Consulting Associates are responsible for hands-on execution and delivery of analytical solutions ranging from performing secondary data analysis, designing proprietary market research surveys, working with third-party vendors, and leading components of market and demand modeling initiatives.  Consulting Associates are more senior analysts who have demonstrated the capacity to work independently while collaborating with and assisting junior staff during client engagements.  This position will:Formulate hypotheses against preset issues.Structure approaches and timelines for areas of direct responsibility.With minimal guidance help develop and execute search strategy to acquire project data.Build datasets for project-specific modeling including cleaning, restructuring and validating data.Demonstrate expertise in either quantitative or qualitative analysis.Identify meaningful findings and significant insights.Prepare report outlines and draft conclusion sections of assigned areas of analysis.Contribute to formulation of recommendations in assigned areas.Use exhibits creatively to support findings and conclusions and organize and write sections of presentations, following the report outline.Lead internal discussion and present sections of client presentations to facilitate client buy-in to analytic approach and results.Facilitate client buy-in to analytic approach and results.Make substantive contributions to project in terms of facts and analytic techniques.Abide by firm operating procedures and client policy requirements including pharmacovigilance.Consulting Associates must work both independently and as part of a project team to deliver high-quality, error-free work in an efficient manner; report to Consultants, Managing Consultants and/or Executives during the course of an engagement; and work simultaneously on multiple client engagements.Illustrative data modeling/statistical analyses include general linear models, linear, non-linear and logistic regression analyses; decision tree analysis (CHAID and C&RT); latent class modeling and clustering algorithms; econometric modeling; experimental design and hypothesis testing; ANOVA analysis; survival analysis; time series and forecasting.Typical engagements include; market identification, sizing and prioritization studies; epidemiology studies; new product uptake and demand forecasting; patient flow and journey analysis; market structure analysis; customer segmentation; account potential and performance evaluation; customer targeting; marketing and sales promotion response measurement; resource allocation modeling; and uncovering marketplace insights.
