Online Application
Americas Analytic Services - Senior Analyst, Pharmaceutical Marketing - Waltham
Who you’ll work with

You’ll be working with our Analytics group in Waltham, co-located with our Knowledge Center colleagues. As a member of this team, you’ll work with McKinsey consulting teams to carry out complex data analysis and modeling, creating a foundation for sound recommendations for client studies and internal projects.

What you’ll do

Leveraging your advanced data analysis skills, you will create innovative approaches to answer our clients’ most relevant questions.

You will analyze and evaluate large quantities of data in relational databases and unstructured forms of data, effectively balancing quality, availability, timeliness, and cost factors. Additionally, you’ll work on a large variety of problems across some of the most challenging topics in Pharmaceutical Marketing, Commercial Operations and Management Science that our clients face, including field force optimization, promotional response modeling, targeting, and incentive compensation.

Your work will be project-oriented: you will often be responsible for the entire analytical process — from outlining the type of solution through implementation, interpretation of results and transferring capabilities to the client or colleagues. Some work at the client site is expected. Working on projects and exchanging experiences with your colleagues means you will face new intellectual challenges on a daily basis, while continuously building your methodological knowledge and skills.

Qualifications
  • Master’s degree with an excellent record of academic achievement required; focus in Statistics, Mathematics, Business Analytics, or related field is required; PhD is a plus
  • 3-5 years experience in an analytics role related to pharmaceuticals, medical products, and life sciences
  • Advanced knowledge of machine learning (regression, decision trees, clustering, random forests, generalized linear models, etc.), statistical techniques, data mining
  • Proficiency in R and/or SAS required; additional knowledge of other statistical software (SPSS, RapidMiner, etc.) helpful
  • Experience working with large datasets (SQL)
  • Knowledge of typical pharmaceutical data sources (physician-level prescribing, institutional sales data, patient-level data, etc.) and promotional response modeling
  • Knowledge of visualization platforms (Tableau, TIBCO Spotfire, Alteryx, etc.) is helpful
  • Ability to independently own and drive model development, balancing demands and deadlines
  • Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions
  • Ability to work collaboratively in a team environment
  • Ability to work effectively with people at all levels in an organization
  • Skills to communicate complex ideas effectively

What to Expect


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