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. 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, , Java, JavaScript or R), relational databases (e.g. Teradata, Oracle) or visualizations tools (e.g. Power Bl, 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.

Master’s degree in business, mathematics, economics, computer science, or a related quantitative field, such as engineering, or operations research required plus 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. As an equivalent alternative, the employer will accept a Ph.D. in business, mathematics, economics, computer science, or a related quantitative field, such as engineering, or operations research required.

The position requires experience with:

• Statistical Modeling;
• Business Performance Management;
• Customer Analytics;
• Strategy Development by connecting Competitive Strategy, Economic Indicators, Pricing Information and Customer Segmentation;
• Gathering stakeholder needs and translating them into specific dashboard features that address those needs;
• Create and maintain Data ETL (extract, transform, load) Pipelines, Data Wrangling and Data Modelling
• 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, , Java, JavaScript or R), relational databases (e.g. Teradata, Oracle) or visualizations tools (e.g. Power Bl, Tableau, Spoffire).
• Strong human relations, communication, and analytical skills.

Directly related advanced degrees may offset experience requirements. Related experience may offset degree requirements and related education/degree may offset experience requirements. This position will be hybrid in Lakeland, FL and candidates must live within a 50-mile radius. This position is hybrid, meaning that employees will be required to work at a Fed Ex office location up to several times per week.

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

Applicants have rights under Federal Employment Laws:

• Know Your Rights
• Pay Transparency
• Family and Medical Leave Act (FMLA)
• Employee Polygraph Protection Act