Decision Analytics Associate Consultant - HEOR & RWE engagement

Role Description

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 on real-world patient-level datasets, guiding analytical strategy and translating findings into client-ready insights on treatment patterns, disease burden, and outcomes.
• Leverage analytic techniques on patient-level data to guide senior client and ZS team decision-making; take ownership of evidence generation workstreams and deliver solutions with minimal supervision.
• Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs; lead development of streamlined analytical dashboards to communicate complex findings to stakeholder audiences.

• 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 

• Prior experience in pharma analytics, real-world evidence, or market access is strongly preferred, including handson exposure to patient-level datasets such as Symphony Health, IQVIA, or Purple Lab — with understanding of claims data structure, coding logic, and data quality considerations. Experience with patient journey analytics concepts such as line-of-therapy sequencing, adherence and persistence, and treatment gap analysis is a plus.
• Advanced SQL proficiency is a strong requirement, including hands-on experience with window functions (ROW_NUMBER, RANK, DENSE_RANK, LAG/LEAD, running totals, partitioned aggregations) for patient-level data querying, cohort construction, and complex healthcare dataset manipulation.
• 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. 

• Close attention to detail, with a quality-focused mindset. 

• Self-discipline for planning and organizing tasks. 
• Aptitude for, and enjoyment of, working in teams.
• Fluency in English
• Client-first mentality
• Intense work ethic
• Collaborative spirit and problem-solving approach