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The Decision Analytics Associate will develop and apply advanced statistical models, leverage analytic techniques for data-driven decision-making, and design custom analyses using tools like R and Tableau. They will synthesize results and maintain client relationships while mentoring team Associates, contributing to projects with effective communication and problem-solving skills.
As a Decision Analytics Consultant, you will leverage quantitative skills to analyze client business needs, execute data analysis, and communicate results effectively. You will work closely with clients to address their specific information needs, manage analytics projects, and develop expertise in their analytics areas.
Lead end-to-end projects utilizing cloud technologies for complex business challenges. Provide technology expertise for client satisfaction, ensuring projects are delivered on time and within budget. Mentor team members and collaborate globally to innovate and minimize risks, while developing business cases in partnership with clients.
As a Human Resources Associate focusing on Talent Acquisition, you will be responsible for sourcing, pre-screening, and attracting candidates, managing requisitions, scheduling interviews, and maintaining recruiting databases. You will work collaboratively with hiring managers and provide feedback for process improvements throughout the recruiting lifecycle.
As a Platform Support Engineer at ZS, you will assist clients with SaaS application functionality and configuration, develop documentation to streamline troubleshooting, and resolve software related issues while collaborating with various internal teams.
As a Business Technology Solutions Associate, you will design scalable solutions by leveraging information from the requirements-gathering phase. You'll apply development methodologies, collaborate with teams for seamless transitions, lead project outputs, and build dashboards using advanced data visualization tools like Tableau. Additionally, you'll support multi-environment Tableau infrastructure and provide guidance on best practices.
The HR Associate - Reporting & Analytics at ZS partners with stakeholders to develop KPI/CPI metrics, transform raw data into actionable insights, and create dashboards using Power BI. Responsibilities include maintaining data confidentiality, troubleshooting issues, and implementing data transformation logics for HR data extraction and reporting.
TAC Associates provide first-level technical support for ZS employees and clients. They troubleshoot IT issues related to Windows/MAC machines and proprietary software, assist users with common queries such as VPN and Outlook, and manage administrative tasks concerning support tickets.
As an Advanced Data Science Associate at ZS, you will develop advanced algorithms, utilize statistical and machine learning techniques, and collaborate with clients to provide valuable analytical insights. You will also assess emerging datasets and technologies to enhance the analytical platform.
The Senior Human Resources Associate for Diversity, Equity, and Inclusion (DE&I) will manage communication channels, assess data for decision-making, develop strategies for DE&I communication, and ensure effective collaboration across teams. This role emphasizes connecting people and fostering a sense of belonging within the workplace through data-driven insights and impactful strategies.
The Software Engineer will design and build advanced iOS applications, collaborate with cross-functional teams to implement new features, conduct unit testing, and improve application performance. The role requires strong programming skills and the ability to work with various mobile technologies.
The Senior Human Resources Associate - Compensation will analyze compensation data, support salary benchmarking, and assist in maintaining compensation and HCM systems. Responsibilities include report generation, developing procedures for efficiency, and participating in compensation studies. The role demands collaboration and a focus on accuracy in data management.
The Senior Finance Associate will manage project financial governance, handle revenue recognition and forecasting, and ensure accuracy in project financial transactions. They will collaborate with cross-functional teams, provide project commentary, and enhance awareness of financial management practices across the firm.
The Senior LLM Engineer will develop GenAI applications, create RAG-based pipelines, optimize prompts for LLMs, and ensure scalability of applications. The role requires expertise in various LLMs and engineering components relevant to GenAI.
In this role, you will develop, test, and troubleshoot containerized applications on Kubernetes, manage cloud infrastructure using AWS and Azure, enhance CI/CD pipelines, and implement monitoring solutions. Security best practices will also be a focus, along with automating infrastructure using Terraform.
The role involves deploying machine learning models at scale, collaborating with data scientists to build innovative AI solutions and GenAI applications, designing ML pipelines and platforms, managing the ML lifecycle, and mentoring team members.
As a Business Technology Solutions Consultant at ZS, you will design and implement enterprise data management strategies, develop data management frameworks, create scalable cloud-based solutions, build complex ETL data pipelines, and lead projects while collaborating with various stakeholders.
The Associate ITAM will support global users with software needs, managing software asset management activities, maintaining software licenses, and monitoring application usage compliance. Responsibilities include updating inventories, triaging requests, and documenting processes.
The Enterprise Application Lead at ZS will manage technology solutions supporting HR strategy, cultivate relationships with partners, optimize HR systems, implement process improvements, and function as an internal consultant for various activities related to HR processes.
As a Decision Analytics Associate Consultant, you will develop and apply statistical models, leverage data analytics, design custom analyses, and communicate results to clients. The role involves mentoring team members and building client relationships within the Pharma industry, utilizing real-world data to inform decision-making and deliver insights.