Senior Data Analyst

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Date: Jul 16, 2026

Location: Denton, TX, US, 76205-7864

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Company: PACCAR

Note to all Internal Candidates

Direct managers of internal candidates will receive a system notification if their employee's application is selected for an interview.

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. This position will support the AfterSales Department with reporting and in-depth data analysis. This role reports to the Data Analytics Manager, AfterSales.

Job 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 with team members and senior executives.

Integrate AfterSales data from multiple sources to produce a single overarching view of the customer AfterSales experience.

Monthly General Manager Warranty Meetings Data Extraction and query updates.

Develop and implement analytical model that provide actionable insights to support cross functional team objectives.

Provide accurate, relevant, and meaningful ad-hoc analysis to management to support strategic and tactical decision-making.

Develop new process improvements to increase the speed, accuracy, and efficiency of our work.

Create and present materials on data projects.

Required Qualifications

Bachelor degree in Computer Science, Statistics, Data Analytics, or related field

7+ years of applicable job experience, with a proven ability to make process improvements

Experience in creating executive/summary level dashboards and reports, integrating many data sources

Experience with Snowflake and Python

Strong understanding of advanced Tableau features and capabilities

Preferred Qualifications:

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, critical thinking, excellent general business acumen, with the ability to communicate complex topics concisely and clearly

Demonstrable in-depth understanding of data structures and ETL processes

Familiarity with cloud storage like AWS

GitHub experience for version control

General Description of all Benefits

As a U.S. PACCAR employee, you have a full range of benefit options including:

401k with up to a 5% company match

Fully funded pension plan that provides monthly benefits after retirement

Comprehensive paid time off – minimum of 10 paid vacation days (additional days are provided with additional seniority/years of service), 12 paid holidays, and sick time

Tuition reimbursement for continued education

Medical, dental, and vision plans for you and your family

Flexible spending accounts (FSA) and health savings account (HSA)

Paid short-and long-term disability programs

Life and accidental death and dismemberment insurance

EAP services including wellness plans, estate planning, financial counseling and more

This position is also eligible for a holiday gift.

Additional Job Board Information

#LI-Onsite

Job Segment: Data Analyst, Computer Science, Database, SQL, Data, Customer Service, Technology

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