Revenue Science Advisor

Independently assumes lead roles in larger and higher revenue threshold projects. Key contributor to deriving business insights and analyzing business problems of high complexity. Generates computer-aided quantitative and statistical business analysis by leveraging advanced tools and scientific modeling approaches related to customer analytics, market analysis and forecasting in support of the organization's global strategies.

Essential Functions

• Assists in synthesizing analytical views reports and insights from various business dimensions in support of designing business strategies related to business plans, actual or forecast enterprise performance, products, channels, automation types, industry, competition, market and customer segments.
• Reviews and optimizes go-to-market tactics related to specific target customers, markets and products in terms of marketing communication and sales calls.
• Leads teams with peer partners from other groups.
• Independently attends cross-functional meetings and discussions to provide business guidance based on analytical insights to peers and managers of partner teams.
• Demonstrates excellence in computer aided decision support (utilize computer languages or packages to analyze data and generate reports, presentations or insights in business, mathematics, economics, computer science, or other quantitative field such as engineering / operations research), and programming languages (e.g. SAS, SQL, Python, C, VB.net, Java, JavaScript or R), relational databases (e.g. Teradata, Oracle) or visualizations tools (e.g. PowerBI, Tableau, Spotfire).
• Mentors and trains professionals in less senior positions within the team on quantitative data analysis and utilization of above computer resources.
• Provides updates, reports, and analytical presentations to upper management across the enterprise.
• Performs other duties as assigned.

Minimum Education

Master’s degree in business, mathematics, economics, computer science, or a related quantitative field, such as engineering, or operations research required.

Minimum Experience

Three (3) years of work experience required in business, mathematics, economics, computer science or other quantitative fields such as engineering / operations research, in an analytical, quantitative, or technical role.

Knowledge, Skills, Abilities

Two (2) years of experience or coursework with the following skills (skills can be gained concurrently with education) : computer aided decision support (utilize computer languages or packages to analyze data and generate reports, presentations or insights in business, mathematics, economics, computer science or other quantitative fields such as engineering / operations research), and programming languages (e.g. SAS, SQL, Python, C, VB.net, Java, JavaScript or R), relational databases (e.g. Teradata, Oracle) or visualizations tools (e.g. PowerBI, Tableau, Spotfire).  Strong human relations, communication, and analytical skills. Directly related advanced degrees may offset experience requirements.

Preferred Qualifications : Understanding of business concepts relevant to revenue management, marketing & finance Ability to develop complex analytical models that enable quality pricing analysis Ability to predict market response, business impact and measure results. Ability to tell stories, provide comprehensive reports and recommendations to leadership Critical thinking and problem-solving abilities Experience in Pricing Domain is a plus Experience in ML / Azure Databricks / PowerBI is a plus.

Pay Transparency : This compensation range is provided as a reasonable estimate of the current starting salary range for this role across all potential locations. If this opportunity includes multiple job levels, the salary information represents the job level minimum and the job level maximum. Actual starting pay would be determined by experience relative to the job, market level, pay at the location for this job and other job-related factors permitted by law. An employee may be eligible for additional pay, premiums, or bonus potential. The Company offers eligible employees health, vision and dental insurance, retirement, and tuition reimbursement.

Pay : Collierville - $7488.36-$9,922.07 monthly.

Additional Details : Desired location for this hybrid position is Collierville-TN. Candidates must live w / in 50 miles & required to work onsite several times a week. Relocation available. Deadline : 3 / 3 / 25, 5 pm CST.

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 :

Salary : $7,488 - $9,922