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NPS Prism

SaaS CX benchmarking for NPS analytics

Analyst

Data EngineeringConfirmed live in the last 24 hours
Full-timeGurugram, Haryana, IndiaNo salary listedIn-person

About the Job

Requirements

  • Graduation from a top-tier institute or equivalent engineering college or university is required.
  • One to two years of professional experience in Python or PySpark, SQL, and Databricks at a renowned company is required.
  • Around one year or more of basic Tableau experience, including building dashboards and maintaining reports, is required.
  • Experience using Alteryx or similar data preparation and transformation tools is required.
  • Understanding of core statistical and analytical methods is required.
  • Ability to learn new tools and technologies quickly and apply them effectively with minimal ramp-up time is required.
  • Strong analytical, organizational, and problem-solving skills with attention to detail are required.
  • Experience developing clear, audience-appropriate presentations and deliverables is required.
  • Interpersonal and written and verbal communication skills are required.
  • The candidate should be comfortable working with a remote team, eager to learn and open to feedback, adaptable to changing work items, technologies, scopes, requirements, and priorities, and able to remain productive as priorities change.

Responsibilities

  • Design, build, and optimize ETL/ELT workflows using Databricks, SQL, Python, or PySpark.
  • Develop and maintain robust, scalable, and efficient data pipelines for processing large datasets from source to emerging data.
  • Support senior team members in identifying and implementing AI/ML-driven automation for repetitive data tasks such as data validation, response coding, and anomaly detection.
  • Assist in building scheduled data pipelines using Databricks workflows for automated data refresh and processing.
  • Develop and maintain client-ready visualization dashboards in Tableau, with support from senior team members.
  • Support data preparation and analysis using tools such as Alteryx or SQL.
  • Assist in executing benchmarking surveys, including developing sample specifications and managing research data.
  • Provide ongoing support for subscription customers, including generating custom data cuts, answering methodology questions, and preparing insights for delivery.
  • Collaborate with team members to ensure high-quality, timely outputs across product operations workstreams.
  • Translate technical concepts and data into clear, structured insights for internal and external stakeholders, with support from senior team members.
  • Contribute to reusable templates, process documentation, and standard work practices that improve efficiency and scalability.
  • Use curiosity and hypothesis-driven thinking to uncover patterns and build analytical models to help solve problems.
  • Manage multiple work items in parallel and switch between tasks, tools, and technologies as project priorities evolve while maintaining quality and turnaround time.

Desired Qualifications

  • A degree in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics, or Market Research is preferred.
  • Hands-on exposure to survey design, data processing, and visualization is preferred.
  • Professional experience in Alteryx is preferred.
  • Basic knowledge of DevOps practices and continuous integration and continuous delivery (CI/CD) pipelines is preferred.
  • Basic familiarity with AI/ML concepts and their practical application in automating data workflows, such as data quality checks, monitoring, or insight generation, is preferred.
  • Exposure to Databricks workflows or similar orchestration tools for scheduling and automating data pipelines, and integrating Databricks with downstream reporting tools such as Tableau, is preferred.

About the Company

NPS Prism

SaaS CX benchmarking for NPS analytics

NPS Prism is a subscription-based SaaS platform that provides external CX benchmarks using Net Promoter Score data. It aggregates NPS data from over 500 companies across 30+ countries and 10 industries, refreshed quarterly, so clients can compare their scores to direct competitors on specific journeys, products, and channels. The platform includes an analytics dashboard, historical data, and quarterly insight discussions to help explain the 'why' behind scores and prioritize improvements. It differentiates itself by applying Bain’s NPS methodology, offering journey- and industry-level benchmarking, and pairing external benchmarks with strategic advisory, with governance and expansion across markets including Asia.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
2019

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