Revenue Science Advisor

FedEx Group; Lakeland (FL); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Federal Express Corporation in Lakeland, FL seeks a senior business analytics professional to lead high-revenue projects, derive insights, and support global strategies using advanced modeling and dashboards.

You will mentor analysts, synthesize complex data, and present findings to management. Hybrid work arrangement with office presence in Lakeland is required.

Qualifications

• Master’s degree in business, mathematics, economics, computer science or related quantitative field with 3 years of relevant analytical experience.
• PhD in related quantitative field may offset degree requirements.
• Proven ability in statistical modeling, data analysis and dashboard features.

Responsibilities

• Lead high-revenue projects and derive insights.
• Develop dashboards and data pipelines for decision making.
• Mentor teammates on quantitative analysis and data tools.
• Present updates to upper management and cross-functional teams.

Skills

Statistical modeling

Communication

Analytical thinking

Education

Master’s degree in quantitative field

PhD in quantitative field (optional)

Tools

Power BI

Tableau

Spotfire

Teradata

Oracle

SQL

Python

SAS

Job description

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, VB.net, Java, JavaScript or R), relational databases (e.g. Teradata, Oracle) or visualizations tools (e.g. PowerBl, 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.

Requirements

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, VB.net, Java, JavaScript or R), relational databases (e.g. Teradata, Oracle) or visualizations tools (e.g. PowerBl, 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 FedEx office location up to several times per week.

EEO Statement

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