Company: FedEx Services
Job Title: Data Analyst - All Levels
Job Requisition Number: RC304579
Category: Decision Science & Analytics
Pay Type: Exempt
Locations:
Collierville, Tennessee 38017
United States

Harrison, Arkansas 72601
United States

Lakeland, Florida 33801
United States

Orlando, Florida 32810
United States

Pittsburgh, Pennsylvania 15205
United States

FedEx Services is seeking qualified applicants for Data Analyst positions at all levels.

Your application to this posting may potentially be considered for multiple positions within this group. 

Data Analyst Positions:

• Associate Data Analyst (Sponsorship is not available for this position)
  
• Data Analyst (Sponsorship is not available for this position)
  
• Sr. Data Analyst
  
• Data Analyst Advisor
  

Duties for this role include but are not limited to: design and implement processes and solutions associated with a wide variety of data sets used for data/text mining, analysis to support informed business decisions. Gain insight into key business and deliverables by examining structured and unstructured data from multiple disparate sources. Effectively use current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via the information available for analysis. Learning to use data, statistical and quantitative analysis, to drive decision making.

Additional Job Information:
Develops new products and solutions through the use of descriptive, predictive, prescriptive modeling, machine learning, and complex mathematical modeling/tool development.

Skills/Knowledge/Experience Considered a Plus:

• Data Science / Engineer expertise as a thought leader and practitioner
  
• Experience analyzing large-scale structured and unstructured data using Scala, Python, R
  
• Experience working in Big Data technologies like Hadoop, Spark, Hive, Kafka, etc., with understanding of best practices used throughout industry
  
• Development experience within Cloud technologies like Microsoft Azure or Google Cloud Platform
  
• Experience in mathematical modeling of large-scale, real-world optimization problems and design of algorithms that obtain implementable cost-efficient solutions
  
• Experience using object-oriented programming languages such as Java and C++
  
• Experience using CPLEX, Gurobi, or similar optimization modeling packages
  
• Process improvement experience and training/application of quality management processes and principles, e.g. QDM expert, Six Sigma, and Lean
  
• Experience in the transportation industry and understanding of evolving technology
  
• Use of data visualization tools such as Power BI, Spotfire, Tableau to communicate results
  
• Experimental design experience
  

Minimum Qualifications:

• Associate Data Analyst - Bachelor's degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or Finance. Demonstrated knowledge gained through course work or work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation development and/or predictive analytics. Proficient in analytics software and applications. Good Interpersonal skills. Good written and oral communication skills.
  
• Data Analyst - Bachelor's degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or Finance. Two (2) years work experience in measurement and analysis, quantitative business problem solving, operations analysis,marketing analysis, simulation development and/or predictive analytics. Proficient in analytics software and applications. Good interpersonal skills. Good written and oral communication skills.
  
• Sr. Data Analyst - Bachelor's degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or Finance. Five (5) years work experience in measurement and analysis,quantitative business problem solving, operations analysis,marketing analysis, simulation development and/or predictive analytics. Proficient in analytics software and applications. Good interpersonal skills. Good written and oral communication skills.
  
• Data Analyst Advisor - Bachelor's degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or finance. Seven (7) years equivalent work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation development and/or predictive analytics. Superior analytical skills with diverse analytics and statistical software and applications. Excellent interpersonal skills, written and oral communication Skills. Proven leadership skills.
  

Domicile / Relocation Information:

• The position(s) can be domiciled anywhere in the United States
  
• Remote work is available
  
• Relocation assistance may be available based on business need.
  

Application Criteria / Deadline:
Upload current copy of Resume (Microsoft Word or PDF format only) to include beginning and ending dates (month/year format) for each employer/position and answer job screening questionnaire.

FedEx Services is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, genetics disability, or protected Veteran status.

FedEx Services will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant or an employee, unless undue hardship or a direct threat would result from the accommodation. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact recruitmentsupport@fedex.com.