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Consulting - Consulting - Analytics - Intern - Summer

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Ernst & Young
Part Time, Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-09-12
Job specializations:
  • Business
    Data Analyst, Business Systems & Technology Analysis
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, Data Science Manager
Salary/Wage Range or Industry Benchmark: 36 - 40 USD Hourly USD 36.00 40.00 HOUR
Job Description & How to Apply Below

USA
- Consulting
- People Consulting
- Analytics
- Intern
- Summer 2027

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.

_________

USA – Consulting – People Consulting – Analytics – Intern – Summer 2027

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

The opportunity

At EY Consulting, we are building a better working world by transforming businesses through the power of people, technology and innovation. Our clients are at the heart of what we do. We’re focused on solving the key issues of our client buyers, building deeper relationships and generating lasting value with significant impact.

Our firm sets the standard for consulting services, fostering an environment that encourages career ownership at every stage. As a part of our team, you'll be at the forefront of this dynamic service line, driving change and delivering solutions that revolutionize business operations. You’ll help our clients with transformation and innovation efforts: driving growth, reducing costs and managing risks proactively.

Your key responsibilities

As an intern in the People Consulting practice, you will assess complex client challenges, benchmark against competitors, advise on leading practices and guide clients through implementations, transactions and transformations. Even in your first year, you will help engagement leaders gather and analyze meaningful data, identify risks, enable successful project management and learn how businesses operate. At EY we trust our employees to deliver exceptional work – allowing entry‑level employees to prove they can perform well beyond their years.

Analytics is revolutionizing many areas of business and the management of people is no exception. We leverage the most advanced modeling tools to help our clients identify the drivers of key workforce processes. Specific examples of work include predicting which potential employees are most likely to succeed, identifying the most effective interventions to retain high performers, ensuring pay equity for all demographics and developing custom analytic solutions for unique client challenges.

Skills and attributes for success

To qualify for the role, you must:

Be pursuing a bachelor’s or master’s degree in analytics, economics, statistics, mathematics, operations research or computer science.

Maintain proficiency with at least one of the following: R, Python, Microsoft Power Bi, Tableau, SQL/SSIS.

Want to work in consulting demonstrated by relevant course work or interest.

Be proficient in translating complex data into actionable insights with the ability to work cross‑functionally.

Understand that the expectation for this role is in person teaming, at a client site or in an EY office, on average 3 days a week depending on the needs of the engagement, project or practice area.

Have 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.

Be able and willing to travel and work in excess of standard hours when necessary. In certain circumstances, travel may be required beyond your work location based on client and project needs.

Be legally authorized to work in the U.S. without the need for employer sponsorship, now and in the future.

Ideally you:

Have a cumulative GPA of 3.2 or higher (on a 4.0 scale).

Have experience with the following: analysis of unstructured text data, social network analysis, GIS analysis, Generative AI tools and data engineering.

Exhibit excellent communication and interpersonal skills, with a talent…

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