Part Time Hours Associate Banker Countryside jobs at Jpmorgan in United States, Turlock
JPMorgan Part Time hours Associate Banker Countryside United States, California, Turlock
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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
These jobs might be a good fit
Share
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
These jobs might be a good fit
