Data Analyst Intern

Paccar Inc.

Chillicothe (OH)

On-site

USD 25,000 - 34,000

Full time

36 hours ago
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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

Data Analyst Intern

Location: Chillicothe, OH, US, 45601-8829

Company: PACCAR

Company Information

PACCAR is a Fortune 500 company established in 1905. PACCAR Inc is recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF trucks. PACCAR is a global technology leader in the design, manufacture and customer support of high-quality light-, medium-, and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates. PACCAR also designs and manufactures advanced diesel engines, provides financial services and information technology, and distributes truck parts related to its principal business.

Whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services — you can develop the career you desire with PACCAR. Get started!

Kenworth Truck Company

Kenworth Truck Company is the manufacturer of The World’s Best heavy and medium duty trucks. Kenworth is an industry leader in providing fuel-saving technology solutions that help increase fuel efficiency and reduce emissions. The company’s dedication to the green fleet includes aerodynamic trucks, compressed and liquefied natural gas trucks, and medium duty diesel-electric hybrids.

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
Requirements
  • Experience in Data Visualization
  • Knowledge of R, SQL and Python; familiarity withJava 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
  • Perform other duties as assigned
Physical Requirements
  • Must meet physical requirements of the position with or without accommodations.
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