Consultant / Senior Consultant - Analytics

Primary Responsibilities

• Design and execute sophisticated analytical solutions across the product lifecycle, including forecasting (early-stage through post-launch), commercial modeling & market assessments, market access analytics, marketing analytics and field operations analysis
• Develop and apply advanced statistical models and techniques (e.g., segmentation, regression, conjoint analysis, scenario simulation) to inform commercial decision-making
• Lead the development of analytical frameworks, dashboards, and tools that enable clients to make data-driven decisions
• Structure and synthesize complex datasets from 3rd-party sources (IQVIA, Komodo, Veeva, MMIT, claims/EMR data) and internal client databases to generate actionable insights
• Translate complex analytical findings into clear, compelling narratives for both technical and non-technical audiences
• Develop high-quality client deliverables including presentations, written reports, and executive summaries
• Present analyses and strategic recommendations to client teams, articulating commercial implications with clarity and confidence
• Collaborate with cross-functional project teams to ensure analytical workstreams align with overall project objectives and timelines
• Apply structured problem-solving to decompose ambiguous business challenges into executable analytical plans
• Identify key insights, opportunities, and risks that inform corporate and commercial strategies—always anchoring findings in the “so what”
• Own analytical rigor and quality control end-to-end throughout the project lifecycle
• Proactively identify opportunities to enhance BMI’s analytical approaches, tools, and methodologies
• Mentor and coach Associates and Associate Consultants on analytical techniques, project execution, and professional development
• Contribute to BMI’s analytical capabilities through knowledge sharing, training sessions, and best practice development
• Support recruitment efforts and participate in candidate assessment

Technical & Domain Expertise

• Demonstrated expertise in pharmaceutical quantitative modeling and commercial analytics
• Proficiency with core 3rd-party datasets (provider unit data, payer access data, analog sales data)
• Advanced analytical skills including statistical modeling, forecasting, and financial modeling
• Proficiency with analytical tools (Python, R, SQL, SAS) and visualization platforms (Tableau, Power BI)
• Ability to translate raw data into impactful client presentations with actionable, strategically grounded insights
• Excellent communication skills across internal and client-facing contexts
• Demonstrated ability to integrate business and industry knowledge into creative analytical solutions
• Comfort navigating ambiguity and managing competing priorities across multiple workstreams

Qualifications

• Advanced degree preferred (PhD, MD, MBA, or MS) in a quantitative field, life sciences, or business
• 4–7 years of quantitative analytical experience, preferably in life sciences consulting or the pharmaceutical industry (Consultant: 4-6 years, Senior Consultant: 5-7 years)
• Demonstrated career progression and increasing ownership of client deliverables