JPMorganChase
Finance Data Analytics Engineer - Vice President
JPMorganChase, Columbus, Ohio, United States, 43224
JOB DESCRIPTION
Join our dynamic team to make a pivotal impact in building a next generation financial data analytics platform for Asset Wealth Management (AWM).As a Finance Data Analytics Engineer at JPMorgan Chase within AWM Finance, you are an integral part of an agile team that works to enhance, build, and automate data collection and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives. The position includes automation of existing manual processes, developing dynamic data visualizations that improve and support business processes, and migrating data / ETL to new cloud platform.The successful candidate must possess strong analytical and problem-solving skills, have the demonstrated ability to mentor and train others, independently prioritize, and manage time, and be able to build relationships with key stakeholders.Job responsibilities:Lead automation projects addressing existing AWM F&BM manual processes by leveraging SSIS, SQL, Python and/or Databricks workflowsBuild and maintain dynamic Tableau and ThoughtSpot dashboards with the goal of eliminating static pdf/excel based reportingTrain and mentor AWM Finance & Business Management (F&BM) colleagues to become self-sufficient in data visualization tools like Tableau and ThoughtSpotIncrease the productivity and decrease the workload of AWM F&BM staff thru automation and process improvementsAssess project requirements and aid in the selection of the right technology tools to support the solution - whether SQL Server, Databricks, Tableau, Python, or ThoughtSpotUnderstand the variety of sources for information and how to strategically source dataWork with key stakeholders (including accounting teams, reporting and analysis teams and F&BM leadership) to prioritize projects, determine requirements for automating existing processes and designing the appropriate solutionConduct unit and integration testing and coordinate User Acceptance TestingPartner effectively across AWM F&BM and Corporate TechnologyRequired qualifications, capabilities, and skills:5+ years of experience in finance, data & analytics, and/or project management within the Financial Services industryDemonstrated Python, SQL Server and Tableau experience is requiredExperience with data warehouse systems, SQL, user access, data mining, and reporting applications/toolsStrong understanding of data, data modeling and database methodologies and architecture disciplinesExperience with Cloud technologies AWS/DatabricksExperience in working with large datasets (millions of records) for data exploration and analysis (e.g., AWS, SQL, Databricks)Versatile in learning and picking up different software, tools, methodology, or coding languages.Preferred qualifications, capabilities, and skills:Financial / Accounting background is a strong plusWorking knowledge of APIs - RESTful APIs, Web ServicesPassion for scaling and automation, with AI experienceThoughtSpot
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Join our dynamic team to make a pivotal impact in building a next generation financial data analytics platform for Asset Wealth Management (AWM).As a Finance Data Analytics Engineer at JPMorgan Chase within AWM Finance, you are an integral part of an agile team that works to enhance, build, and automate data collection and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives. The position includes automation of existing manual processes, developing dynamic data visualizations that improve and support business processes, and migrating data / ETL to new cloud platform.The successful candidate must possess strong analytical and problem-solving skills, have the demonstrated ability to mentor and train others, independently prioritize, and manage time, and be able to build relationships with key stakeholders.Job responsibilities:Lead automation projects addressing existing AWM F&BM manual processes by leveraging SSIS, SQL, Python and/or Databricks workflowsBuild and maintain dynamic Tableau and ThoughtSpot dashboards with the goal of eliminating static pdf/excel based reportingTrain and mentor AWM Finance & Business Management (F&BM) colleagues to become self-sufficient in data visualization tools like Tableau and ThoughtSpotIncrease the productivity and decrease the workload of AWM F&BM staff thru automation and process improvementsAssess project requirements and aid in the selection of the right technology tools to support the solution - whether SQL Server, Databricks, Tableau, Python, or ThoughtSpotUnderstand the variety of sources for information and how to strategically source dataWork with key stakeholders (including accounting teams, reporting and analysis teams and F&BM leadership) to prioritize projects, determine requirements for automating existing processes and designing the appropriate solutionConduct unit and integration testing and coordinate User Acceptance TestingPartner effectively across AWM F&BM and Corporate TechnologyRequired qualifications, capabilities, and skills:5+ years of experience in finance, data & analytics, and/or project management within the Financial Services industryDemonstrated Python, SQL Server and Tableau experience is requiredExperience with data warehouse systems, SQL, user access, data mining, and reporting applications/toolsStrong understanding of data, data modeling and database methodologies and architecture disciplinesExperience with Cloud technologies AWS/DatabricksExperience in working with large datasets (millions of records) for data exploration and analysis (e.g., AWS, SQL, Databricks)Versatile in learning and picking up different software, tools, methodology, or coding languages.Preferred qualifications, capabilities, and skills:Financial / Accounting background is a strong plusWorking knowledge of APIs - RESTful APIs, Web ServicesPassion for scaling and automation, with AI experienceThoughtSpot
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