NPS Prism Benchmark Specialist

1 semana atrás


São Paulo, São Paulo, Brasil beBeeBenchmark Tempo inteiro R$140.000 - R$190.000
Customer Experience Specialist, NPS Prism

We are consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility.

Diversity, inclusion and collaboration are 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 professionally and personally.

Our company is publicly recognized by external parties for being a great place to work for diversity and inclusion, women, LGBTQ and parents.

About the Opportunity

This role supports our expanding proprietary data ventures business, helping to build a new product at Bain to deliver the NPS Prism customer experience benchmarking service.

NPS Prism creates benchmarks by surveying customers in a given sector, asking them to identify providers, declare their likelihood to recommend, describe why and answer additional questions designed to reveal experiences.

The Customer Experience Specialist will work closely with Product Managers, General Managers, Bain Partners and the Proprietary Data Ventures group to build and deliver a commercially successful product that spans core sectors across all regions.

About the Role
  1. Support Product Manager in product development and delivery of new and existing NPS Prism instruments to subscription customers.
  2. Design and execute new benchmarking survey instruments, assessing data needs and designing primary research surveys and sample specifications.
  3. Collaborate with our research vendor Qualtrics to program and test NPS Prism surveys and manage survey quotas.
  4. Analyze the data and create client-ready visualization dashboards with support from Qualtrics and the NPS Prism BCC Center of Excellence team based in India.
  5. Perform advanced statistical and data mining techniques such as verbatim analysis using machine learning, multivariate and logistic regressions, time series analysis, etc.
  6. Participate in client meetings and be responsive to client questions around the data and insights.
  7. Provide ongoing customer support for subscription customers, including additional data cuts and responding to questions about the data/methodology.
  8. Support commercialization efforts, including conducting analysis for proposals and conducting product demos with prospective clients.
  9. Help improve/refine the delivery model, collaborating with vendors, database maintenance and support teams.
  10. Support broader product roadmap priorities, including:

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