Sr Revenue Science Analyst

FedEx • Plano, TX

5d • Hybrid

About The Position

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.

Requirements

• 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.
• 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.
• 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. PowerBI, Tableau, Spotfire).
• Strong human relations, communications and analytical skills.
• Directly related advanced degrees may offset experience requirements.

Nice To Haves

• Drives enterprise wide business process engineering projects in collaboration with IT and business partners using software development paradigms (Agile, etc.).
• Ability to perform high quality, complex analysis
• Experience in developing business requirements, reports, and handling large amounts of data.
• Excellent SQL Skills preferably in Oracle and Teradata.
• Programming experience with .Net, Python, Java, C#.

Responsibilities

• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees