Decision Analytics Associate Consultant - Growth 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 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.

• Help leading organizations harness the power of data, analytics, and generative AI to solve critical business challenges and create competitive advantage.
• Develop next-generation analytics and AI solutions that enable clients to uncover insights, automate decisions, and transform how their businesses operate.
• Work directly with client executives and business stakeholders to shape analytics roadmaps and identify opportunities for innovation and digital transformation.
• Build scalable data products, intelligent dashboards, and AI-powered applications that drive measurable business outcomes.
• Experiment with emerging technologies and contribute to the development of new analytics, automation, and AI capabilities that expand ZS's market-leading offerings.
• Guide clients through organizational change by driving adoption of analytics and AI solutions across functions, teams, and decision-making processes.
• Collaborate with cross-functional teams, including Analytics, Data Engineering, and Technology partners, to deliver scalable data solutions.
• Support long-term data strategy and enablement initiatives by driving data adoption, governance, documentation, and stakeholder training.
• 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.
• Guide and mentor Associates on teams.

• 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.
• Ability toanalyze and validate data using SQL to identify trends, answer business questions, and ensure data quality.
• Ability to lead project teams, drive end-to-end activities, meet milestones, and provide mentorship/guidance for team growth.
• Strong understanding of RDBMS concepts, SQL, data warehousing and reporting.
• Experience with big data concepts, data management, data analytics and cloud platforms.
• Proficiency in programming languages like Python.
• 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.

• 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