JPMorganChase Commercial & Investment Bank Analytics team is looking to identify and implement solutions to streamline and optimize data curation, modeling and delivery to help BI and Analytics teams effectively and efficiently use data to drive business value and innovation.
Requirements
- Strong proficiency in SQL and Python for data analysis and discovery
- Experience with cloud databases such as Databricks, Snowflake, and Redshift
- Expertise in data modeling, including the creation of ice-berg entities and adherence to data vault models
- Familiarity with data ingestion patterns and tools, including Kafka, AWS Streaming, and batch processing
- Proficiency in using Python, Alteryx, Tableau for data wrangling
Responsibilities
- Gather requirements, architect and implement data models within a data mesh framework to facilitate efficient data curation.
- Oversee data management processes, ensuring data integrity and compliance with firmwide governance policies.
- Closely work with platform data architects to design consumption data models (Data Vaults)
- Collaborate with cross-functional teams to align data strategies with business objectives and drive continuous improvement in data processes.
Other
- 5+ years of experience in data analysis, solution development, and implementations within financial services or technology consulting
- Bachelor's degree in Data Science, Computer Science, or related field
- Excellent analytical, problem-solving, and communication skills
- Ability to work independently and collaboratively within and across teams
- Experience in Banking, particularly in Corporate Lending
