JPMorgan Part Time hours Associate Banker Countryside 

United States, California, Turlock 

56108549

As a Product Delivery Associate in the AI/ML Solutions - Shared Events and Assets team, you will help design and deliver real-time data streams and derived data assets that support AI/ML and customer experience personalization. You will collaborate across teams to create scalable data solutions, continuously grow your skills, and contribute to the success of a leading global financial institution.

Job responsibilities

• Perform data analysis and exploration using SQL queries to extract insights and patterns
• Develop and implement data quality standards and best practices for data enrichment and analysis
• Design and create data visualizations using tools such as Tableau, Adobe Analytics, and Google Analytics
• Partner with cross-functional teams to deliver robust data solutions that drive business objectives and enable data-driven decision making
• Design and implement complex ETL logic to transform, clean, and enrich source data in real time
• Validate data accuracy and integrity using technical tools
• Create high-quality documentation and host presentations and trainings to encourage utilization of data solutions

Required qualifications, capabilities, and skills

• Proficiency with SQL and understanding of SQL database concepts
• Experience with data transformation and modeling tools such as Databricks and dbt Labs
• Experience with structured data ingestion, transformation, and consumption for analytics, personalization, or machine learning
• Ability to manage multiple priorities and projects simultaneously
• Strong problem-solving skills and attention to detail
• Excellent written and verbal communication skills

Preferred qualifications, capabilities, and skills

• Bachelor’s degree in Computer Science, Information Technology, or related field
• Proficient knowledge of the product development life cycle
• Familiarity with Customer Data Platforms and creation of audiences or derived data features
• Familiarity with analytics visualization tools such as Adobe Analytics or Google Analytics
• Experience in Data Engineering or similar role within a fast-paced environment