Decision Analytics Associate Consultant - Pharma

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.

 

Insights & Analytics 

ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.    

 

What You’ll Do:  

• Develop and apply advanced statistical models that help clients understand dynamic business issues. 

• Leverage analytic techniques to use data to guide client and ZS team decision-making. 

• Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs. 

• Synthesize and communicate results to clients and ZS teams through oral and written presentations. 

• Develop client relationships and serve as key point of contact on aspects of projects. 

• Provide client and ZS teams project status updates. 

• Create project deliverables and implement solutions. 

• Advance problem-solving skills and improve ZS’s capabilities; 

• Guide and mentor Associates on teams. 

 

What You’ll Bring: 

• Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. 

• 2-4 years of relevant post-collegiate job experience. A PhD may substitute in lieu of work experience. 

• High motivation, good work ethic, maturity and personal initiative. 

• Strong oral and written communication skills. 

• Empathy, adaptability and emotional intelligence.