Government and Public Sector - Service Delivery Center - AI & Data Analyst

Government and Public Sector - Service Delivery Center - AI & Data Analyst

Location:

San Antonio

Other locations:
Primary Location Only

Date:
Feb 17, 2026

Requisition

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

Government and Public Sector – Data Analytics Staff (Data Analyst)

From strategy to execution, the Government and Public Sector practice of Ernst & Young LLP provides a full range of consulting and audit services to help our Federal, State, Local and Education clients implement new ideas to help achieve their mission outcomes. We deliver real change and measurable results through our diverse, high-performing teams, quality work at the highest professional standards, operational know-how from across our global organization, and creative and bold ideas that drive innovation.

We enable our government clients to achieve their mission of protecting the nation and serving the people; increasing public safety; improving healthcare for our military, veterans, and citizens; delivering essential public services; and helping those in need. EY is ready to help our government build a better working world.

EY delivers unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization. We leverage best practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. At EY, our methods are not tied to any specific platforms but rather arrived at by analyzing business needs and making sure that the solutions delivered meet all client goals.

You will help our clients navigate the complex world of modern data science and analytics. We’ll look to you to provide our clients with a unique business perspective on how data science and analytics can transform and improve their entire organization – starting with key business issues they face. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career.

You’ll spend most of your time working with a wide variety of clients to deliver the latest data science and big data technologies and practices to design, build, and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources.

• Applying data mining and statistical analysis techniques like hypothesis testing, segmentation, and modelling to analyze large amounts of data
• Helping our clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models and advising our clients on data mining leading practices
• Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) as appropriate
• Designing, architecting, and developing solutions leveraging big data technology (Open Source, Hortonworks, AWS or Microsoft) to ingest, process and analyze large, disparate data sets to exceed business requirements
• Unifying, enriching, and analyzing customer data to derive new insights and opportunities
• Leveraging in-house data platforms as needed and recommending and building new data platforms/solutions as required to exceed business requirements
• Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions
• Demonstrating deep understanding of and ability to teach data science, concepts, tools, features, functions, and benefits of different approaches to apply them
• Seeking out information to learn about emerging methodologies and technologies
• Clarifying problems by driving to understand the true issue
• Looking for opportunities for improving methods and outcomes
• Applying data driven approach (KPIs) in tying technology solutions to specific business outcomes
• Collaborating, influencing, and…