Data Analyst, Tech Cons - Data & Analytics (Data Arch &...

Data Analyst, Technology Consulting - Data & Analytics (Data Architecture & Engineering) -- Financial Services Office (Senior Manager) (Multiple Positions) (1685942), Ernst & Young U.S. LLP, Columbus (Grandview Heights), OH.u00a0Understand business challenges and address remediations through data architecture and engineering solutions. Work with clients to transform the way they use and manage data by architecting modern data platforms, data products, and data marketplaces providing end-to-end solutions that focus on improving their data supply chain, reengineering processes, enhancing risk control, and enabling information intelligence by harnessing latest advanced technologies. Solve complex issues and drive growth across financial services. Define data and analytic strategies by performing assessments, recommending remediation strategies/solutions based on aggregated view of identified gaps, and designing/implementing future state data and analytics solutions. Manage and coach diverse teams of professionals with different backgrounds. Manage cross functional teams, to ensure project task and timeline accountability. Propose and drive new technologies to enhance or replace existing business processes. Initiate and build thought leadership through white papers, point of views, and proof of concepts. Develop strategies to solve problems logically using creative methods. Engage and influence large teams and functional leaders.u00a0Lead and direct teams of professionals with diverse skills and backgrounds by providing constructive on-the-job feedback/coaching to team members. Develop and maintain long-term client relationships and networks. Manage risk in the delivery of quality client services. Generate and manage new business opportunities.u00a0Full time employment, Monday -- Friday, 40-45 hours per week, 8:30 am -- 5:30 pm.u00a0MINIMUM REQUIREMENTS:u00a0Bachelor's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 8 years of related work experience (of which 5 years must be progressive, post-baccalaureate). Alternatively, Master's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 7 years of related work experience.u00a0u00a0Must have 6 years of experience in one or a combination of the following: the banking, capital markets, insurance, and/or wealth and asset management industry.u00a0Must have 5 years of experience assisting clients with one or a combination of the following: strategic Data Architecture and Engineering, Cloud Data Modernization, Data Products, Data Mesh, Data Fabric, Big Data initiatives and/or Event-driven Architecture.u00a0Must have 5 years of experience with one or a combination of the following: traditional data architecture practices including Master Data Management, Operational Data Analytics, Customer Data Hub, and/or Data Warehousing.u00a0Must have 5 years of experience with Next-Gen platforms including one or a combination of the following:u00a0 Hyperscaler (AWS, GCP, and/or Azure), Snowflake, DataBricks, and/or distributed databases.u00a0Must have 5 years of experience in one or a combination of the following: architecting and designing large data platforms, data warehouses, streaming applications, data ingestion pipelines, data storage patterns, and/or data integration pipelines.u00a0Must have 5 years of combined experience in at least 2 of the following:u00a0- Traditional RDBMS (MS SQL Server, Oracle, MySQL or PostgreSQL)- MPP (Redshift, Synapse, Teradata, Vertica or Netezza)- NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan or Elasticsearch)u00a0- Streaming Pl

Created: 2026-02-20