As a Data Analyst, you will understand business challenges and address remediations through data architecture and engineering solutions, working with clients to transform the way they use and manage data. You will also manage and coach diverse teams of professionals, define data and analytic strategies, and propose and drive new technologies to enhance or replace existing business processes.
Requirements
- Bachelor's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field
- 5 years of progressive, post-baccalaureate related work experience
- 3 years of combined experience in the banking, capital markets, insurance, and/or wealth and asset management industry
- 3 years of experience assisting clients with strategic Data Architecture and Engineering, Cloud Data Modernization, Data Products, Data Mesh, Data Fabric, Big Data initiatives, and/or Event-driven Architecture
- 3 years of experience with traditional data architecture practices including Master Data Management, Operational Data Analytics, Customer Data Hub, and/or Data Warehousing
- 3 years of experience with Next-Gen platforms including Hyperscaler (AWS, GCP, and/or Azure), Snowflake, DataBricks, and/or distributed databases
- 3 years of experience in architecting and designing large data platforms, data warehouses, streaming applications, data ingestion pipelines, data storage patterns, and/or data integration pipelines
- 3 years of combined experience in at least 1 of the following: traditional RDBMS, MPP, NoSQL, Streaming Platform and Applications, DevOps, Data Modeling
Benefits
- Comprehensive compensation and benefits package
- Medical and dental coverage
- Pension and 401(k) plans
- Paid time off options
- Flexible vacation policy
- EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence