Decision Analytics Associate Consultant - Commercial Revenue Forecasting

ZS Insights & Analytics

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.

ZS's Insights & Analytics group partners with clients to design and deliver solutions that address complex business challenges across strategy, commercial effectiveness, forecasting, customer analytics, and business operations. Our teams combine deep industry expertise, advanced analytics, and innovative technologies to help organizations make better decisions and achieve measurable business impact. We work across multiple projects simultaneously, leveraging rigorous problem-solving, data-driven insights, and thought leadership to deliver sustainable value to our clients.

What You'll Do:

• Develop and maintain commercial revenue forecasting models that support product launch planning, lifecycle management, portfolio strategy, business development evaluations, and long-range planning.
• Build patient-based, patient-flow, analog-based, and scenario planning forecasts using diverse data sources and market inputs.
• Analyze key forecast drivers, assess risks and opportunities, and evaluate business scenarios to support strategic decision-making.
• Leverage advanced analytical techniques and quantitative methods to solve complex business problems.
• Design and execute custom analyses using modern analytical tools and technologies to address client needs.
• Partner with cross-functional stakeholders to gather inputs, align assumptions, and support forecast development and planning activities.
• Support forecast governance processes, forecast reviews, and forecast performance assessments.
• Translate analytical findings into actionable business recommendations for client and internal teams.
• Create high-quality project deliverables, analytical models, dashboards, and decision-support tools.
• Manage specific work streams, monitor project progress, and provide timely updates to clients and project teams.
• Contribute to the development of reusable methodologies, automation solutions, and innovative forecasting capabilities.
• Guide and mentor Associates while contributing to team development and capability building.

What You'll Bring:

• Bachelor's or master's degree with a strong record of academic achievement in quantitative disciplines such as Statistics, Data Science, Economics, Engineering, Mathematics, Operations Research, Business Analytics, Computer Science, or related fields.
• 2-4 years of relevant professional experience in analytics, consulting, revenue forecasting, commercial forecasting, market research, commercial operations, or related analytical fields. A PhD may substitute for professional experience.

• Strong problem-solving skills with the ability to structure ambiguous business questions and develop analytical approaches.

• Knowledge of commercial forecasting methodologies including patient-based forecasting, patient-flow forecasting, analog forecasting, scenario planning, and sensitivity analysis.

• Understanding of pharmaceutical and healthcare commercial dynamics, including product launches, treatment pathways, competitive landscapes, pricing and access considerations, and market evolution.

• Experience working with large and complex datasets and generating business insights.

• Proficiency in analytical and visualization tools such as Python, R, SQL, Tableau, Power BI, Excel, or similar platforms.

• Strong verbal and written communication skills.

• Ability to manage multiple priorities in a fast-paced environment.

• Strong…