Full-Time

Oliver Wyman-Vector-Data Analyst

Posted on 11/23/2025

Marsh & McLennan

Marsh & McLennan

Compensation Overview

$80k - $85k/yr

Company Does Not Provide H1B Sponsorship

Atlanta, GA, USA

Hybrid

Three days on-site per week required.

Category
Data & Analytics (1)
Required Skills
Python
R
SQL
Data Analysis
Excel/Numbers/Sheets
PowerPoint/Keynote/Slides
Requirements
  • Bachelor’s Degree in Engineering or Data Science required
  • Direct experience via Co-op or Internship with aviation environments and data preferred
  • Advanced experience with Microsoft Office Suite (Excel and PowerPoint in particular)
  • Advanced experience with Python, R and SQL required
  • Hands on experience with Cloud data environments and ETL processes preferred
  • US Citizen with the ability to hold a security clearance required
Responsibilities
  • Become familiar with commercial and military aerospace and defense issues and trends
  • Support the ADG team by analyzing how aerospace commercial best practices have quantifiable applicability in defense applications
  • Understand the application of information security frameworks associated with CMMC and NIST 800-171 to projects involving CUI data
  • Undertake complex quantitative, qualitative, strategic and financial analysis through a variety of activities which include:
  • Primary and secondary research
  • Benchmarking
  • Model building
  • Analyzing client data
  • Evaluating improvement initiatives
  • Manipulate large amounts of data and present findings in a structured, cohesive manner
  • Assist in developing and maintaining Oliver Wyman’s commercial air transport forecast models
  • Assist in long-term client engagements focused on system transformation
  • Assist in developing client deliverables
  • Assist in developing internal and public facing presentations for Vector and Oliver Wyman
  • Assist in developing internal and public facing publications for Vector and Oliver Wyman
  • Assist in developing full articles and interview responses for commercial aviation magazines and journals from around the world
  • Working closely and productively within teams to achieve established goals
  • Be comfortable working in situations that are ambiguous and highly complex
Desired Qualifications
  • Direct experience via Co-op or Internship with aviation environments and data preferred
  • Hands on experience with Cloud data environments and ETL processes preferred

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INACTIVE