Senior Manager, Commercial Analytics

Role Summary

Senior Manager, Commercial Analytics

Responsibilities

• Recommend and apply appropriate statistical techniques, machine learning algorithms, or predictive models to evaluate hypotheses, uncover insights, and address specific business questions.
• Recommend and design appropriate methodologies to derive insights from relevant data sources. Example areas of focus include: launch performance, promotion evaluation and tracking, ROI, and ad hoc analytical support.
• Interpret and synthesize findings in the context of business questions and develop actionable recommendations.
• Partner with IT and commercial operations to ensure data acquisition and delivery meets needs for analysis, including required IT infrastructure for reports/data.
• Identify appropriate data sources (e.g., claims, hub, payer, primary research, etc) and collate data for analysis.
• Participate in vendor selection, manage select projects/analyses day-to-day with high level of detail, report progress to team leadership, lead interpretation/synthesis of results, and ensure projects remain within budget constraints.
• Participate in formulating the annual commercial analytics budget, delivering the business case for tools/data contracts as appropriate. Manage the administration of assigned budget effectively.
• Stay updated with the latest data analytics tools, techniques, and industry trends.
• Integrate new methodologies to enhance existing processes and continuously improving the quality of insights derived from data.

Qualifications

• Education requirements: Bachelor‚Äôs in Mathematics, Statistics, Finance, Life Sciences, Quantitative Sciences or closely related field.
• Experience requirements: 7 years of experience in analytics
• Alternative Education requirements: Master‚Äôs in Mathematics, Statistics, Finance, Life Sciences, Quantitative Sciences or closely related field.
• Alternative Experience requirements: 5 years of experience in analytics
• Must have experience with each of the following:
  • Work with biopharmaceutical market data (IQVIA/Symphony Health Services data, Komodo, anonymized patient-level data, MMIT).
  • Experience integrating secondary data, primary market research and competitive intelligence to create insights and actionable recommendations.
  • Coding experience utilizing Python, SQL, and R.
  • Experience with statistical modeling and optimization.
  • Experience with collecting and analyzing secondary data.
  • Experience with business intelligence tools: PowerBI, and Tableau.
  • Telecommuting is permitted.

Skills

• Statistical modeling
• Machine learning
• Data analytics
• Data integration
• Python, SQL, R
• PowerBI, Tableau

Education

• Bachelor‚Äôs degree in Mathematics, Statistics, Finance, Life Sciences, Quantitative Sciences or closely related field

Additional Requirements

• Travel requirements: Up to 10% domestic travel required.