Position Purpose:  

We are seeking a motivated and detail-oriented Data Analyst Intern to join our team. As a Data Analyst Intern, you will assist the data analytics and engineering team in gathering, analyzing, and interpreting large datasets to provide valuable insights and support data-driven decision-making. Additionally, you will have the opportunity to explore emerging technologies, including Process Automations, AI, Machine Learning (ML), and Large Language Models (LLMs), to uncover new ways of enhancing analytics capabilities and automating insights. This is an excellent opportunity for a student or recent graduate interested in gaining practical experience in data analysis within a dynamic and fast-paced environment.

Main Responsibilities:

• Collaborate with the data analytics teams to identify and understand data requirements for various projects and initiatives.
• Assist in the collection, cleansing, and transformation of data from multiple sources to ensure accuracy and integrity.
• Perform exploratory data analysis to identify patterns, trends, and correlations.
• Create and maintain comprehensive reports and dashboards using Power BI and Excel to visualize data and communicate insights effectively.
• Conduct ad-hoc data analyses and support the team in answering business-related questions.
• Assist in the development and implementation of data quality control measures.
• Support the team in identifying opportunities for process improvement and automation in data analysis workflows.
• Explore and experiment with AI/ML techniques and LLMs to enhance data analysis, automate reporting processes, and uncover predictive insights.
• Explore leveraging Power Automate to automate business processes and analysis.
• Research and prototype potential applications of AI-driven solutions to support business initiatives and data innovation.
• Work with business partners to deliver reporting and AI solutions.

 Qualifications:

• Pursuing a degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline.
• Proficiency with Excel for data analysis and report writing.
• Solid understanding of data manipulation techniques and experience working with large datasets.
• Familiarity with Python, SQL, or other programming languages commonly used in data analysis.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and derive actionable insights.
• Familiarity with data visualization best practices and the ability to create compelling visualizations.
• Interest in or exposure to emerging technologies, including Process automation, AI, Machine Learning, or Large Language Models (LLMs), is a plus.
• Excellent written and verbal communication skills, with the ability to present findings clearly and effectively.
• Detail-oriented with strong organizational skills and the ability to manage multiple tasks and meet deadlines.
• Proactive and self-motivated, with a strong desire to learn and contribute to the team.

Old World Industries is among the largest privately held companies competing in the automotive aftermarket today. Built upon a 50-year history of ingenuity, the Northbrook, Illinois-based company is transforming the automotive, commercial and chemical industries that keep the world moving forward. Old World’s brands include a full line of PEAK® Performance Automotive Aftermarket Products including Antifreeze/Coolant, Washer Fluid, Lighting and Wiper Blades; BlueDEF® Diesel Exhaust Fluid and Equipment; FINAL CHARGE® PRO-SERIES Heavy Duty Extended Life Coolant, Fleet Charge® SCA Precharged Heavy Duty Coolant and Thermal Charge® Heat Transfer Fluid.