What we are looking for:

Success in consulting hinges on combining analytics and creativity.

Our ideal team member is able to bridge seemingly opposite qualities and behaviors:

• Attentive to detail
• Sees the big picture
• Diligent and service-oriented
• Questions the status quo
• Takes ownership
• Works effectively within a team
• Creates beautiful visuals
• Runs complex regressions
• Grounded fact-checker
• Imaginative story-teller

Entry-level analyst responsible for a wide range of activities from data acquisition to analysis and summarization for client presentations.

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 identify and acquire project data
• Build datasets from secondary sources and/or primary research for project-specific modeling including cleaning, restructuring and validating data. Primary research projects include instrument design, survey QC and testing, as well as analysis and reporting
• Conduct prescribed analysis accurately
• Identify potentially meaningful findings and significant insights from analysis
• Fill data holes as needed to support conclusions
• Prepare simple charts, graphs and supporting report materials for assigned project areas, write key findings
• Summarize findings clearly and contribute to internal discussions
• Identify ways to work more efficiently

Research 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 Partners during the course of an engagement; and work simultaneously on multiple client engagements, demonstrating solid project management skills.

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.

Job Requirements:

• Master’s degree in biostatistics, statistics, epidemiology, economics, mathematics, engineering, operations research, health informatics or related quantitative field from an elite institution, including Ivy League institutions, with a strong academic record
• Relevant work experience as a teaching or research assistant while pursuing an advanced degree or during summer internships is preferred
• Demonstrated analytical skills—understands the advantages and limits of different analytical approaches and studies and their findings including regression, significance testing, clustering algorithms and modeling techniques
• Strong analytic and quantitative reasoning and enjoy problem solving
• Exposure to healthcare, econometric or statistical large scale data set management and analytics in classroom or internship setting
• 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
• Capable of collaborating with client teams members from varied functional areas including market research, business analytics, marketing and market science
• Familiarity with healthcare industry stakeholders, issues and events preferred
• The ideal candidate will have a genuine passion for applying innovative analytics to solve real-world business problems
• Proficiency in MS Office products required, experience developing Excel-based spreadsheets with macros and visual basic. Experience with statistical packages is highly desired, e.g., SPSS, SAS, R, or STATA
• Exposure to Big Data and Business Intelligence tools e.g., SQL, Vertica, Hadoop, Hive, Spark, Tableau; with fundamental understanding of data management principles and programming experience.

How to Apply:

If you are interested in a position at MAC, send your resume or C.V. to careers@michaelallencompany.com.

We will contact you if your qualifications match our staffing needs.