Michael Allen Company

Research Associate



Job Responsibilities: 

Research Associates are entry-level analysts who form the project team foundation for client engagements. They are responsible for a wide range of activities from data acquisition to analysis and summarization for client presentations.

This position will:
 
  • With clear guidance, develop search strategy to identify and acquire necessary project data
  • Build datasets for project-specific modeling
  • Demonstrate expertise in either quantitative or qualitative analysis
  • Identify meaningful findings and insights from their analysis
  • Prepare drafts of analytic findings and conclusions in assigned project areas
  • Contribute to formulation of recommendations and development of client presentation material
  • Work both independently and as part of a project team to deliver high quality, error-free work in an efficient manner
  • Report to Partners and Managing Consultants during the course of an engagement
  • Work simultaneously on multiple client engagements
Illustrative data modeling/statistical analyses include linear and non-linear regression analyses; cluster analyses; econometric modeling; hypothesis testing; experimental design; and forecasting.

Typical deliverables include customer targeting; customer segmentation; forecasting; promotional response measurement; resource allocation; and discovering specific marketplace insights.


Job Requirements:


  • Candidates should have a strong academic record with a degree in statistics, economics, operations research, finance, or related quantitative field
  • Strong analytic and quantitative reasoning and enjoy problem solving
  • Relevant work experience as a teaching or research assistant while pursuing a degree or during summer internships is preferred
  • Successful candidates will have excellent interpersonal skills
  • They must be able to communicate complex ideas effectively - both verbally and in writing, work well on teams demonstrating leadership qualities, and handle multiple commitments and frequent deadlines
  • The ideal candidate would have a genuine passion for applying innovative analytics to solve real-world business problems
  • Computer literacy is a must; proficiency in MS Office products and specifically developing Excel-based spreadsheets with macros and visual basic
  • Experience with statistical packages, e.g. SPSS, SAS, or STATA is highly desired

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