J.P. Morgan
Lead Data Engineer- BI/Data Visualization
J.P. Morgan, Jersey City, New Jersey, United States, 07390
Overview
Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Business Intelligence Engineer at JPMorgan Chase within the Commercial & Investment Bank - Payments Technology team, you will play a key role in designing, developing, and maintaining business intelligence solutions that drive data-driven decision-making. You will apply your data engineering expertise and great eye for design to build state of the art analytics, data visualization, and reporting solutions. Responsibilities
Design, develop and maintain business intelligence dashboards, reports, and visualizations using tools like ThoughtSpot, Tableau, Sigma Computing, Power BI, or Qlik Innovate new ways to present data and insights through compelling visualizations by exploring and experimenting with Payments Data Design and implement data models and ETL processes to support BI solutions Collaborate with stakeholders to gather and analyze business requirements for reporting and analytics Optimize and enhance existing BI solutions for performance and scalability Ensure data accuracy and integrity through validation and quality checks Conduct data analysis to identify trends, patterns, and insights Integrate and normalize data from multiple sources to create a unified view for reporting Provide technical guidance and mentorship to junior data engineers and BI engineers Stay updated with industry trends and best practices in business intelligence, data visualization, and design thinking Support ad-hoc reporting and data requests from business users and document BI processes, workflows, and technical specifications Required qualifications, capabilities, and skills
Formal training or certification on data engineering concepts and 5+ years applied experience Proven experience in business intelligence development and data visualization Proficiency in BI tools such as ThoughtSpot, Tableau, Sigma Computing, Power BI, or Qlik Advanced hands on SQL skills for data querying and manipulation Hands on experience with UI and UX design principles Experience with "design thinking" and Agile development methodologies Experience with data modeling and ETL processes Knowledge of data warehousing concepts and architectures Hands on experience with data validation and quality assurance processes Preferred qualifications, capabilities, and skills
Fluency in Python or Pyspark for data exploration, data visualization, and building ETL pipelines Experience building pipelines in Databricks or similar platforms Formal training in UI and UX design principles Experience with data science and machine learning concepts
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Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Business Intelligence Engineer at JPMorgan Chase within the Commercial & Investment Bank - Payments Technology team, you will play a key role in designing, developing, and maintaining business intelligence solutions that drive data-driven decision-making. You will apply your data engineering expertise and great eye for design to build state of the art analytics, data visualization, and reporting solutions. Responsibilities
Design, develop and maintain business intelligence dashboards, reports, and visualizations using tools like ThoughtSpot, Tableau, Sigma Computing, Power BI, or Qlik Innovate new ways to present data and insights through compelling visualizations by exploring and experimenting with Payments Data Design and implement data models and ETL processes to support BI solutions Collaborate with stakeholders to gather and analyze business requirements for reporting and analytics Optimize and enhance existing BI solutions for performance and scalability Ensure data accuracy and integrity through validation and quality checks Conduct data analysis to identify trends, patterns, and insights Integrate and normalize data from multiple sources to create a unified view for reporting Provide technical guidance and mentorship to junior data engineers and BI engineers Stay updated with industry trends and best practices in business intelligence, data visualization, and design thinking Support ad-hoc reporting and data requests from business users and document BI processes, workflows, and technical specifications Required qualifications, capabilities, and skills
Formal training or certification on data engineering concepts and 5+ years applied experience Proven experience in business intelligence development and data visualization Proficiency in BI tools such as ThoughtSpot, Tableau, Sigma Computing, Power BI, or Qlik Advanced hands on SQL skills for data querying and manipulation Hands on experience with UI and UX design principles Experience with "design thinking" and Agile development methodologies Experience with data modeling and ETL processes Knowledge of data warehousing concepts and architectures Hands on experience with data validation and quality assurance processes Preferred qualifications, capabilities, and skills
Fluency in Python or Pyspark for data exploration, data visualization, and building ETL pipelines Experience building pipelines in Databricks or similar platforms Formal training in UI and UX design principles Experience with data science and machine learning concepts
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