Job description

We'll trust you to - Lead cross-functional project teams in the design and development of high-quality deliverables for clients. - Provide strategic advice on project direction, resource management, and timelines, while assuming 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, communicating results to both internal and external teams. - Independently manage projects, handling client communications, meeting facilitation, and timelines, serving as a primary point of contact with minimal oversight. - Develop and optimize data processes, utilizing coding where necessary to facilitate efficient 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 to drive organizational growth. - Provide mentorship and guidance to junior team members, overseeing their professional development and encouraging continuous improvement and innovation within the team. You will need to have - Bachelor’s or advanced degree with at least 4 years of relevant professional experience, preferably in the pharmaceutical or life sciences industry. - Good understanding of Pharmaceutical commercial functions, including Data Management, Sales Operations, Commercial Analytics, and BI/Reporting. - Strong proficiency in Microsoft Office tools (Word, PowerPoint), with advanced expertise in Excel. - Knowledge of coding languages (SAS, Python, R, VBA, etc.) and experience with data visualization software (Tableau, Power BI) is highly preferred. - Excellent analytical and quantitative skills, with a proven ability to solve complex problems. - Exceptional communication skills, both written and verbal. - Demonstrated organizational, time management, and project management skills, with the ability to lead teams and manage multiple projects simultaneously. - Strong ability to collaborate, adapt quickly, and work effectively in a fast-paced environment. - Familiarity with industry best practices in data analytics within the pharmaceutical sector.

Requirements