Padmi
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JPMorgan Chase

investment banking · commercial banking

Quant Analytics Associate

MumbaiPosted 2 months ago
Data Science And StatisticsMid-levelFull Time; Regular
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Join the team 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 will collaborate with cross-functional teams to design, develop, and deploy AI solutions that drive business impact. By leveraging data, you will deliver insights, prioritize AI initiatives, and support the development of the AI roadmap. Key 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 Qualification Required: - Bachelors 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 Passion for both data engineering and analytics is preferred, along with the ability to work on multiple projects and tasks simultaneously. Join the team 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 will collaborate with cross-functional teams to design, develop, and deploy AI solutions that drive business impact. By leveraging data, you will deliver insights, prioritize AI initiatives, and support the development of the AI roadmap. Key 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 Qualification Required: - Bachelors 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 Passion for both data engineering and analytics is preferred, along with the ability to work on multiple projects and tasks simultaneously.

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