Brand Analytics Director

Responsibilities

• Develop a deep understanding of internal customers’ data and analytical needs, with a focus on customer-facing model leadership.
• Design and implement analytical solutions for business opportunities, customer segmentation and targeting, HCP and patient opportunity identification, return-on-investment analytics, optimal resource and budget allocation across Sales and Marketing channels, patient and prospective analytics, smart business experiments (test and learn), and market simulation and patient flow modelling.
• Coordinate the procurement of syndicated and custom, primary and secondary datasets.
• Champion the use of local customer insight in strategic and resourcing decisions across the business.
• Collaborate with Commercial, Sales Force Operations and Market Access teams on key business processes and joint initiatives.
• Identify and prioritize enhancements and new analytic capabilities, and lead their development, deployment and embedding across the organization, including AI and automation use cases.
• Instill a culture of continuous improvement, testing and deployment of new capabilities, and develop innovative analytical practices that sustain competitive advantage.
• Summarize and present findings through various communication channels, with clear implications and recommended actions for senior leaders.
• Apply deep technical knowledge shared across the functional area, such as key datasets and modelling capabilities, and understand how this work integrates with that of colleagues.
• Monitor the external environment for leading analytic capabilities, inside and outside pharma, that can be applied within the organization.

Requirements

• 5+ years of experience applying advanced methods and statistical procedures to large and disparate datasets, specifically:
• Statistical analysis and modelling: design of experiments, time series, regression, applied econometrics and Bayesian methods.
• Data mining, predictive modelling and machine learning algorithms.
• 2+ years of recent experience and proficiency with Python, R, SQL and big data technology (Hadoop ecosystem, Spark) or equivalent cloud platforms such as Databricks.
• Working knowledge of data visualization tools such as Power BI, Tableau, MicroStrategy, Qlikview, D3js or similar.
• Proficiency in Excel and PowerPoint.
• Working experience with generative AI and AI-assisted analytics tools (e.g., Databricks Genie, Copilot) and a track record of applying them to improve analytical speed, quality or automation.
• Proficiency in manipulating and extracting insights from large longitudinal data sources, such as claims, EMR and other patient-level datasets.
• Expertise in managing and analyzing a range of large secondary transactional databases.
• Quantitative Bachelor’s degree from an accredited college or university in Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science, Data Science or a related field. An advanced degree (Master’s, MBA or PhD) is preferred.

Preferred

• Strong leadership and interpersonal skills, with demonstrated ability to work collaboratively with many business leaders and cross-functional partners.
• Strong communication and influencing skills, with demonstrated ability to present succinct, compelling reviews of independently developed analyses that carry insight and business implications and actions.
• Strategic and critical thinking, with the ability to build and maintain credibility with the Commercial Leadership Team.
• Strong organizational and time management skills; ability to manage a diverse range of simultaneous projects.
• Experience leading AI or automation pilots and scaling them into governed, repeatable team capabilities; familiarity with responsible AI, model validation and change leadership.

Benefits

• Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.