Salary
💰 $100,000 - $150,000 per year
Tech Stack
AWSAzureCloudGoogle Cloud PlatformPythonTableau
About the role
- Lead cross-functional project teams to design and deliver high-quality client deliverables
- Provide strategic advice on project direction, resource management, and timelines
- Assume responsibility for key data analytics tasks to support internal teams and clients
- Collaborate with leadership to define project scope, approach, and development strategies
- Analyze data, synthesize findings, and develop actionable insights for stakeholders
- Independently manage projects, client communications, meeting facilitation, and timelines
- Develop and optimize data processes, utilizing coding where necessary for data handling and reporting
- Coordinate with global and diverse teams to ensure seamless project execution
- Engage in business development activities and contribute to internal firm initiatives
- Mentor and provide guidance to junior team members, overseeing professional development
Requirements
- Bachelor’s or advanced degree with 4+ years of experience in data science
- Demonstrated success executing data & analytics engagements in life sciences or healthcare
- Preferred expertise in drug commercialization analytics (sales force analytics, omnichannel, attribution modeling)
- AI/ML experience required; Gen AI experience a plus
- Strong hands-on expertise in analytics and visualization tools (Python, Alteryx, Tableau, PowerBI)
- Experience with cloud platforms (AWS, Azure, or GCP) including deploying and managing cloud-based solutions
- Advanced proficiency in Microsoft Office (Word, PowerPoint) and Excel
- Good understanding of Pharmaceutical commercial functions (Data Management, Sales Operations, Commercial Analytics, BI/Reporting)
- Excellent analytical and quantitative skills
- Exceptional written and verbal communication skills
- Organizational, time management, and project management skills; ability to lead teams and manage multiple projects
- Ability to collaborate and adapt quickly in a fast-paced environment
- Familiarity with industry best practices in pharmaceutical data analytics
- Must be legally authorized to work in the United States; sponsorship not available