Data Analyst

Note to all Internal Candidates

Internal candidates should notify their supervisor about job interests and applications upon submission. 

 

Company Information

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 power trains, provides financial services and information technology, and distributes truck parts related to its principal business.

 

Peterbilt Motors Company

On highways, construction sites, city streets, logging roads - everywhere our customers earn their living - Peterbilt's red oval is a familiar symbol of performance, reliability and pride. Peterbilt has reigned as America's premium quality truck manufacturer since the company's founding in 1939. Our dedication to deliver products and services focused on improving customers' performance, image, profitability and peace of mind truly makes Peterbilt the Class of the Industry.

Requisition Summary

Peterbilt has an immediate need for a talented and self-motivated Data Analyst with the Peterbilt Advanced Analytics team. This team focuses on solving Peterbilt's most important challenges using data and advanced analytics. The Advanced Analytics team works on a huge variety of projects; from predictive analytics models to support Operations, to prescriptive analytics to support Peterbilt sales efforts, and GenAI projects to support vehicle uptime. This team works on high-impact and high visibility projects.

 

Job Functions / Responsibilities

 

• Extract, clean, merge, transform and compile data from various data sources, including relational databases, flat files, NoSQL databases and unstructured data using Python and SQL.
• Create and implement dashboards and reports in Tableau to share metrics and insights.
• Provide accurate, relevant, and meaningful analysis to management to support strategic and tactical decision-making.
• Develop new process improvements to increase the speed, accuracy, and efficiency of our work.
• Develop solutions to measure, improve, and monitor data quality based on business requirements.
• Ensure product and technical features are delivered to spec and on-time.
• Design and implement reporting and analytics features in collaboration with product owners, analysts, and business partners within an Agile/Scrum methodology using tools like Tableau.
• Provide post-implementation production support.

 

Required Qualifications & Skills

 

• Master's degree in Computer Science, Statistics, Data Analytics, or related field.
• 1+ year(s) of experience in a data analytics position.
• Significant experience with Business Intelligence solutions (Tableau) to create executive / summary level dashboards and reports.
• Significant experience with, or deep understanding of, programming (Python, SQL).
• Exposure to working with big data (Scala, Spark, Snowpark).
• Experience with Informatica, Qlik, and Snowflake.
• Candidate must demonstrate strong analytical skills, excellent general business acumen, with the ability to communicate complex topics concisely and clearly.

• Proven track record of participating in projects in a highly collaborative, multi-disciplinary team environment.
• Must be a highly motivated self-starter and self-directed learner with a creative mind, high attention to detail and a solution-oriented outlook.
• Candidate must demonstrate strong analytical skills, excellent general business acumen, with the ability to communicate complex topics concisely and clearly.

 

 

Preferred Qualifications and Skills

 

• 1+ years of experience with AWS and related services (e.g., EC2, S3, SNS, Lambda).
• Proficient in dimensional modeling, ETL (including SSIS), reporting tools, data warehousing (Redshift & Snowflake), structured and unstructured data, relational databases (SQL Server & PostgreSQL), graph databases (Neo4J).
• Experience with Continuous Integration/Deployment using Git Actions, Terraform, CloudFormation and AWS Code Pipeline.
• Experience with shell scripting.
• Experience with container deployments (Docker, Kubernetes, ECS).
• Experience with the operationalization and maintenance of analytics APIs using, Flask, Streamlit, and similar.
• Experience using GPT and large language models (LLMs).
• Experience with Agile development methodology.

 

Education

 

• Master's degree in Computer Science, Statistics, Data Analytics, or related field

 

Work Location:

Onsite: Peterbilt (Denton, TX) 

 

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