Data Analyst Lead

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 Lead

Location: 3680 Hacks Cross Road, Memphis, TN 38125

Job Description: Designs and implements advanced processes and analytics associated with a wide variety of data sets used for data/text mining, analysis, and prediction to Enable informed business decisions. Gains insight into key business problems and deliverables by applying highly technical analysis techniques analysis techniques to examine structured and unstructured data from multiple disparate Sources. Provide insight from initial concept to fully tested production and communicates results to a broad range of audiences. Effectively uses current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis. Typically uses data, statistical and quantitative analysis, basic modeling, and fact-based management to drive decision making. Mentors less senior staff. Works in cross functional projects and programs. Routinely presents to management.

Qualifications: Master?s degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or finance plus 5 years of experience in the job offered or 5 years of equivalent 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 Bachelor?s degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or finance plus 7 years of experience in the job offered or 7 years of equivalent work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation development and/or predictive analytics in lieu of a Master's degree plus 5 years of experience. The position requires experience with: SQL; Python; Statistical Analytics; Looker Dashboards; Data Engineering; Data instrumentation, mining and cleansing; Mathematical and statistical modeling; and Marketing Analytics.

Position can telecommute from home from any location in the U.S.

EEO Statement - FedEx Dataworks 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.

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].

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