Associate 516

About Beghou

Beghou helps life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. They develop go-to-market strategies, build data analytics infrastructures, and leverage artificial intelligence to improve customer insights and engagement, maximizing performance across portfolios. Beghou also deploys proprietary and third-party technology solutions for forecasting, territory design, customer data management, and reporting on medical and commercial data. Headquartered in Evanston, Illinois, Beghou has 10 global offices.

About the Role

This role supports client engagements by delivering high-quality analytical insights and data-driven solutions to complex business problems within the pharmaceutical domain. The incumbent will work with diverse data sets, leverage advanced analytical and visualization tools, and collaborate closely with cross-functional and global teams to ensure timely, accurate, and impactful project outcomes. This role is designed to develop strong problem-solving, technical, and client-facing capabilities.

Key Responsibilities

• Leverage problem-solving skills to devise solutions to client business problems.
• Conduct analysis on complex and multiple pharma data sets.
• Work on analytical and visualization tools such as R/Python/Tableau/SQL.
• Deliver task/client deliverables through a structured project management approach.
• Ensure quality control in accordance with guidance from the project manager.
• Work with the Team/Project lead in all business-related tasks/activities, building project documentation and a knowledge repository.
• Take ownership of assigned project tasks and deliver projects with high quality, timeliness, and client satisfaction.

Requirements & Tech Stack

• Proficiency in using analytical and visualization tools (e.g., Excel, Python, R, SAS, SQL, Tableau, PowerBI).
• General stats knowledge is a plus.

Qualifications

• Engineering/Master’s Degree from a Tier-I/Tier-II institution/university with evidence of strong academics and aptitude.
• Industry experience in analytics and technology (0-2 years for Associate).
• Strong organizational and task management skills.
• Strong written and verbal communication skills.
• Ability to operate effectively in an international matrix environment with global clients/stakeholders.