Senior Analyst

Responsibilities

Analytics Delivery AI Enablement

• Independently deliver high-quality analytical solutions and AI-enabled insights within agreed timelines, under the guidance of a team lead.
• Apply advanced analytics, decision science, and AI/ML techniques to support US Commercial objectives across brand strategy, omnichannel engagement, and resource allocation.
• Translate business questions into analytical approaches, execute analyses, and synthesize findings into actionable recommendations.
• Ensure adherence to analytical best practices, quality standards, and documentation requirements.

Stakeholder Partnership Strategic Support

• Partner closely with US Commercial stakeholders, Global Analytics, OCx, Marketing, and BIT to understand business needs and contribute to solution design.
• Act as a trusted analytical partner by clearly explaining insights, assumptions, and limitations, and supporting decision-making discussions.
• Support prioritization of business requests by providing effort estimates, impact assessments, and analytical recommendations.
• Contribute to stakeholder presentations, readouts, and working sessions with clear, structured storytelling.

Omnichannel Commercial Insights

• Execute analytics supporting omnichannel strategies across personal and non-personal promotion, including field force, email, web, paid media, social, and third-party platforms.
• Support experimental design, test-and-learn initiatives, and quasi-experimental analyses to assess campaign, content, and channel performance.
• Identify optimization opportunities and proactively surface insights to improve commercial effectiveness.

Team Collaboration Capability Building

• Mentor junior analysts through informal coaching, code reviews, and knowledge sharing.
• Contribute to team capability building by sharing best practices, reusable assets, and analytical frameworks.
• Collaborate effectively within cross-functional and global teams to ensure consistent and scalable analytical delivery.

Technical Execution Data Stewardship

• Build and maintain analytical assets including datasets, models, dashboards, and automation workflows.
• Work closely with BIT and data engineering teams to troubleshoot data issues and ensure reliable, timely data availability.
• Ensure analytical outputs are reproducible, well-documented, and aligned with governance and compliance standards.

Skills Competencies

• Strong written and verbal communication skills with the ability to translate complex analytics into clear business insights.
• Solid project execution and organizational skills, with the ability to manage multiple analyses in parallel.
• Strong analytical thinking and problem-solving skills, with attention to detail and data quality.
• Hands-on expertise in applied statistics, analytics, and AI/ML techniques.
• Collaborative mindset with the ability to work effectively in a matrixed, stakeholder-driven environment.
• Curiosity and passion for learning, innovation, and continuous improvement in analytics.

Experience Qualifications

• BA/BS required; advanced degree preferred, especially in life sciences, computer science, mathematics, statistics, data science, or engineering.
• 3+ years of professional experience in advanced analytics, decision science, or AI-driven roles.
• Proven experience delivering end-to-end analytics projects, from problem framing to insight delivery.
• Demonstrated ability to partner with business stakeholders and support data-driven decision making.
• Experience in pharmaceutical, biotech, or healthcare industries preferred.
• Understanding of how data, analytics, and AI can be applied to solve commercial business problems.

Technical Skills (Preferred)

• Predictive and statistical analytics using Python and/or R; exposure to AI/ML and text analytics (e.g. NLP, clustering, propensity models, uplift modeling).
• Data visualization and dashboarding tools (e.g., R Shiny, Dash, or similar platforms).
• Experience working in collaborative analytics environments (e.g., Databricks, SharePoint, Git-based workflows).
• Familiarity with omnichannel, digital marketing, and commercial data source.

If you come across a role that intrigues you but doesn t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.