Associate Manager, Commercial Operations & Analytics

In this role you will oversee and develop client proposals, ensuring methodological soundness while consistently delivering exceptional services within timelines and budgets. You will leverage your coding skills to enhance reporting and data processes, drive client engagement, and identify growth opportunities for the firm. This role requires effective leadership of diverse teams and mentorship of junior members, contributing to their professional development and the overall growth of our practice areas.

We'll Trust you to:

• Lead Impactful projects- Oversee the development of proposals and ensure that projects meet and exceed quality standards while delivering on time and within budget.
• Develop Data-Driven Solutions: Build and enhance complex reports, online tools, and data processes; perform advanced analyses and communicate insights effectively to clients.
• Leverage Coding skills: Utilize SAS, Python, VBA to facilitate data processing and reporting, ensuring accuracy and efficiency.
• Drive Client Success: Grow external client engagements, own key aspects of client relationships, and ensure satisfaction.
• Monitor project progress, manage risks, and keep stakeholders informed of outcomes; manage financial aspects of projects, including drafting SOWs and managing invoices.
• Identify Growth Opportunities: Identify areas for firm growth, creating action plans that include new offerings and improvements to best practices.
• Lead and Mentor Teams: Motivate & guide diverse teams while fostering an innovative, inclusive, collaborative work environment, Support team's professional development
• Support Organizational Development: Contribute to management initiatives, including employee engagement, recruitment, training, and ongoing education; contribute to internal initiatives as needed.

What You Bring:

• Education & Experience: Bachelor's or advanced degree with at least 6 years of professional experience in data and analytics within the life sciences or pharmaceutical industry.
• Strong understanding of Pharmaceutical commercial functions, including Data Management, Sales Operations, Commercial Analytics, and BI/Reporting.
• Technical Expertise: Strong coding skills (SAS, Python, VBA) and experience with data visualization tools (Tableau, Power BI) are strongly preferred. Proficiency in Microsoft Office (PowerPoint, Word) with advanced Excel skills
• Analytical Skills: Advanced analytical and quantitative aptitude, with exceptional problem-solving skills.
• Project & People Management: Proven project management and people management skills, with experience as a team leader or manager.
• Industry Knowledge: Knowledge of current trends and best practices in analytics within the life sciences industry.