Jobs at NPS Prism

Analyze customer experience datasets, generate actionable insights, and translate complex findings into client-ready presentations and stories. Support client onboarding, engagement, training, data refreshes, and request management while partnering with commercial, product, consulting, and client teams. Serve as a subject matter expert on NPS Prism metrics, benchmarks, and customer experience dynamics.

Build client-ready dashboards, conduct large-scale data analysis, design data workflows and analytical queries, and apply statistical techniques such as regression, sentiment, fraud, and time-series analysis. Communicate insights clearly, maintain data quality, resolve complex client issues, and support subscription customers with data questions and requests. Collaborate with Product Specialists, Product Managers, data engineers, and technical leads in an Agile environment.

Supports product delivery, survey and data-flow monitoring, dashboard reviews, analytical model validation, and client-facing insights. Collaborates with product, operations, commercial, and technology teams to improve platform features, ensure accurate zero-defect delivery, resolve client questions, and streamline recurring workflows through process improvement and automation.

Build and optimize Databricks data pipelines using Python or PySpark and SQL, create Tableau dashboards, prepare and analyze survey data, and support customer-specific data cuts and insights. The role assists with AI/ML-driven data automation, scheduled workflow development, benchmarking surveys, documentation, and process improvement while collaborating with product and operations stakeholders.

Leads a multidisciplinary engineering team spanning data engineering, data science, and software engineering. Responsibilities include people management, hiring, Agile delivery, sprint and backlog planning, stakeholder coordination, technical oversight, platform reliability, scalability, governance, security, compliance, and operational resilience. The manager partners with product, analytics, infrastructure, and business teams to deliver reliable, scalable platforms and product capabilities.

Own end-to-end technical recruiting for NPS Prism India Hub, partnering with hiring managers to source, screen, interview, and close candidates for data, engineering, and operations roles. Build talent pipelines, implement sourcing strategies, manage offers and onboarding momentum, provide market intelligence and DE&I hiring practices, and report on hiring metrics to improve time-to-fill and quality of hire.

The Staff Data Engineer will design and optimize data architectures and pipelines, mentor staff, and collaborate on data strategy while ensuring quality and governance.

The Data Scientist II position involves developing and deploying AI solutions, building predictive models, and managing data science projects. Responsibilities include collaboration with cross-functional teams, applying statistical analysis, and ensuring model governance. Candidates should have experience in classical ML and modern AI systems with end-to-end project management skills.

The Data Engineer will develop and optimize data pipelines, work with cloud platforms, manage data solutions, and collaborate with teams to fulfill business data requirements.