Jobs at NPS Prism

Analyze customer experience datasets, generate actionable insights, and translate complex findings into compelling client presentations. Support client onboarding, engagement, training, data refreshes, and request management for the NPS Prism platform. Collaborate with Commercial, Product, Bain consulting teams, and clients to drive platform adoption and strategic decision-making. The role requires strong analytical, communication, presentation, and client relationship skills, along with proficiency in Excel and Tableau or similar tools.

Analyze large-scale data, build client-ready dashboards, design data workflows and analytical queries, and apply statistical techniques such as regression, sentiment, fraud, and time-series analysis. The role supports product development, data quality, customer questions, and complex problem-solving while communicating clear insights to product teams and clients.

Own the Brazil Banking research instrument, including questionnaire design, testing, rotation logic, versioning, maintenance, and success metrics. Lead analytics, primary research, and AI-enabled product development while managing strategy and roadmap decisions. Translate customer needs into requirements, prioritize opportunities, and collaborate with engineering, data science, commercial, and operations teams. Ensure product quality, regulatory compliance, and continuous improvement across geographies.

Supports product delivery and development for a customer experience benchmarking platform. Responsibilities include monitoring surveys and data flows, reviewing dashboards, validating analytical models, generating client-facing insights, contributing to feature design, ensuring quality, addressing client questions, improving workflows, and collaborating with Product, Operations, Commercial, and Technology teams.

The Associate, Product Operations develops visualization dashboards using Tableau, manages data workflows, automates processes, and supports client interaction through data insights.

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.