USA - Assurance - Data and Intelligence Delivery - Analyst

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USA - Assurance - Data and Intelligence Delivery - Analyst

Will you shape the future or will the future shape you?

The opportunity

Now is an exciting time to join the EY Assurance group as we help clients navigate complex technology, AI and data challenges. Our Data and Intelligence Delivery (DID) team specializes in leading and emerging technologies to collect, combine, and explore data to create insights that support our clients' decision-making processes. We assist organizations and EY teams in implementing technologies and AI, improving data integrity and quality, and enabling more reliable reports and insights in accounting, finance, governance, and regulatory matters.

You’ll find that every day at EY is a new opportunity, as you’ll have plenty of variety working across many different sectors, from retail to manufacturing, banking to pharmaceuticals, to energy — where you’ll learn extensively about different workflows and IT infrastructures. We’ll need you to become a specialist, mastering the fundamentals and guiding clients through complex technology and data challenges. You’ll learn a broad range of technology, AI and data science skills; and develop an intimate knowledge of our clients’ systems and processes.

As a DID Analyst, you will be introduced to various service offerings during an extensive on-the-job training program. Once you have developed the necessary skills, you will have the opportunity to assist local and global engagement teams on various projects, ranging from technology builds to analysis to insights generation, depending on your interests and capabilities.

Your Key Responsibilities

• Develop strong relationships among team members and build productive working relationships with clients to deliver exceptional client service.
• Assist in designing, building, testing, and deploying data, analytics, automation, and AI-enabled solutions for EY teams and clients.
• Collect, clean, transform, validate, and analyze structured and unstructured data from multiple business systems.
• Support data engineering activities, including data preparation, pipeline logic, data quality checks, documentation, and reconciliation.
• Work with tools and platforms such as Power BI, SQL, Python, Databricks, GenAI tools, and cloud or data platform technologies.
• Collaborate with team members, engagement teams, and clients to understand business problems and translate them into practical technology solutions.
• Build working knowledge of accounting, finance, governance, regulatory, and assurance-related processes to deliver relevant, high-quality solutions.

Skills and attributes for success

To qualify for the role, you must

• Have or be working toward a bachelor’s or master’s degree in Accounting, Finance, AI, Information Systems, Business Analytics, Data Science, Computer Science, or a related field.
• Strong critical thinking skills, as well as strong verbal and written skills to communicate succinctly with impact.
• Ability and willingness to travel and work in excess of standard hours when necessary.
• Access to reliable transportation to/from the EY office and client sites. A driver’s license is strongly recommended as ride share and public transportation options may not be available in all locations.
• Candidates must be legally authorized to work in the U.S. without the need for employer sponsorship, now and in the future.
• 3.0 cumulative college/university GPA

Ideally, you will have

• Project, internship, academic, or work experience building dashboards, data models, data pipelines, automation workflows, analytics prototypes, or AI-enabled solutions.
• Experience with BI and visualization tools such as Power BI or Tableau
• Experience working with SQL, Python, Databricks, Alteryx, or other data preparation and engineering tools.
• Familiarity with GenAI tools, prompt engineering, LLM-enabled workflows, or AI-assisted analytics.
• Understanding of data quality, data validation, reconciliation, documentation, or controls.
• Interest in accounting, finance, audit, risk, governance, regulatory reporting, or business process improvement.
• Experience working in team-based, fast-paced, client-service, academic project, internship, or consulting-style environments.
• A portfolio, capstone, internship, GitHub project, case competition, dashboard, automation, or class project that shows your ability to learn and build.
• Cumulative college/university GPA of 3.2 or above

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