Sr Revenue Science Analyst

Join to apply for the Sr Revenue Science Analyst-3 role at Federal Express Corporation

5 days ago Be among the first 25 applicants

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.

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

• 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, , 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.

Skilled in conducting in‑depth financial analyses, strategic evaluations and competitive market research to develop profit and loss statements, while formulating data‑driven pricing recommendations that align with organizational objectives. Determine go‑to‑market pricing tactics and exceptional communication skills in effectively advocating for strategic pricing initiatives with the ability to position strategic pricing recommendations and tactics to Sales and management.

The compensation listed reflects the pay range or rate of pay reasonably expected for this posted position at the posted location or locations. If this opportunity includes multiple job levels, the pay information represents the minimum and maximum range for all levels in that job family. Actual pay is determined by several job‑related factors permitted by law and relevant to the position, including, but not limited to, experience relative to the job, tenure, market level, pay at the location for this job, performance, schedule, and work assignment.

US: $7,094.23/mo -…