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Associate Director – Advanced Analytics – Respiratory and CRS
| Company | Sanofi |
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| Location | Cambridge, MA, USA |
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| Salary | $125250 – $208750 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Bachelor’s degree in Business, Finance, Engineering, Mathematics, Computer Science, Data Science, or related discipline
- Minimum of 7 years of Pharmaceutical, Commercial Analytics/Forecasting, Sales Operations, or Consulting experience
- Advanced analytical skills with proficiency in a broad range of programming languages (e.g., SQL, SAS, Python, R, VBA)
- Experience using analytical platforms (e.g. Databricks, Snowpark, Jupyter Notebook, SAS Studio, SQL developers)
- Experience with pharmaceutical data sources (e.g., IQVIA, Symphony, Komodo, Capgemini, SP)
- Hands-on experience with predictive modeling and common ML applications (e.g., classification modeling, clustering/segmentation, marketing mix, and driver analyses)
- Familiarity with data visualization and business intelligence tools (e.g. Qlik Sense, Tableau)
- Advanced knowledge of MS Office (Excel, PowerPoint, Word)
- Strong strategic awareness and business acumen
- Strong proven leadership, communication, and executive presentation skills
- Demonstrated ability to work in a matrixed environment with many cross-functional partners
- Self-starter, proactive in nature, and actively participates
- Ability to understand and influence decisions
Responsibilities
- Partner and work closely with Senior Leadership, Brand and Functional heads to understand their business priorities and questions, providing strategic guidance and ad-hoc support as the Advanced Analytics subject matter expert.
- Work with Brand Analytics colleagues to support & enhance internal data management / analysis platforms to facilitate collaboration, harmonize key deliverables, and drive analytics best practices within the larger Commercial Strategy & Insights team.
- Coordinate with data management to ensure insights are based on reliable, high-quality information.
- Clean, aggregate, and organize data from disparate sources for use in modeling projects.
- Apply data science techniques, such as machine learning, statistical modeling, and artificial intelligence to generate predictive insights – tactical and strategic insights to improve marketing effectiveness.
- Create dashboards to synthesize information and enable business decisions.
- Lead predictive modeling projects (e.g., patient identification, next-best-action, patient journey modeling) with internal and external data science and data engineering partners.
- Provide overarching project direction, including subject matter expertise on data, modeling methodology, outputs, and applications.
- Liaise with business stakeholders to socialize project outputs, facilitate pull-through.
Preferred Qualifications
- Master’s Degree or MBA preferred
- Certification in Data Science or Artificial Intelligence / Machine Learning
- Experience in Immunology or Specialty Care
- Experience working with CRM data systems (e.g. Veeva, Salesforce)
