Data Analyst III

About FedEx Dataworks:

Born out of FedEx, a pioneer that ships nearly 20 million packages a day and manages endless threads of information, FedEx Dataworks is an organization rooted in connecting the physical and digital sides of our network to meet today's needs and address tomorrow's challenges.

We are creating opportunities for FedEx, our customers, and the world at large by:
? Exploring and harnessing data to define and solve true problems
? Removing barriers between data sets to create new avenues of insight
? Building and iterating on solutions that generate value
? Acting as a change agent to advance curiosity and performance

At FedEx Dataworks, we are making supply chains work smarter for everyone.

Company Name: FedEx Dataworks, Inc.

Job Title: Data Analyst III

Location: 3630 Hacks Cross Road, Memphis, TN 38125 (100% Remote)

Job Description: Under general supervision, designs and implements processes and solutions associated with a wide variety of data sets used for data/text mining, analysis to enable informed business decisions. Gains insight into key business problems and deliverables by applying statistical analysis techniques to examine structured and unstructured data from multiple disparate sources. Uses current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via an increasing understanding of the business model and the information available for analysis. Typically uses data, statistical and quantitative analysis, and fact-based management to drive decision-making.

Qualifications: Bachelor?s degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics, or Finance plus 3 years of experience in the job offered or 3 years of work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation development and/or predictive analytics. The employer will alternatively accept a Master?s degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics, or Finance plus 1 year of experience in the job offered or 1 year of work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation development and/or predictive analytics in lieu of a Bachelor's degree plus 3 years of experience. The position requires experience with: SQL for querying databases; Programming using Python including data manipulation libraires like Pandas, NumPy, Dask, and Polars; Visualization tools including Power BI; Visualization libraries in Python (e.g., Matplotlib, Seaborn); data warehousing concepts and technologies; Statistical concepts and methods (e.g., regression, hypothesis testing). Proficient in analytics software and applications; Good interpersonal skills; Good written and oral communication skills. Position can telecommute from home from any location in the U.S.

FedEx Dataworks is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Dataworks does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, Dataworks is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact [email protected].