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. What You'll Do - Develop and apply advanced statistical models that help clients understand dynamic business issues. - Leverage analytic techniques to use data to guide client and ZS team decision-making. - Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs. - 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. - Provide client and ZS teams project status updates. - Create project deliverables and implement solutions. - Advance problem-solving skills and improve ZS's capabilities. - Guide and mentor Associates on teams. What You'll Bring - 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. - Up to 3 years of relevant post-collegiate job experience. - Fluency in English . - Knowledge of programming ( e.g., Java/Python/R) . - Exposure to tools/platforms ( e.g., Hadoop eco system and database systems) . - Demonstrated proficiency in a programming language or analytic tool such as R, SAS, Tableau, or VBA. - High motivation, good work ethic, maturity, and personal initiative. - Effective oral and written communication skills. - Empathy, adaptability, and emotional intelligence. - Strong attention to detail, with a quality-focused mindset. - Self-discipline for planning and organizing tasks. - Aptitude for, and enjoyment of, working in teams. - Client-first mentality - Intense work ethic - Collaborative spirit and problem-solving approach How you'll grow: - 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 Perks & Benefits: At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in Japan , visit ZS Japan office locations | Where we work | ZS . Hybrid working model: We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive. If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To complete your application: Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

Role Description Estamos a recrutar um(a) Analytics Engineer para integrar um contexto orientado a dados, com foco na construção de modelos analíticos robustos, escaláveis e orientados ao negócio. A função posiciona-se na interseção entre Data Engineering e Analytics, sendo crítica para transformar dados brutos em ativos estruturados, reutilizáveis e preparados para reporting, self-service analytics e iniciativas de Inteligência Artificial. O(a) profissional será responsável pelo desenho e manutenção da camada analítica, garantindo qualidade, consistência e performance dos dados, bem como alinhamento com as necessidades de negócio e evolução da arquitetura de dados. Responsibilities - Desenhar, construir e manter modelos de dados estruturados para suporte a analytics e reporting - Desenvolver queries SQL eficientes e escaláveis, transformando dados brutos em datasets prontos para consumo - Contribuir para a integração de IA nos workflows analíticos, estruturando dados e metadados para suporte a LLMs - Assegurar qualidade de dados, incluindo testes, validação e documentação da camada analítica - Trabalhar em proximidade com stakeholders para compreender necessidades e garantir que os modelos respondem às questões de negócio - Contribuir para a evolução da arquitetura de dados e práticas de analytics Qualifications - Forte domínio de SQL, com abordagem orientada a resolução de problemas através de dados - Experiência em modelação de dados para analytics - Capacidade de ligação entre construção técnica e impacto no negócio - Boa capacidade de comunicação e colaboração com diferentes equipas - Inglês fluente Technical Skills - Experiência com frameworks de transformação de dados, como dbt, SQLMesh ou similares - Experiência com data warehouses cloud, como Snowflake, BigQuery ou Redshift - Conhecimento de arquitetura de dados e funcionamento das diferentes camadas do data stack - Familiaridade com conceitos avançados como semantic layers, metrics layers e self-service analytics - Experiência ou exposição a modelação de dados para contextos de AI, ML ou LLMs Profile - Mentalidade orientada a dados e resolução de problemas - Capacidade de equilibrar performance, simplicidade e flexibilidade na modelação - Interesse genuíno em como os dados suportam decisões de negócio - Perfil colaborativo, com partilha de conhecimento e abertura à aprendizagem

• Own end-to-end analytics solutions from definition to data architecture and data visualization. • Streamline single source of truth insights for business in an analytics as code environment. • Drive impact to business stakeholders and balance between technical ownership and business partnership.

• Take ownership of our BI ecosystem and drive high-impact improvements in data reliability, performance, and business insights. • This role sits at the intersection of data engineering, analytics, and business strategy, working closely with Marketing and cross-functional teams to ensure data is not only accurate — but actionable. • Play a key role in transforming how the company uses data to make decisions. • Own and improve the reliability and performance of dashboards and reporting systems • Design and optimize data models and SQL transformations in the data warehouse • Build and maintain scalable BI solutions using Tableau and cloud data platforms • Implement data quality checks, monitoring, and anomaly detection systems • Partner with stakeholders to translate business needs into robust data products • Improve query performance and reduce reporting inefficiencies • Define and standardize KPI frameworks, especially for Marketing metrics • Ensure documentation, ownership, and governance across all BI assets