Data Analyst - Tech Con - Data and Analytics - Data Arch and Eng - FSO - Mgr - Mult Pos

Overview

Data Analyst - Tech Con - Data and Analytics - Data Architecture and Engineering – Financial Services Office - Manager - Multiple Positions - 1677754 - Ernst and Young U.S. LLP, Dallas, TX.

Date: 20 Jan 2026

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too.

Join us and build an exceptional experience for yourself, and a better working world for all.

Data Analyst - Technology Consulting - Data and Analytics (Data Architecture and Engineering) – Financial Services Office - Manager - Multiple Positions - 1677754 - Ernst and Young U.S. LLP, Dallas, TX.

Understand 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.

Manage and motivate teams with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Maintain long-term client relationships and networks. Cultivate business development opportunities.

MINIMUM REQUIREMENTS:

• Must have a bachelor's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 5 years of progressive, post-baccalaureate related work experience. Alternatively, must have a Master’s degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 4 years of related work experience.
• Must have 3 years of combined experience in the banking, capital markets, insurance, and/or wealth and asset management industry.
• Must have 3 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.
• Must have 3 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.
• Must have 3 years of experience with Next-Gen platforms including one or a combination of the following:
  Hyperscaler (AWS, GCP, and/or Azure), Snowflake, Data Bricks, and/or distributed databases.
• Must have 3 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.
• Must have 3 years of combined experience in at least 1 of the following:
  Traditional RDBMS (MS SQL Server, Oracle, MySQL or Postgre
  
  SQL); MPP (Redshift, Synapse, Teradata, Vertica or Netezza);
  No
  
  SQL (Mongo
  
  DB, Dynamo
  
  DB, Cassandra, Neo4J, Titan or…