Director, Business Analytics, Oncology - Lung

Role Summary

Director, Business Analytics, Oncology - Lung

Responsibilities

• Development and execution of analytics plans and individual projects that inform business decisions for Oncology (Lung)
• Performance reporting and understanding based on key strategic imperatives, business questions and definition of success.
• Identification of business needs and propose potential analytics approaches and solutions.
• Data strategy for Oncology (Lung), while maintaining a portfolio view.
• Conducting subnational analyses, and championing the use of local customer insights
• Opportunity identification and assessment, leveraging descriptive, prescriptive and predictive analytics (e.g., patient finder, next best HCP, etc.)
• Segmentation and targeting
• Delivering the analytics necessary for strategic workstreams, e.g., strategic planning, commercial business reviews, etc.
• Informing data strategy and acquisition

Partnership and collaboration

• Develop and maintain a mutually beneficial partnership with stakeholders across Oncology (Lung) CBU and CSI&A; strike a balance between project rigor, timelines and ability to influence decisions. Manage analytics suppliers and workbench to design, scope, execute and analyze data in the development of business implications.
• Collaborate with the Oncology CBU, and CSI&A colleagues to influence data and analytics capabilities and stay informed on the market landscape and competitive outlook.
• Work closely with Customer Insights partners to effectively measure brand performance via secondary data sources; address related questions from senior leadership.
• Comply with regulatory, security, and privacy requirements as it relates to data assets.

Develop

• Develop innovative analytics plans that align with strategic imperatives for Oncology (Lung), demonstrating an ability to translate insights gaps into key business questions and inform the optimal analytics and cross-functional approach.
• Proactively recommend analytics projects/workstreams that inform critical brand decision-points and address brand opportunities and challenges.

Partnership and collaboration

• Develop and maintain a mutually beneficial partnership with stakeholders across Oncology (Skin) CBU and CSI&A; strike a balance between project rigor, timelines and ability to influence decisions.
• Manage Market research suppliers, Data Vendors, IT internal/external partners to design, scope, execute and analyze results and develop business implications.
• Collaborate with the Oncology CBU, and CSI&A colleagues to influence data capabilities and stay informed on the market landscape and competitive outlook.
• Work closely with Advanced Analytics partners to effectively measure brand performance via secondary data sources; address related questions from senior leadership.

Execute

• Conduct key analytics including, subnational analyses, use of local customer insights, segmentation, targeting, opportunity identification and assessment, leveraging descriptive, prescriptive and predictive analytics (e.g., patient finder, next best HCP), etc.
• Manage performance reporting/dashboards and understanding based on key strategic imperatives and business questions.
• Deliver analytics necessary for strategic workstreams, including business reviews, financial reviews, strategic planning etc.
• Synthesize insights and analyses from a variety of sources (analytics, marketing research, competitive intelligence, secondary data) to inform strategic choices and decisions; develop and present findings to business teams and senior management.
• Consolidate and integrate a variety of data and information into actionable and differentiating insights that identify business opportunities/strategies, keeping in mind portfolio implications.
• Create compelling presentations that communicate complex insights in a manner that is easily understood and actioned upon.
• Recommend reasonable, evidence driven business-building ideas, while encouraging the use of customer and market insights to inform strategic business decisions.

Qualifications

• Minimum BS with 12+ (or MS with 10+) years of pharmaceutical/biotech commercial experience, in roles of increasing accountability; prior experience with market-leading brands required and oncology-specific experience is desired.
• BS/BA in STEM related field, e.g., Statistics, Econometrics, Mathematics, Business Analytics, Marketing Research, etc.; Advanced degree preferred.
• Experience working with Oncology datasets, including prescription, sales data and claims/patient level data sets inclusive of pharma data sources such as IQVIA, Symphony, etc.
• Experience coding in SQL, Python/PySpark, R and/or SAS (BASE, STAT, SQL, Macros).
• Experience in AI/ML methodologies.
• Experience in data visualization and reporting working with commercial business intelligence tools required (e.g., PowerBI, Tableau, QlikView, Oracle BI, Microstrategy, Cognos, Spotfire or similar tools).
• Advanced proficiency in Excel, and PowerPoint required
• Proficiency in manipulating and extracting insights from large longitudinal data sources, such as claims and other patient level datasets.
• Experience in segmentation and targeting.
• Expertise in managing and analyzing a range of large, secondary transactional databases.
• Experience in data mining, descriptive analytics, application of statistical methods, analyses and modeling, predictive modeling, opportunity assessment and quantification, and simulation.
• Communication and influencing skills with demonstrated ability to succinctly and effectively present compelling reviews of analyses that integrate insights and business implications/actions to be considered.
• Demonstrated flexibility, leadership, influence and emotional intelligence in working across stakeholders.
• Extensive experience managing numerous projects concurrently against stringent deadlines in a fast-paced, timeline-driven atmosphere.
• Strong analytical skills and strategic thinking ability
• Concise and impactful written and verbal communication skills
• Demonstrated experience in influencing and driving decision making.
• Expertise in data visualization and data storytelling of data analytics findings.