Data Analytics Intern: Visualize Trends & Drive Insights

Paccar Inc.; Chillicothe (OH); On-site; USD 25,000 - 34,000; Full time

Job summary

PACCAR is seeking a Data Analyst Intern in Chillicothe, OH to support data-driven decision making across manufacturing and business teams. You will identify data sources, preprocess data, and present insights using visualization tools like PowerBI and Python-based analyses, with collaboration across functional groups.

The internship emphasizes hands-on data exploration, strong communication, and a foundation in computer science or engineering; familiarity with SQL, R, and low-code development

Qualifications

• Experience in data visualization.
• Knowledge of R, SQL and Python; familiarity with Java or C++ is an asset.
• Proficient in using SQL code in development of complex queries.
• Experience using PowerBI business intelligence tool.
• Background in using Low-Code Software for Application development.
• Analytical mind and business acumen.
• Problem-solving aptitude.
• Excellent communication and presentation skills.
• BSc/BA in Computer Science, Engineering, or relevant field.

Responsibilities

• Identify valuable data sources and automate collection processes
• Undertake pre-processing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with manufacturing and business teams

Skills

Data Visualization

R

SQL

Python

PowerBI

Low-Code Software

Analytical thinking

Communication skills

Education

BSc/BA in Computer Science, Engineering, or relevant field

Tools

Java

C++

Job description

PACCAR is seeking a Data Analyst Intern in Chillicothe, OH to support data-driven decision making across manufacturing and business teams. You will identify data sources, preprocess data, and present insights using visualization tools like PowerBI and Python-based analyses, with collaboration across functional groups.

The internship emphasizes hands-on data exploration, strong communication, and a foundation in computer science or engineering; familiarity with SQL, R, and low-code development