This position will be domiciled at a FedEx Freight location in Harrison, AR or Memphis, TN. You will be required to work at a FedEx Freight Location several times per week.
POSITION OVERVIEW:
Responsible for formulating and applying sophisticated modeling and other advanced analytic methods using a computer to develop and interpret information that assists management with decision making, policy formulation, or other managerial functions; Concentrate on collecting, cleansing and analyzing data, developing decision support software and producing actionable information for decision making
ESSENTIAL FUNCTIONS:
- Identify business opportunities or expand ideas obtained from management in order to conceptualize and define and model operational problems to assess feasibility and impact Identify performance improvement opportunities via data analysis and develop decision support tools to ensure most cost conscience, efficient use of company resources that supports service objectives
- Develop concepts into business plans utilizing appropriate research techniques, methodologies, and experience and present them to senior management with recommendation for implementation
- Lead the evaluation of alternative systems or transportation networks employing financial, computer, geographic or operational models as appropriate
- Develop and implement data collection systems from primary and secondary sources and other strategies that optimize statistical efficiency and data quality Identify, analyze, interpret and visualize trends or patterns in complex data sets
- Research cutting edge technologies in support of the “best practices” in any transportation or network related question Individually, or as a project lead, design and develop models for testing, validation and evaluation of strategic proposals
- Prepare decision analysis and reports for presentation to senior management
- Utilize multi-media presentations and formal reports for presenting analyses to senior management
- Coordinate personnel involved in project administratively and technically
- Provide technical assistance and mentoring to other operations research professionals
- Comply with all applicable laws/regulations as well as company policies/procedures
- Perform other duties as required
Disclaimer: This job description is general in nature and is not designed to contain or to be interpreted as a comprehensive inventory of all duties, essential functions and qualifications required of employees assigned to the job.
QUALIFICATIONS:
- Master's Degree in Industrial Engineering, Math/Statistics or related quantitative discipline or Bachelor's Degree (aforementioned disciplines) with 2 years’ experience
- Five (5) years’ experience in engineering, statistics, forecasting, or data analysis
- Advanced knowledge of data visualization tools such as Tableau, PowerBI or Spotfire
- Advanced knowledge of Azure cloud services, developing data solutions and machine learning models on Databricks
- Advanced descriptive, diagnostic, predictive and prescriptive modeling knowledge and skills
- Intermediate programming skills and ability to learn new languages, including but not limited to: JAVA, SQL, SAS
- Intermediate knowledge of relational database systems Oracle, DB2 and Terradata
- Strong computer skills (Excel, Outlook, Word, PowerPoint) with experience using statistical software and reporting interfaces, data mining tools, machine learning techniques and data visualization
- Leadership, analytical, problem solving, time management, organizational and interpersonal skills
- Excellent presentation, verbal and written communication skills
WORKING CONDITIONS:
Hours may vary due to operational need
EST FedEx Freight, Inc
FedEx Freight is an Equal Opportunity Employer, including disabled and veterans. If you have a disability and you need assistance in order to apply for a position with FedEx Freight, please e-mail at [email protected]. FedEx Freight will not discharge or in any other manner discriminate against any employee or applicant for employment because such employee or applicant has inquired about, discussed, or disclosed the compensation of the employee or applicant or another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.
Skills Required
- Master’s degree in Industrial Engineering, Mathematics, Statistics, or a related quantitative discipline
- Alternatively, a bachelor’s degree in an aforementioned discipline with two years of experience
- Five years of experience in engineering, statistics, forecasting, or data analysis
- Advanced knowledge of data visualization tools such as Tableau, Power BI, or Spotfire
- Advanced knowledge of Azure cloud services
- Experience developing data solutions and machine learning models on Databricks
- Advanced descriptive, diagnostic, predictive, and prescriptive modeling knowledge and skills
- Intermediate programming skills, including Java, SQL, and SAS, with ability to learn new languages
- Intermediate knowledge of relational database systems including Oracle, DB2, and Teradata
- Strong computer skills with statistical software, reporting interfaces, data mining tools, machine learning techniques, and data visualization
- Leadership, analytical, problem-solving, time-management, organizational, and interpersonal skills
- Excellent presentation, verbal, and written communication skills
What We Do
FedEx Freight operates FedEx’s less-than-truckload (LTL) freight transportation business across North America. Its services include Priority, Economy, and Direct shipping, while subsidiary FedEx Custom Critical provides expedited, time- and temperature-specific freight solutions. The company uses a large vehicle fleet, extensive service-center network, operational efficiency, data-driven technology, and dedicated personnel to deliver freight safely, securely, and reliably across the United States, Canada, Mexico, and nearby territories.







