Top Data & Analytics Jobs

The Decision Analytics Associate Consultant will develop statistical models and utilize analytics to aid Health Plan clients in understanding and solving business issues. Responsibilities include data analysis, relationship management with clients, project management updates, and mentoring team members.

The Data Strategy Manager will help deliver data strategy solutions for Life Science clients, focusing on operating models, data governance, data sourcing, and compliance. Responsibilities include project management, client relationship building, and staying current with data trends.

The Decision Analytics Associate Consultant develops advanced statistical models and AI techniques to help clients solve dynamic business challenges, especially in customer experience. Responsibilities include leveraging data analysis, implementing AI solutions, designing custom analyses using various tools, synthesizing results, managing client relationships, and mentoring team members.

As a Decision Analytics Associate at ZS, you will develop advanced statistical models, leverage analytic techniques to guide decision-making, design custom analyses using R and Tableau, and communicate results to clients. You will also mentor Associates and manage client relationships, ensuring project success through effective communication and collaboration.

As a Digital Customer Experience Consultant, you will manage multiple projects and client relationships in digital marketing, develop strategies for media buying across channels, oversee campaign implementation, and lead a media team to achieve client success. Your expertise will ensure effective analytics and optimization for long-term business goals, especially within life sciences.

The Applied AI Scientist will develop advanced algorithms for large datasets, execute statistical analyses, evaluate emerging technologies, and contribute to thought leadership in analytics at ZS.

As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale machine learning algorithms, implement ML Ops, write production-ready code, and collaborate with global teams to deliver projects. You'll also research and evaluate new technologies and maintain high-quality deliverables.