Data Analyst, Technology Consulting - Data & Analytics (Data Governance & Controls) – Financial Services Office (Manager) (Multiple Positions)

EY's Technology Consulting practice in the Financial Services Office is looking for a Manager-level Data Analyst based in Dallas, TX. In this role, you will shape data strategy, governance, and end-to-end data solutions while leading diverse teams, with up to 60% travel to meet client needs. The position offers a competitive compensation of USD 157,414 per year and a hybrid work model designed to balance collaboration with flexibility. EY emphasizes continuous learning, transformative leadership, and an inclusive culture that values every perspective.

Benefits

• Medical and dental coverage
• Pension and 401(k) plans
• Paid time off options
• Flexible vacation policy
• Time off for EY designated holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence
• Hybrid model that supports collaboration and leadership
• Continuous learning to develop the mindset and skills for future opportunities
• Tools and flexibility to make a meaningful impact in your own way
• Leadership development through insights, coaching, and confidence to lead effectively
• Diverse and inclusive culture that values every voice

Responsibilities

• Collaborate with clients to transform data usage and governance by designing data strategies and delivering end-to-end solutions that improve the data supply chain, reengineer processes, strengthen risk controls, and enable information intelligence with advanced technologies
• Address complex challenges and drive growth across financial services
• Define data and analytics strategies through assessments, remediation recommendations, and future-state solution design
• Lead and coach diverse teams of professionals from varying backgrounds
• Coordinate cross-functional teams to ensure accountability for tasks and timelines
• Propose and implement new technologies to enhance or replace existing processes
• Contribute to thought leadership via white papers, point of views, and proofs of concept
• Develop problem-solving approaches that combine logical reasoning with creative methods
• Engage and influence large teams and functional leaders
• Motivate teams with varied skills and backgrounds
• Deliver high-quality client services by monitoring progress and outcomes
• Demonstrate deep technical capabilities and professional knowledge
• Maintain long-term client relationships and networks
• Cultivate new business development opportunities

Requirements

• Bachelor's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field with 5 years of progressive post-baccalaureate experience; or a Master's degree in a related field with 4 years of related experience
• At least 2 years of experience in the banking, capital markets, insurance or asset management industry
• Distributed processing experience (Spark, Hadoop, or EMR)
• Traditional RDBMS experience (MS SQL Server, Oracle, MySQL, or PostgreSQL)
• MPP experience (AWS Redshift or Teradata)
• NoSQL experience (MongoDB, DynamoDB, Cassandra, Neo4J, or Titan)
• Cloud platforms experience (AWS, Azure, Google Cloud Platform, or Databricks)
• Data governance, lineage and quality tools experience (Collibra, Solidatus, Informatica, Alation, Snowflake, Ab Initio, One Trust, or Big ID)
• At least 3 years of experience using technologies, frameworks or methodologies for data ingestion, storage, mining, warehousing, big data analytics, manipulation, or visualization
• At least 3 years of experience managing teams through a product or project management lifecycle, including requirements, design, development and testing
• At least 3 years of experience quantifying improvements in business areas resulting from optimization techniques using analytics or statistical modeling
• Domestic and regional travel up to 60% to meet client needs
• Employer will accept any suitable combination of education, training or experience