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
- 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.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
Work Authorization:
This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.
To complete your application:
An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com
Salary: $120,000.00 - $137,000.00
Skills Required
- Bachelor's or Master's degree in operations research, applied mathematics, management science, data science, statistics, econometrics, engineering, or related quantitative field
- 2-4 years of experience in data analytics, business analytics, consulting, or related quantitative roles (PhD may substitute for experience)
- Demonstrated knowledge of pharmaceutical commercial analytics (forecasting, patient analytics, market access, sales analytics, customer analytics, real-world data)
- 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
- Strong proficiency with analytical and visualization tools such as Python, R, SQL, Tableau, Power BI, SAS, Excel
- Fluency in English and strong oral and written communication skills
- Consulting experience and exposure to commercial pharma functions (brand strategy, forecasting, market access, patient services, field operations)
ZS Compensation & Benefits Highlights
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Parental & Family Support — ZS provides partnership with Carrot offering up to $95,000 for fertility and family planning, backup care via Bright Horizons, Milk Stork support, and 10 weeks of paid family/parental leave (with up to 16 weeks for birth mothers in some materials). This breadth stands out as a core strength across its U.S. package.
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Healthcare Strength — Health and protection offerings include full medical, dental and vision (with in-network exams 100% covered and a $300 eyewear allowance), basic life up to 3x salary, disability, long-term care at no cost, and supplemental options. These elements position core coverage as comprehensive.
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Inclusive Benefits Coverage — Public materials cite transgender-inclusive healthcare, HIV services, domestic partner eligibility, and LGBTQIA+ benefits guides alongside broad dependent coverage. This points to inclusive policies that extend meaningful access to diverse employee groups.
ZS Insights
What We Do
ZS is a management consulting and technology firm that partners with companies to improve 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. Founded in 1983, ZS has more than 15,000+ employees in over 40 offices worldwide.
Why Work With Us
ZS is home to passionate people who embrace innovative thinking, collaboration and a client-first mindset. Welcome to a company where new ideas are celebrated, curiosity is welcomed, learning opportunities are abundant and colleagues become lifelong connections.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
The Flexible & Connected model is our ZS standard. ZSers decide where it makes the most sense for them to work each day given client or teamwork.













































































