Profile, wrangle, and prepare data from diverse sources to support analytical efforts; write data transformation logic in languages such as Python, PySpark or SQL.
Conduct business process analysis and identify data needed to support the processes. Determine whether the requested data is fit for use within a given process.
Conduct research and development with emerging technologies, determine their applicability to business use cases, document & communicate their recommended use in the firm.
Work closely with data analytics and data product owner staff across our team to understand requirements and partner to optimize solutions and develop / foster new ideas
Work with Tech, Product and CIB data partners to research, define, and implement use cases
Required qualifications, capabilities, and skills
5+ years of relevant work experience as a software developer, data/ML engineer, data scientist, business intelligence engineer
Minimum of Bachelor’s degree in Computer Science/Financial Engineering, MIS, Mathematics, Statistics or other quantitative subject
Analytical thinking and problem-solving skills coupled with ability to understand business requirements and to communicate complex information effectively to broad audiences
Experience or knowledge in at least one data technology; i.e., data warehousing, ETL, data quality concepts, Business Intelligence tools and analytical tools, unstructured data, machine learning, etc.
Experience using common relational database systems; i.e., Teradata and Oracle with strong SQL skills
Cloud platform knowledge; hands on experience with Databricks or Snowflake
Hands-on experience with data modeling
This role is not remote nor hybrid; this role is 5 days a week in office.
This role is not eligible for visa sponsorship now or in the future. Sponsorship includes, but is not limited to, support for I-983 training plans, F-1/OPT or CPT, H-1B, and any other employment authorization or immigration-related action requiring JPMorganChase sponsorship or intervention.
