Logistics Engineer II, Cost Model

Job Title:
Logistics Engineer II, Cost Model

Department:
Engineering & Science

Country:
United States of America

State/Province:
Arkansas

City:
Lowell

Full/Part Time:
Full time

Job Summary:
Under general supervision, this position utilizes problem solving and quantitative methods to engineer data-driven cost modeling solutions that inform pricing, profitability analysis, and financial decision-making. Working closely with Finance and Pricing stakeholders, this role translates business requirements into reliable data pipelines, cost calculations, and analytical tools using Databricks, SQL, Python, and Power BI.

Job Description:

Key Responsibilities

- Partner with Finance and Pricing stakeholders to understand business needs, define requirements, and prioritize enhancements to the enterprise cost model.
- Develop and maintain Databricks notebooks and data pipelines using SQL, Python, and PySpark to process transportation, operational, and financial data.

- Support daily and weekly cost model processes, including data preparation, cost allocation, profitability calculations, and downstream reporting.

- Analyze order- and dispatch-level data to identify cost drivers, investigate variances, and improve cost accuracy across business units.

- Collaborate with Finance to validate cost assumptions, allocation methodologies, and model outputs against financial and operational results.

- Support Pricing stakeholders with reliable cost and profitability information for customer, lane, and business-unit analysis.

- Develop and maintain Power BI reporting and analytical datasets that make model results understandable and actionable.

- Troubleshoot data quality issues and pipeline failures, identify root causes, and implement improvements to reliability and processing efficiency.

- Test and document changes to cost calculations and data processes, communicating assumptions, limitations, and business impacts to stakeholders.

- Collaborate with engineering and business teams to deliver maintainable solutions using version control and established development practices.

- Increase awareness and knowledge of quantitative methods, computer programming, optimization, and/or solution design to support data analysis

Qualifications:

Minimum Qualifications:

- Bachelor's degree in industrial engineering, Mathematics, Statistics, Information Management, or related field, or foreign equivalent, or suitable combination of education, experience, and training with 1 year of experience in Industrial Engineering or related field

AND Demonstration of the following

- Experience in data visualization software, statistics, operations research, linear programming, forecasting, predictive modeling, relational databases, and/or SQL

Preferred Qualifications

- Hands-on experience using SQL and Python to transform, analyze, and validate data.

- Experience with Databricks, Apache Spark/PySpark, or similar cloud-based data processing platforms.

- Experience developing Power BI reports and working with analytical data platforms such as Google BigQuery.

- Understanding of cost allocation, financial reconciliation, transportation economics, and/or profitability analysis.

- Ability to translate business requirements into technical solutions and explain analytical findings to Finance, Pricing, and other nontechnical stakeholders.

- Familiarity with Git-based version control, testing, and supporting recurring production data processes.

This position is not eligible for employment-based sponsorship.

Compensation:

Factors which may affect starting pay within this range may include skills, education, experience, geography, and other qualifications of the successful candidate.  This position may be eligible for annual bonus and incentives based on profitability or volumes in accordance with the terms of the Company’s bonus and incentive plans, as applicable and in effect from time to time.

Benefits:

The Company offers the following benefits for full-time positions, subject to applicable eligibility requirements, as may be in effect from time to time: medical benefit, dental benefit, vision benefit, 401(k) retirement plan, life insurance, short-term and long-term disability coverage, paid time off commensurate with tenure (includes vacation and sick time), six weeks of paid maternity leave along with two weeks of paid parental leave, and six paid holidays annually.

Education:
Bachelors: Industrial Engineering (Required), Bachelors: Management Information Systems (Required), Bachelors: Mathematics (Required), Bachelors: Statistics (Required)

Work Experience:
Engineering

Certifications:

Job Opening ID:
00648186 Logistics Engineer II, Cost Model (Open)

This job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Both J.B. Hunt Transport, Inc. and Hunt Mexicana S.A. de C.V. are equal employment opportunity employers without regard to any characteristic protected under applicable law, including veterans and disability.