NPS Prism is a market-leading, cloud-based CX benchmarking and operational improvement platform owned by Bain & Company. NPS Prism provides its customers with actionable insights and analysis that guide the creation of game-changing customer experiences. Based on rock-solid sampling, research, and analytic methodology, it lets customers see how they compare to their competitors on overall NPS®, and on every step of the customer journey.

With NPS Prism you can see where you’re strong, where you lag, and how customers feel about doing business with you and your competitors, in their own words. The result: Prioritize the customer interactions that matter most. NPS Prism customers use our customer experience benchmarks and insights to propel their growth and outpace the competition.

Launched in 2019, NPS Prism has rapidly grown to a team of over 200, serving dozens of clients around the world. NPS Prism is 100% owned by Bain & Company, one of the top management consulting firms in the world and a company consistently recognized as one of the world’s best places to work. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. 


In this role you will work closely with the Associate Product Managers and Product Managers to build and deliver a commercially successful product that spans core sectors across all regions.

The primary tasks of this role revolve around core product development working as part of a cross-functional Agile development team to design and develop NPS Prism’s interactive platform from end-to-end. This includes building and maintaining automated data pipelines, product databases, data analysis applications, survey programming and data visualization dashboards.

Another part of the role will revolve around the continuous improvement of the NPS Prism data processes, partnering with NPS Prism’s Technical Product Managers and Tech Leads in the development of new functionalities and systems that make the product more robust and efficient.


Support customer success and adoption efforts for the region

  • Support Product team in the development and delivery of new and existing NPS Prism instruments to subscription customers
    • Analyze the data and create client-ready visualization dashboards with coaching from the NPS Prism Data Visualization and Data Engineering leads
    • Design and develop new data workflows and analytical apps to support the launch of new product instances and features
    • Perform a variety of advanced statistical and data mining techniques such as, but not limited to sentiment analysis, multivariate and logistic regressions, time series analysis, etc.
  • Supports team leads in problem solving, hypothesis generation, research and insight generation and quality control
  • Communicates data, knowledge & clearly explain insights & implications for other team members and product leads
  • Ensures zero-defect across own work streams as well as those being co-managed
  • Understands client needs/context and demonstrates ability to resolve complex issues on critical work streams, working closely with the Product Manager and Associate Product Manager
  • Ensures timely, high quality delivery of output to clients through effective execution, quality control and work planning
  • Provide ongoing customer support for subscription customers, such as additional data cuts and responding to questions about the data/methodology.



  • Bachelor of Science degree in Computer Science, Applied Mathematics, Engineering, or any other technology-related field preferred, or strong relevant work experience
  • Minimum of 2+ years of relevant work experience with data visualization, data-engineering, database management or data science focus in a fast-paced, complex business setting
  • Experience in building data visualization dashboards using Tableau or other data visualization engines, including the definition and implementation of calculation methodologies in attention to basic statistics and business concepts
  • Experience creating custom user defined functions, procedures, views, materialized views, and optimized SQL
  • Ability to troubleshoot slow performing queries, examining indexes, and running explain plans
  • Experience designing, implementing, and supporting end-to-end automated data pipelines using enterprise tooling, cloud-native services, or custom coding/development
  • Experience with traditional relational database management systems (e.g., PostgreSQL, SQL Server, MySQL, Oracle) and SQL skills (DML & DDL)
  • Strong communication and presentation skills, including documenting complex data flows and processes for long-term support and maintenance
  • Must be result-driven, be an analytical and creative thinker, be self-motivated and proactive, be highly organized and demonstrated ability to stay calm and composed in a fast moving environment
  • Entrepreneurial spirit, innovative mind-set, willing to try new things, think outside the box, test and learn attitude


  • 5+ years of relevant work experience with data visualization, data-engineering, database management or data science focus in a fast-paced, complex business setting
  • Strong experience with development of Tableau Dashboards to be used in production and with strong quality control processes
  • Strong experience in the development of data preparation and analytical tools (Python/Alteryx/SQL)
  • Strong experience working with the end-to-end integration of data preparation, database management and visualization tools (e.g. Alteryx, PostgreSQL, AWS and Tableau preferred)
  • Strong experience with PostgreSQL database management systems
  • Python or R coding and development experience
  • Experience with enterprise BI platforms (e.g., Tableau, Power BI, Qlik, Domo, Looker)
  • Experience with enterprise cloud-based data ingestion and transformation technologies (e.g., Talend, SnapLogic, Informatica, Alteryx Server)
  • Experience with cloud-native data services
  • Experience with enterprise BI platforms (e.g., Tableau, Power BI, Qlik, Domo, Looker)