Associate Director, Advanced Analytics - Neurology

Role Summary

Lead end-to-end analytics, insights, and performance measurement to inform Neurology commercial strategy, forecasting, and brand execution. Translate data into actionable insights that shape marketing, field execution, and customer engagement. Collaborate with Neurology BU stakeholders and data strategy to ensure the right datasets are sourced, governed, and leveraged to drive business impact.

Responsibilities

• Lead the development and implementation of the Neurology BU analytics plan, ensuring alignment with strategic imperatives and business needs.
• Lead performance reporting and analytics, including dashboards, KPIs, and business readouts tied to strategic objectives and definitions of success.
• Lead advanced analytics initiatives such as opportunity assessments, predictive modeling, patient finder, next-best-action approaches, segmentation, and targeting.
• Develop data-driven insights and analytic approaches that effectively frame and address priority business questions.
• Develop robust sub-national analytics, championing the integration of local market insights into execution and resource optimization.
• Develop integrated insights by synthesizing primary and secondary research, market dynamics, competitive trends, and performance analytics.
• Proactively identify opportunities through descriptive, prescriptive, and predictive analytics to influence brand strategy, investment decisions, and growth initiatives.
• Partner with key Neurology BU stakeholders (Marketing, Sales, Access, Finance, Operations, CSI&A, Data Strategy, Incentives & Alignment) to translate insights into action and influence strategic decisions.
• Partner with Data Strategy Management to ensure the right datasets are sourced, governed, and leveraged appropriately.
• Manage external vendors and analytics partners to ensure analytical deliverables are accurate, actionable, and aligned with business goals.
• Collaborate with Market Research teammates to integrate qualitative and quantitative learning into a cohesive narrative.
• Ensure compliance with privacy, security, and regulatory requirements across all analytical workstreams.
• Execute sub-national, HCP, patient, and market opportunity analyses to inform targeting, resource allocation, and field execution strategies.
• Execute ongoing reporting and business review deliverables, including Integrated Business Reviews (IBRs), Quarterly Business Reviews (QBRs), and strategic planning.
• Execute rigorous analyses using advanced statistical, coding, and BI tools, including SQL, Python/PySpark, R, SAS, Tableau, Qlik, or equivalent.
• Measure and track performance against success metrics and business expectations; develop insights that guide course correction.
• Create compelling presentations and data stories that communicate complex analytical outputs in a clear, concise, and business-oriented way.
• Recommend evidence-based business-building ideas supported by analytics and integrated insights.

Qualifications

• Demonstrated success leading end-to-end analytics, performance measurement, and market research integration to influence commercial decisions.
• Extensive experience with secondary/syndicated datasets (claims, EHR, lab, SP, HUB, distribution, formulary/access, etc.).
• Hands-on expertise in SQL, Python/PySpark, R, SAS, or equivalent statistical coding environments.
• Experience with data visualization and BI tools (Tableau, QlikView, MicroStrategy, Oracle BI, Cognos, Spotfire, etc.).
• Ability to translate complex data into clear business implications for senior leadership.
• Strong communication, presentation, and storytelling skills with the ability to build rapport and influence across all levels of the organization.
• Proven success managing multiple complex projects in a fast-paced environment, delivering high-quality results under tight timelines.
• Strong strategic thinking, problem-solving capability, and analytical rigor.
• Demonstrated cross-functional collaboration and the ability to drive alignment across diverse stakeholder groups.
• Understanding of privacy, regulatory, legal, and compliance frameworks relevant to analytics and data use in biopharma.

Education

• Bachelor’s degree required; MBA/Master’s degree preferred.