What You'll Do - Apply advanced analytics and data-driven problem-solving to address key business challenges within the pharmaceutical and life sciences industry.
- Develop and apply advanced statistical models that help clients understand dynamic business issues.
- Leverage analytic techniques to guide client and ZS team decision-making using data-driven insights.
- Design custom analyses in R, Tableau, SAS, Visual Basic, Excel, and other analytical tools to investigate and address client needs.
- Partner with senior client stakeholders to translate business questions into actionable analytical solutions and strategic recommendations.
- Lead end-to-end project execution, including project planning, workstream management, stakeholder communication, and delivery of high-impact client engagements.
- Leverage emerging AI and machine learning capabilities to enhance analysis, improve decision-making, and drive innovative client solutions.
- Synthesize findings and present insights and recommendations to senior client leaders and cross-functional stakeholders through compelling oral and written communications.
- Develop and maintain client relationships, serving as a key point of contact throughout project engagements.
- Provide regular project status updates and manage deliverables to ensure successful outcomes for clients and ZS teams.
- Create impactful project deliverables and support the implementation of client solutions.
- Advance problem-solving approaches and contribute to the development of ZS's analytical capabilities and thought leadership.
- Coach, mentor, and guide junior team members while fostering collaboration, professional development, and team success.
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.
- 2-4 years of experience in data analytics, business analytics, consulting, or related quantitative roles, preferably within the pharmaceutical, biotechnology, healthcare, or life sciences industries.
- Demonstrated knowledge of pharmaceutical commercial analytics, including areas such as forecasting, patient analytics, market access, sales analytics, customer analytics, or real-world data applications.
- Experience leading projects and managing multiple priorities in a fast-paced, client-facing environment.
- Proven ability to influence and communicate effectively with senior stakeholders and executive-level audiences.
- Experience applying AI, machine learning, generative AI, predictive analytics, or advanced analytical techniques to solve business problems within the last three years.
- Prior experience mentoring, coaching, or leading junior team members on project teams.
- Strong proficiency with analytical and visualization tools such as Python, R, SQL, Tableau, Power BI, SAS, or similar technologies.
- 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.
Preferred Background- Experience supporting pharmaceutical, biotechnology, healthcare, or life sciences clients through data-driven decision-making and analytics initiatives.
- Consulting experience and exposure to commercial pharma functions such as brand strategy, forecasting, market access, patient services, or field operations preferred.
How you'll grow:- Cross-functional skills development & custom learning pathways
- Milestone training programs aligned to career progression opportunities
- Internal mobility paths that empower growth via s-curves, individual contribution and role expansions
Perks & Benefits:At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.
Hybrid working model:We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
