Sr. Revenue Science Analyst and Revenue Science Advisor

in Pittsburgh, PA

Sr. Revenue Science Analyst and Revenue Science Advisor Job

Job Description Job Attributes+

  • Job ID

    POSTING-3-331499-2

  • Req #

    RC331992

  • Job Location

    1000 Omega Drive
    Pittsburgh, PA 15205, US

  • Job Category

    Decision Science & Analytics

Company: FedEx Services
Job Title: Sr. Revenue Science Analyst and Revenue Science Advisor
Job Requisition Number: RC331992
Category: Decision Science & Analytics
Pay Type: Exempt
Locations:
Memphis, Tennessee 38125
United States

Plano, Texas 75024
United States

Pittsburgh, Pennsylvania 15205
United States

Pittsburgh, Pennsylvania 15205
United States


FedEx Services is seeking qualified applicants for Sr Revenue Science Analyst and Revenue Science Advisor roles within the Revenue Management division. Applications to this posting may potentially be considered for multiple positions and sent to multiple Hiring Managers for review and consideration.

The Sr. Revenue Science Analyst and Revenue Science Advisor roles play an important role in the FedEx Revenue Management organization. These roles are intended for people with strong financial analysis experience, strong business judgement, understanding of financial principles and excellent communication skills.

Sr. Revenue Science Analyst Job Summary:

  • 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.


Sr. Revenue Science Analyst Essential Duties/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.
  • 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). SAS, SQL, UNIX and fourth-generation programming languages.
  • 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).


Sr. Revenue Science Analyst Minimum Qualifications:

  • Master's Degree in business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research.
  • Two (2) years 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), SAS, SQL, Unix or any fourth-generation programming language.
  • Strong human relations, communications and analytical skills.
  • More advanced degrees may offset experience requirements.


Sr. Revenue Science Analyst Skills/Knowledge/Experience Considered a Plus:

  • Problem Solving
  • Statistical Inference
  • Exploratory Data Analysis & Visualization
  • Predictive Modeling/Machine Learning
  • Time Series Forecasting
  • Analytical Storytelling
  • Microsoft Azure, SAS, Python, and R


Revenue Science Advisor Job Summary:
  • 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.

Revenue Science Advisor Essential Duties/Responsibilities: 
  • 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), SAS, SQL, UNIX and fourth-generation programming languages. 
  • 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

Revenue Science Advisor Minimum Qualifications:

  • Master's Degree in business, mathematics, economics, computer science or other quantitative field such as engineering/operations research.
  • Three (3) years 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.
  • 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), SAS, SQL, Unix or any fourth-generation programming language.
  • Strong human relations, communications and analytical skills.
  • More advanced degrees may offset experience requirements.


Revenue Science Advisor Skills/Knowledge/Experience Considered a Plus:

  • Problem Solving
  • Statistical Inference
  • Exploratory Data Analysis & Visualization
  • Predictive Modeling/Machine Learning
  • Time Series Forecasting
  • Analytical Storytelling
  • Microsoft Azure, SAS, Python, and R


Domicile/Relocation:

  • These positions will be domiciled in Memphis, Tennessee, Dallas, Texas and Pittsburgh, Pennsylvania. Ability to work remotely within the United States may be available based on business needs. Relocation assistance may be available based on business needs.


FedEx Services is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, genetics disability, or protected Veteran status.

FedEx Services will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant or an employee, unless undue hardship or a direct threat would result from the accommodation. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact recruitmentsupport@fedex.com.

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