2027 Data & Analytics Consulting Intern

About the Role

West Monroe is seeking Consulting Interns to join our Data & Analytics team, aligned with our Technology & Experience (TechEx) Practice. As businesses accumulate vast amounts of data, the challenge lies in extracting actionable insights that drive growth and operational efficiency. Our Data and Analytics Interns play a crucial role in helping clients unlock the full potential of their data through advanced analytics, data science, and data engineering. As a Data & Analytics Consulting Intern, you will combine business acumen with technical problem-solving skills to deliver impactful solutions. This role requires an understanding of business processes, data analysis capabilities, and proficiency in data structures, querying, and programming languages.

Key Responsibilities

Functional Responsibilities

• Collaborate with client executives and team members to understand organizational needs and recommend appropriate data-driven solutions.
• Work closely with West Monroe project team members to deliver valuable outcomes.
• Initiate and complete project tasks under management guidance.
• Evaluate and document client business processes and requirements.
• Develop and test investment hypotheses using data science methodologies to drive actionable insights.
• Assist in the creation of detailed business cases and strategic recommendations.

Technical Responsibilities

• Utilize database development and scripting skills, including SQL, Python, PySpark, and R, for data manipulation and analysis.
• Perform end-to-end data science workflows, from data ingestion and wrangling to analysis and visualization.
• Design and develop reports, dashboards, and visualization tools using platforms like Tableau and Power BI.
• Develop and implement data management, integration, and data science tools, including ETL processes and machine learning models.
• Leverage AI tools to accelerate analysis, synthesize complex information, and support data-driven recommendations for clients, exercising sound judgment in evaluating outputs.
• Apply AI technologies, including generative AI, automation tools, and data models, to enhance insights, improve delivery efficiency, and elevate the quality of client outcomes.

Internal Responsibilities

• Actively participate in West Monroe’s culture and social events.
• Expand your knowledge of data science, analytics, and data engineering methodologies by participating in competency teams and attending learning sessions.

What You’ll Bring To The Team

• Sharp analytical thinking and an interest in solving complex problems.
• Effective written and verbal communication skills.
• A collaborative mindset and enthusiasm for working as part of a team.
• Ability to stay organized and manage priorities in a dynamic environment.
• Demonstrated leadership through academics, extracurricular activities, or prior work experience.
• Curiosity about emerging technologies, including AI, and a passion for continuous learning and innovation.

Requirements & Tech Stack

• Proficiency in data structures, querying, and programming languages like SQL, Python, PySpark, or R.
• Experience integrating AI tools, such as ChatGPT, into day-to-day workflows to enhance productivity and insight generation, coupled with strong critical thinking to assess accuracy, mitigate bias, and ensure high-quality outputs.
• Platforms: Tableau, Power BI.
• Technologies: ETL processes, machine learning models, generative AI, automation tools, data models.

Qualifications

• Bachelor’s degree in progress, with an expected graduation date between December 2027 and August 2028.
• Minimum cumulative GPA of 3.0.
• Legally authorized to work in the United States without limitation or sponsorship now or in the future, including OPT, H-1B, or TN status.
• Reside within 50 miles of your assigned office prior to your start date.
• Ability and willingness to travel up to 50%; travel expenses are covered by West Monroe.

Preferred Qualifications

Majors in:

• Business Analytics
• Computer Science
• Data Engineering
• Data Science
• Economics
• Informatics
• Information Systems
• Statistics