Jobs at NPS Prism

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

Lead end-to-end recruiting for Brazil while managing core HR operations across the employee lifecycle (onboarding, payroll, benefits, performance, offboarding). Partner with hiring managers, source and screen candidates, coordinate interviews and offers, maintain HR records and compliance (CLT), and support employee engagement and DE&I hiring goals.

Execute product delivery tasks including survey monitoring, data flow oversight, dashboard reviews, and model validation. Produce analyses and insights, support product feature development, ensure zero-defect delivery, respond to client data/methodology questions, drive process improvements and automation, and collaborate cross-functionally with Operations, Commercial, and Tech teams.

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 Analytics Specialist will analyze complex data, automate reporting processes, develop models using AI and analytical tools, and create client-ready insights and dashboards.

Lead end-to-end product development for analytics- and research-based (AI-enabled) customer insights products. Define strategy, roadmap, requirements, and success metrics; prioritize opportunities using customer insight and data; collaborate with engineering, data science, commercial, and operations to launch and iterate products.

Own product operations workstreams: build client-ready Tableau dashboards, manage and analyze survey data using SQL/Alteryx/Databricks, design benchmarking surveys, support subscription customers, mentor juniors, and assist commercialization with data-driven proposals and demos.

Manage a portfolio of strategic clients using NPS Prism to deliver CX insights, advise senior stakeholders, drive account growth, support Bain case teams, create thought leadership, and use AI and automation to accelerate insight delivery. Own day-to-day client management, project plans, contracting, demos, and cross-team coordination to ensure clients realize Prism's value and drive CX improvements.

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.

The role involves conducting quality checks on verbatim responses, validating data visualizations, and recreating charts in PowerPoint and Tableau.

The Product Manager will drive the definition and delivery of analytics and research-based products, focusing on customer needs and collaboration across teams.

Manage and optimize SQL Server and Azure SQL databases including performance tuning, security, backups, HA/DR, automation, troubleshooting, documentation, and strategic planning to ensure data integrity, scalability, and reliability.

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

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.

Collaborate with Product Specialists and Managers to build and maintain automated data pipelines, databases, and visualization dashboards. Analyze large datasets to generate insights, support product launches, survey programming, and stakeholder requests. Ensure quality control, develop analytical queries and workflows, and communicate findings to cross-functional teams to support customer adoption and product improvements.

Manage workstreams to develop visual dashboards, process data with Databricks, and automate workflows. Mentor junior members and enhance team efficiency.

The Analyst, Product Operations will develop data pipelines, work with ETL/ELT workflows, support automation, and prepare data visualizations, collaborating closely with senior team members to ensure quality outputs.

The Senior Data Scientist at NPS Prism will develop and deploy AI solutions, build predictive models, and analyze data to inform business decisions, ensuring production readiness and collaborating with cross-functional teams.

Deliver client-facing customer insights by analyzing large datasets, building presentations, supporting onboarding and adoption, managing client requests, and training clients to integrate NPS Prism into decision-making.