’s degree in Business Analytics, Data Science, Computer Science, Information Systems, or a related field
  • Four years of experience in designing and implementing data models and analytic solutions
  • Hands-on experience with ETL/ELT processes and architecture in cloud-based data lake platforms such as AWS, Azure, or Snowflake
  • Proficient in SQL, Python, and Alteryx for data analysis, engineering, and transformation
  • Experience with data models and reporting packages like SAS Visual Analytics, QlikSense, or Tableau
  • Strong analytical and problem-solving skills with attention to detail
  • Effective verbal and written communication skills, with the ability to collaborate with stakeholders
  • Preferred qualifications, capabilities, and skills

  • Ability to work on multiple projects and tasks simultaneously
  • Passion for both data engineering and analytics
  • Design and deliver AI and analytics solutions for Chase Travel as a member of our Data and Analytics team

    Quant Analytics Associate - SQL, Python, Alteryx

    at J.P. Morgan

    Back to all Data Engineering jobs
    J.P. Morgan logo
    Bulge Bracket Investment Banks

    Quant Analytics Associate - SQL, Python, Alteryx

    at J.P. Morgan

    Mid LevelNo visa sponsorshipData Engineering

    Posted 21 days ago

    No clicks

    Compensation
    Not specified

    Currency: Not specified

    City
    Pune
    Country
    India

    Join the Data and Analytics team for Chase Travel to design, develop, and deploy AI and analytics solutions that drive business impact. Collaborate with cross-functional teams to build large-scale data models and ETL/ELT pipelines, and deliver dashboards and reports using tools like SAS Visual Analytics, QlikSense, and Tableau. Leverage SQL, Python, and Alteryx to perform data engineering, analysis, and post-release tracking to inform the AI roadmap and provide recommendations to stakeholders.

    Location: Pune, Maharashtra, India

    Join us to drive innovative AI solutions and advance your career in data engineering and analytics

    As an Associate in the Data and Analytics team for Chase Travel, you collaborate with cross-functional teams to design, develop, and deploy AI solutions that drive business impact. You leverage data to deliver insights, prioritize AI initiatives, and support the development of our AI roadmap.

    Job responsibilities

  • Organize, update, and maintain data to support engineering and analytics functions
  • Develop enterprise data models and design, develop, and maintain large-scale data processing pipelines
  • Collaborate with teams to translate business objectives into data analysis and AI solutions
  • Act as a data expert, providing insights and recommendations to account teams
  • Develop dashboards and reports using tools such as SAS Visual Analytics, QlikSense, and Tableau
  • Assist AI Product teams by providing analytics and guidance to drive and prioritize the AI roadmap
  • Identify and ensure tracking and collection of data points for post-release analysis of AI initiatives
  • Required qualifications, capabilities, and skills

  • Bachelor’s degree in Business Analytics, Data Science, Computer Science, Information Systems, or a related field
  • Four years of experience in designing and implementing data models and analytic solutions
  • Hands-on experience with ETL/ELT processes and architecture in cloud-based data lake platforms such as AWS, Azure, or Snowflake
  • Proficient in SQL, Python, and Alteryx for data analysis, engineering, and transformation
  • Experience with data models and reporting packages like SAS Visual Analytics, QlikSense, or Tableau
  • Strong analytical and problem-solving skills with attention to detail
  • Effective verbal and written communication skills, with the ability to collaborate with stakeholders
  • Preferred qualifications, capabilities, and skills

  • Ability to work on multiple projects and tasks simultaneously
  • Passion for both data engineering and analytics
  • Design and deliver AI and analytics solutions for Chase Travel as a member of our Data and Analytics team