Sr Revenue Science Analyst

Under minimum supervision, assumes lead roles in medium revenue threshold projects. Key contributor to analyze business problems of up to medium 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 from various business dimensions in support of business decisions based on business plans, actual or forecast enterprise performance, products, channels, automation types, industry, competition, market and customer segments.
• Determines go-to-market tactics related to specific target customers, markets and products in term of marketing communication and sales calls.
• Typically works in tandem with peers from other groups.
• Independently attends cross-functional meetings and discussions to understand analytical requirements across enterprise business functions.
• 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/operation 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. Provides updates and reports to upper management (typically within the department).
• Performs other duties as assigned.

Preferred Qualifications

• Experience applying pricing, revenue management, or commercial analytics to digital products and translating product, customer, usage, and financial data into pricing recommendations, guardrails, and measurable business outcomes.
• Operate as a proactive pricing partner by understanding the business need, structuring ambiguous problems, developing fact based recommendations, improving repeatable processes, and supporting execution across Product, Sales, Marketing, Finance, and Technology.

Minimum Education

Master’s degree in business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research. Related experience may offset degree requirements and related education/degree may offset experience requirements.

Minimum Experience

Two (2) years of work experience 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

• One (1) year 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, presentation or insights in business, mathematics, economics, computer science or other quantitative field such as engineering/operations research), or any programming language (e.g. SAS, SQL, Python, C, VB.net, Java, JavaScript or R), relational databases (e.g. Teradata, Oracle) or visualizations tools (e.g. Power BI, Tableau, Spotfire). Strong human relations, communications and analytical skills. Directly related advanced degrees may offset experience requirements.

Domicile

This is a hybrid position located in Memphis, TN, Plano, TX, Pittsburgh, PA or Lakeland, FL. Candidates must live within 50 miles of the campus location. Employees will be required to work at the FedEx campus location several times per week.

Preferred Qualifications:

Pay Transparency:

Pay:

Additional Details: Posting closes on: 07/24/2026 at 4:00 PM CST / 5:00 PM EST.

For details on our comprehensive benefits, click .

Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability.

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