Original listing text, shown exactly as published by the company.
Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices.
Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes.
Purpose of Job
This position supports the solutioning and execution of various analytics and data projects for the commercial efforts of pharmaceutical and life science firms. This position is focused on executing customer engagement design and deployment projects utilizing new data sets and solving for specific disease centric commercial problems. This position also functions as an expert in Field force Sizing, Deployment and customer facing field strategy.
We’ll trust you to
- Project delivery and stakeholder management –
- Independently execute customer engagement projects with global teams – Understand project and engagement needs, translate solutions briefs to specific tasks and activities, devise analytical approaches, and manage stakeholder communication (internal and external)
- Design and execute solutions to address specific customer engagement business needs – Sizing, structure, alignment, placement, targeting for field force including auxiliary roles like MSLs, FRMs, PELs etc.
- Work closely with project leads, engagement manager globally as well as associates in the team to conduct high-quality analysis and develop well-structured and impact-driven deliverables
- Establish priorities around project milestones and tasks, flag off potential risks, and come up with mitigation solutions
- Responsible for quality and thoroughness in the analysis and approach for the project
- Solutioning and problem solving
- Think analytically and use a structured approach to understand problems, analyze data, and map out appropriate solutions
- Solution complex business problems around patient solutions, be able to work with structured and unstructured data sets, and devise new ways of analyzing and creating insights
- Firm building
- Contribute to firm-level initiatives including new capability build, templatizing and standardizing approaches for patient solutions
- Develop and maintain knowledge repository, build training plans and templates to ensure upskilling of consultants
- Drive innovation by staying abreast of emerging trends, technologies, and best practices in data science and the pharmaceutical industry
- People management
- Mentor and coach resources on analytical approaches, data sets, and applicable commercial use cases
- Provide guidance and structure to junior resources in projects and through training programs and on-the-job guidance
You’ll need to have
- Graduate/Master’s degree from Tier-I/Tier-II institution/university with a strong academic record
- Demonstrated track record of success in executing and delivering data & analytics engagements to life sciences companies
- At least 7 years of relevant experience delivering data and analytics engagements in the Pharmaceutical/Healthcare industry
- At least 4+ years of experience in working across sales force optimization and deployment
- Strong expertise in using analytics and visualization tools (e.g., Python, R, Alteryx, SAS, Tableau, PowerBI)
- Excellent communication skills and ability to deal with unstructured real-world problems
- Strong passion for understanding and devising solutions for the current issue areas in the pharma industry…
