JPMorgan Business Analytics Engineer Vice President 

United States, Illinois, Chicago 

985663123

As a Vice President of Business Analytics Data Engineering within our dynamic Data Modeling team, you will play a crucial role in overseeing Data Procurement, Data Architecture, Data Curation, and the strategic direction of Data Modeling for the Commercial & Investment Bank’s Global Services function. You will collaborate directly with senior stakeholders and technical teams, gaining a deep understanding of core business processes. Your contributions will be vital in the development of people, processes, and technology necessary to support a best-in-class organization. You will also lead the creation of executive presentations that provide insights into the platform's health

Job responsibilities:

• Design, develop, and maintain efficient and scalable data pipelines to support analytics and reporting needs.
• Architect and implement data models and transformations to ensure data is organized and accessible for analysis.
• Participate in Agile development processes, including sprint planning, stand-ups, and retrospectives.
• Develop and maintain the overall data architecture, ensuring it aligns with business requirements and industry best practices.
• Collaborate with data analysts and data scientists to understand data requirements and translate them into technical specifications.
• Work with cross-functional teams to integrate data from various sources and systems, including APIs, KAFKA Streams, NoSQL databases etc
• Work with JSON data structures for data exchange, storage, and processing.
• Optimize data workflows and processes to improve performance, reliability, and scalability.
• Ensure data quality and integrity through validation, testing, and monitoring.
• Stay up-to-date with industry trends and best practices in data engineering, architecture, and analytics.

Required qualifications, capabilities, and skills:

• 6+ years of work experience within Analytics, Information Systems, Operations Research and/or Management Consulting roles.
• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
• Proven experience as an Analytics Engineer, Data Architect, Data Engineer, or in a similar role.
• Strong proficiency in SQL and experience with data modeling and ETL processes.
• Proficiency in working with JSON data structures for data exchange, storage, and processing.
• Experience with data warehousing solutions such as Snowflake, Redshift, or Databricks.
• Experience with programming languages such as Python or R.
• Knowledge of data architecture principles and best practices.
• Experience designing and implementing APIs for data access and integration.

Preferred qualifications, capabilities, and skills:

• Experience with data visualization tools like Tableau, Power BI, or Looker is a plus.
• Work experience in Financial Services is a plus
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Familiarity with NoSQL databases such as MongoDB, Cassandra, or DynamoDB.