Reporting and Analytics Manager

Role Description:

The Medical Data Analyst, Manager will play a pivotal role in supporting Global Medical Affairs by serving as a strategic leader and a hands-on contributor in the generation of data-driven insights that inform scientific engagement, strategic decision-making, and patient-focused strategies. This role is a key pillar of the Medical Data and Analytics (MDnA) team, requiring a strong blend of leadership, technical expertise, and business acumen to influence cross-functional stakeholders and elevate the impact of medical insights globally.

In this role, you will lead the design and execution of advanced analytical solutions that extract meaningful insights from complex, diverse datasets, translating both structured and unstructured data into actionable intelligence that informs medical strategy and improves patient outcomes.

Key Responsibilities

Lead and support the design, development, and deployment of advanced analytical solutions that deliver actionable insights across Global Medical Affairs.

Manage and mentor a team of analysts and visualization experts, fostering skill development, collaboration, and innovation.

Conduct and oversee data analysis of structured and unstructured sources, including HCP sentiment, scientific engagement, publications, and real-world data.

Translate complex analytics into clear, data-driven recommendations that inform MSL strategies and enhance patient outcomes.

Design and maintain dashboards, reports, and visualizations using tools such as Python, R, SQL, Tableau, and Power BI.

Deliver ad hoc analyses that distill complex medical data into concise, stakeholder-ready insights.

Guide development of KPIs to track performance and ensure alignment with medical and business objectives.

Oversee data quality and access, collaborating with IT, data engineering, and external partners to ensure governance and platform integration.

Drive standardization and scalability through the development of reusable code components, templates, and analytical frameworks.

Participate in Agile workflows, contributing to sprint planning and iterative delivery of prioritized analytics solutions.

Basic Qualifications:

PhD in Computer Science, Engineering, Mathematics, Healthcare or a related field and 2+ years of Medical Data Analytics, Commercial Data Analytics, Primary Market Research, Performance Reporting or related experience

OR

Master’s degree in Computer Science, Engineering, Mathematics, Healthcare or a related field and 5+ years of Medical Data Analytics, Commercial Data Analytics, Market Research, Performance Reporting or related experience

Bachelor’s degree in Computer Science, Engineering, Mathematics, Healthcare or a related field and 7+ years of Medical Data Analytics, Commercial Data Analytics, Market Research, Performance Reporting or related experience

Preferred Qualifications:

Experience leading advanced analytics initiatives in biotech or pharmaceutical settings, including HCP and patient-level analytics, subnational market insights, and field force optimization across multiple therapeutic areas.

Proficient in SQL and Python for data extraction, transformation, and analysis with the ability to guide and review technical work to ensure alignment with business objectives.

Demonstrated ability to build and scale data models for scenario planning and forecasting at both the operational and executive levels.

Experience designing executive-level dashboards and visualizations using tools like Databricks, Tableau, or Power BI to communicate trends, insights, and performance metrics.

Strong conceptual problem-solving skills, with a proven ability to bring clarity to ambiguity and structure to loosely defined analytical challenges.

Experience translating complex and evolving business needs into clear analytical strategies, ensuring deliverables meet stakeholder requirements and timelines.

Skilled in preparing and delivering medical communications, both written and oral, with a focus on simplifying complex data into actionable insights.

Familiarity with analytics for service optimization, including use cases related to automation, service delivery, capacity planning, or digital collaboration platforms.

Project management experience, including leading agile ceremonies, writing user stories, and tracking performance through defined KPIs to ensure alignment with business goals.

Soft Skills:

Exceptional collaboration and verbal and written communication skills.

Ability to manage multiple priorities successfully.

Team-oriented with a focus on achieving team goals.

Strong presentation and public speaking skills.

Strong ability to inspire and lead teams, fostering collaboration and accountability.

Proactive approach to identifying challenges and implementing data-driven solutions effectively.

Flexibility to manage evolving priorities in a fast-paced, dynamic environment.