N
NPS Prism Tech Stack
NPS benchmarking and CX analytics platform backed by Bain & Company
NPS Prism operates a customer experience benchmarking platform built on Bain's proprietary NPS methodology, covering 15+ countries and 10+ industries. The tech stack (Databricks, Azure Data Factory, PySpark, Tableau) signals a data-intensive, analytics-first architecture. Current hiring skews heavily toward data (5 open roles) and sales (5 roles) relative to engineering (1 role), while the project list reveals an active shift from consulting delivery toward product automation—multi-agent systems, GenAI analytics, and adoption tooling rank high—indicating an organizational pivot away from pure services toward scalable software.
Tech Stack 17 technologies
Core StackTableau Python PySpark Databricks AWS Azure Data Factory AWS Glue Apache Spark SQL Server Prism Excel PowerPoint Alteryx SQL Azure Git Azure SQL
What NPS Prism Is Building
◆Challenges
- Transitioning from consulting-led to technology-led
- Client adoption
- Client training needs
- Increasing client penetration
- Expanding into new markets
- Scaling software and data business
- Adoption of nps prism
- Client request backlog
- High availability and disaster recovery
- Database performance optimization
▲Active Projects
- New analytics and research products
- Client adoption of prism
- Ai solutions across ml and genai use cases
- Multi-agent systems for analytics automation
- Cx insights development
- Client training and adoption
- Bespoke data cuts
- Develop go-to-market commercial approach
- Manage client pipeline to increase penetration
- Create content for demos and trainings
Hiring Activity
20 roles · 10 in 30d
Department
Seniority
Company intelligence
