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Associate Manager – Commercial Operations & Analytics
| Company | Beghou Consulting |
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| Location | Oakland, CA, USA |
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| Salary | $140000 – $170000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- 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.
- 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.
- Advanced analytical and quantitative aptitude, with exceptional problem-solving skills.
- Proven project management and people management skills, with experience as a team leader or manager.
- Knowledge of current trends and best practices in analytics within the life sciences industry.
Responsibilities
- Oversee the development of proposals and ensure that projects meet and exceed quality standards while delivering on time and within budget.
- Build and enhance complex reports, online tools, and data processes; perform advanced analyses and communicate insights effectively to clients.
- Utilize SAS, Python, VBA to facilitate data processing and reporting, ensuring accuracy and efficiency.
- 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 areas for firm growth, creating action plans that include new offerings and improvements to best practices.
- Motivate & guide diverse teams while fostering an innovative, inclusive, collaborative work environment, Support team’s professional development.
- Contribute to management initiatives, including employee engagement, recruitment, training, and ongoing education; contribute to internal initiatives as needed.
Preferred Qualifications
- Strong coding skills (SAS, Python, VBA) and experience with data visualization tools (Tableau, Power BI) are strongly preferred.
