FedEx-posted 10 months ago
$7,488 - $9,922/Yr
Full-time • Mid Level
Hybrid • Pittsburgh, PA
5,001-10,000 employees
Couriers and Messengers

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 and programming languages, relational databases or visualizations tools.
  • Mentors and trains professionals in less senior positions within the team on quantitative data analysis and utilization of 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.
  • Three (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.
  • Two (2) years of experience or coursework with computer aided decision support, programming languages, relational databases or visualizations tools.
  • Strong human relations, communication, and analytical skills.
  • Understanding of business concepts relevant to revenue management, marketing & finance.
  • Ability to develop complex analytical models that enable quality pricing analysis.
  • Ability to predict market response, business impact and measure results.
  • Ability to tell stories, provide comprehensive reports and recommendations to leadership.
  • Critical thinking and problem-solving abilities.
  • Experience in Pricing Domain is a plus.
  • Experience in ML/Azure Databricks/PowerBI is a plus.
  • Health insurance
  • Vision insurance
  • Dental insurance
  • Retirement
  • Tuition reimbursement
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