About ZS
ZS is a global management consulting and technology firm dedicated to improving how we live by combining data, science, technology, and human ingenuity. Our teams collaborate with clients to design custom solutions that deliver measurable business impact across industries, particularly in healthcare and life sciences.
Role Overview
As a Decision Analytics Associate, you will work within the Insights & Analytics group to solve diverse business challenges through advanced data analysis and problem-solving techniques. You will collaborate with clients and internal teams to develop models, conduct research, and present actionable insights.
Key Responsibilities
- Develop and apply advanced statistical models to address complex business problems.
- Leverage data-driven techniques to guide decision-making for clients and internal teams.
- Design and execute custom analyses using tools such as R, Tableau, SAS, VBA, and Excel.
- Communicate findings effectively through presentations and reports.
- Build and maintain client relationships, serving as a primary point of contact for project aspects.
- Monitor project progress, create deliverables, and implement solutions.
- Mentor junior associates and contribute to capability development at ZS.
Required Qualifications
- Bachelor's or Master's degree in a quantitative or analytical discipline such as operations research, applied mathematics, management science, data science, statistics, econometrics, or engineering.
- 0–3 years of relevant professional experience.
- Proficiency in at least one programming language (e.g., Java, Python, R).
- Experience with analytic tools and platforms such as SAS, Tableau, VBA, or Hadoop ecosystem.
- Strong communication, problem-solving, and teamwork skills.
- Attention to detail and ability to manage multiple priorities.
Perks & Benefits
- Comprehensive health and wellness programs.
- Financial planning support.
- Generous annual leave policies.
- Professional development opportunities and career progression paths.
- Flexible work arrangements combining remote and on-site presence.
