BI Data Quality Intern

Barry-Wehmiller • St. Louis, MO

21h • Onsite

About The Position

Barry-Wehmiller Companies, Inc. (http://www.barry-wehmiller.com) is a diversified global supplier of manufacturing technology and services across a broad spectrum of industries. Through our vision of “Achieving Principled Results on Purpose,” we remain committed to the creation of a business legacy that blends our unique focus on people-centric leadership with disciplined operational strategies and purpose-driven growth. This strategy has sustained a healthy pattern of nearly 20 percent compound annual growth for more than 30 years and has helped transform Barry-Wehmiller into a well-balanced and financially solid company with revenues surpassing $3.0 billion and more than 12,000 team members around the world. The Data Quality Intern will assist in ensuring the accuracy and reliability of Barry Wehmiller’s data estate. This entry-level role supports the data team by helping with basic data profiling, cleansing, and documentation tasks. In addition, this internship gives exposure to Generative AI & ML for anomaly detection, data classification, coding & rule creation along with Agentic AI (MCP) for autonomous workflows. The intern will learn how to collaborate with data professionals and business users to maintain data quality standards and support data-driven decision-making. This is an excellent opportunity to gain hands-on experience in data management and analytics within a global organization. The ideal candidate possesses knowledge of data analysis techniques. In addition, this role will be part of a collaborative, purposeful and passionate team in the manufacturing industry operating with agility and leveraging modern architecture, tools & processes.

Requirements

• Basic knowledge of data analysis tools (Excel required; exposure to SQL or Python is a plus).
• Strong attention to detail and willingness to learn.
• Good problem-solving and analytical thinking skills.
• Effective communication and teamwork abilities.
• Working on a degree in IT, business analytics, engineering, mathematics, statistics, computer science or related degrees. Degrees outside of this area may be considered if the candidate has integrated data and analytics methods within that degree and is interested in further pursing data analytics related careers.

Responsibilities

• Leverage AI within our Data Governance and Data Quality platform to accelerate insights and simplify user interactions.
• Experiment with AI technologies and techniques to solve data quality pain points.
• Profile datasets and utilize platform AI features to identify anomalies and inconsistencies.
• Support data collection and preparation activities under guidance.
• Help document data quality standards and processes.
• Perform basic data cleansing tasks and update records as directed.
• Generate simple reports and summaries of data quality findings.
• Collaborate with team members to learn best practices in data quality and governance.
• Maintain organized documentation for data quality activities.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Number of Employees: 5,001-10,000 employees