Data Consultant Intern

Crowe•Chicago, IL

5d•$27 - $42•Onsite

About The Position

Consulting is a dynamic business focused on solving problems for our clients and serving our core markets through innovative solutions. As technology and AI continue to reshape the consulting landscape, we are looking for individuals who are curious, adaptable, and eager to learn. At Crowe, consultants are expected to build both technical and transferable skills, think critically, and use technology to solve real business problems. In this role, you will continuously learn, collaborate across teams, and explore how tools, including emerging AI capabilities, can improve efficiency, insights, and client outcomes. As you grow, you’ll also begin to take ownership of client relationships, contribute to account strategy, and support the delivery of high-impact work. Developing a sense of account leadership, including understanding client needs, ensuring delivery excellence, and building trusted partnerships, is part of what sets successful consultants apart. Success in this role comes from a growth mindset, strong communication skills, advanced critical thinking, and the ability to navigate new challenges with confidence. As a Data Consulting team member in Crowe’s Consulting practice, you will have the opportunity to develop and deliver solutions for clients across multiple industries. This includes advising organizations in designing, developing, and implementing business and technology platforms that provide critical value to their organization. You will work with business and technology teams across the enterprise providing a breadth and depth of experience unlike any other. Join a team of technology leaders that provide our clients with expertise and transformational technology enabling them to thrive in today’s market. Be part of a culture with an innovative environment that empowers you to follow your passion and develop as a leader.

Requirements

Currently pursuing a bachelor’s or master’s degree in one of the following majors: Management/Computer Information Systems, Informatics.
Experience in: Python, R, Visio, Data Integration, Data Analytics, or Data Visualization such as Tableau or Power BI.

Nice To Haves

Create proof of concepts as necessary for architectural vision, strategy, and tool evaluation.
Document, diagram, and present complex/technical material that can be understood by a non-technical audience.
Create and deploy accurate client architecture and analyses in relatively short period of time.

Responsibilities

Serve as subject matter expert on Microsoft BI stack, demonstrating platform capabilities and promoting application of toolset to address business needs and maximize the value realized from technology investment.
Participate in the systems development process, including planning and monitoring systems development efforts, coordinating activities with other groups, reviewing deliverables and communicating status to management.
Lead and provide technical guidance and mentorship to other team members.
Architect, implement, deploy, and support data models and pipelines in an Azure environment.
Proficient in SQL and database design.
Apply problem-solving, analytical, and critical thinking skills to develop effective, technology-enabled solutions to address client challenges, including thoughtfully evaluating outputs from new tools and technologies.
Excellent verbal and written communication skills. Ability to effectively simplify and communicate complex concepts stakeholders.
Ability to work collaboratively across skillsets and geographies. Strong interpersonal skills and team building
Demonstrate curiosity and adaptability by learning new tools and technologies, including AI-enabled capabilities, and applying them to help solve problems.
Build an understanding of how your work contributes to client outcomes and overall business value.
Willingness to travel 60% or more annually.
Working knowledge of relevant rules and regulations, including the Bank Secrecy Act (BSA), USA PATRIOT Act, and Office of Foreign Assets Control (OFAC).