Under moderate supervision provides expertise at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling, and artificial intelligence (AI)/machine learning (ML) initiatives. Uses expert knowledge of data on customers, consumers, economy, external demand drivers, market, and competition (structured and unstructured) and internal business processes to develop analytical solutions to relatively well-defined and lower complexity business problems. Creates and executes solutions from initial concept to fully tested production and communicates results to a broad range of audiences. Provides thought leadership and leads cross-functional teams in descriptive, diagnostic, predictive and prescriptive modeling, advanced statistical analysis, and other quantitative analysis of complex business situations. Makes use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to business partners and management.
Makes use of data, statistical and quantitative analysis, explanatory and high-complexity predictive modeling, and fact-based management to drive decision-making. Leads cross functional projects and programs, formally preparing and presenting to management. Provides consultation to management on a regular basis. Routinely works on multiple assignments concurrently. Mentors less experienced staff.

Minimum Education

Master's degree in data science, analytics, business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research.

Minimum Experience

Two (2) years work experience in business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research, in an analytical, quantitative, or technical role. One (1) year of experience or coursework with the following skills (skills can be gained concurrently with education): computer-aided decision support (utilize computer programs or packages to analyze data and support business decisions), or any analytical/modeling language (e.g. Python, R, SAS, or SQL), and data visualization tools like Tableau, PowerBI, Spotfire, etc.

Knowledge, Skills and Abilities

Strong problem solving, analytical, and communication skills. Directly related advanced degrees may offset experience requirements.

Preferred Qualifications: Assists in producing revenue and volume forecasts using techniques such as time-series, Machine Learning forecasting, using economic, market indicators, sales & pricing pipeline. Develops business performance and actionable insights for leadership. Develops excellence in computer aided decision support (Python, SQL, Azure or R), relational databases or visualizations tools to accelerate data analysis and reporting. Designs, builds and enhances forecasting, planning, and insights infrastructure.

Pay Transparency:

Pay:

Additional Details: This position will be hybrid in Collierville, TN and candidates must live within a 50 mile radius. Employees will be required to work at a FedEx Campus location several times per week

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. Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.

Applicants have rights under Federal Employment Laws:

E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program: