Job Description

POSITION OVERVIEW:
Entry-level position responsible for collecting, cleansing, analyzing large data sets using statistical and visualization techniques, producing actionable insights for decision making, and developing dashboards to manage these. Provide analytical support in solving strategic and operational problems.

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

Perform extensive analysis of the problem, model, and resources available and alternative solutions

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

Builds dashboards, based on identified metrics, to support business decisions for both strategic and operational needs

Conducts statistical hypothesis testing, and proactive and predictive scenario analysis to evaluate outcomes of operational experiments

Support the evaluation of alternative systems or transportation networks employing financial, computer, geographic or operational models as appropriate

Assist with the preparation of decision analysis and reports for presentation to senior management

Research cutting edge technologies in support of the “best practices” in any transportation or network related question

Support model design and development via testing, validation, and evaluation of strategic proposals

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, responsibilities and qualifications required of employees assigned to the job.

QUALIFICATIONS

• Bachelor’s Degree in Industrial Engineering, Math/Statistics, Computer Science, or related quantitative discipline
• Master’s Degree in a related quantitative field, preferred.
• Knowledge of building front-end dashboards using data visualization tools (Spotfire, Power BI, Tableau, and/or d3.js)
• Basic programming skills and ability to learn new languages, including but not limited to: Python, SQL, SAS
• Knowledge of statistical analysis for hypothesis testing and prediction (t-tests, ANOVA, regression, DOE, etc.)
• Knowledge of big data implementations (Spark and Hadoop)
• Knowledge of relational database systems Oracle, DB2, MS SQL Server, and Terradata
• Knowledge of designing and building machine learning models, preferred
• Good computer skills (Excel, Outlook, Word, PowerPoint) with experience using statistical software and reporting interfaces, data mining tools, machine learning techniques and data visualization
• Analytical, problem solving, time management, organizational and interpersonal skills
• Good verbal and written communication skills

WORKING CONDITIONS:

Hours may vary due to operational need

Preferred Qualifications:

Pay Transparency:

Pay:

Additional Details:

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 call 800-888-8252 or e-mail at ADAAssistance@freight.fedex.com.

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.

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