General Information

Job Title
Analyst (Advanced Analytics), NPS Prism
Job ID
Employment Type
Permanent Full-Time
New Delhi

Description & Requirements

Company Profile:

Bain & Company is the management consulting firm that the world’s business leaders come to when they want results. Bain advises clients on strategy, operations, information technology, organization, private equity, digital transformation and strategy, and mergers and acquisition, developing practical insights that clients act on and transferring skills that make change stick. The firm aligns its incentives with clients by linking its fees to their results. Bain clients have outperformed the stock market 4 to 1. Founded in 1973, Bain has 61 offices in 38
countries, and its deep expertise and client roster cross every industry and economic sector.
NPS Prism is a cloud-based customer experience benchmarking service that provides actionable insights and analysis that guide your creation of game-changing customer experiences. Based on rock-solid sampling, research, and analytic methodology, it lets you see how you compare to your 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. Use NPS benchmarks to propel your growth and outpace the competition.

Position Summary:

This is an opportunity to support Bain’s expanding proprietary data business, helping to build a new start-up at
Bain to deliver the NPS Prism product, a market-leading customer experience benchmarking service. NPS Prism
creates NPS and episode benchmarks by surveying very large numbers of customers in a given sector.
Customers are asked to identify the companies with which they do business, declare their likelihood to recommend
each provider, describe why, and answer a battery of additional questions designed to reveal experiences with
specific episodes, as well as share of wallet, channel preference, and other important data.
NPS Prism Analyst will work closely with the Prism Project lead and Prism Product Manager to build and deliver
a commercially successful product that spans core sectors across all regions.


Essential Functions:

  • Understand various technologies that are currently deployed on the products and improve, rebuild and maintain them over the course of time
  • Strong hands-on experience into reporting, dashboarding, data, automation scripting and basic
  • database querying across domains
    • Analyze existing Python Scripts for performance improvements
    • Analyze existing SQL queries for performance improvements
    • Assist implementation of DevOps methodologies through various automation techniques and ETL/VBA scripting
  • Candidate is expected to setup/build statistical and machine learning models to solve complex business problems with limited support
    • Should be familiar with regression(linear/non-linear) and classification techniques
    • Comprehensive knowledge of statistics to understand and explain model outputs to leadership
  • Keep abreast of new and latest statistical techniques, databases and market research techniques and provide input to improve NPS Prism


  • Work experience: 1-2 years of relevant experience for Analyst
    • In areas related to data analytics, basic database querying, VBA automation and ETL scripting.
  • Education Required: Incumbent should be an engineer from top-tier institute or statistical/analytical
  • course from a tier 1 university
    • Preferred: Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics, or Market Research is strongly preferred
  • Knowledge, Skills and Abilities Required:
    • Hands-on Experience and knowledge of working in Python libraries like Pandas, Numpy etc.
    • Hands-on Experience and knowledge of working in MS Excel, Database querying (any SQL/NoSQL) and VBA
    • Exceptional analytical and technical skills, including knowledge of market research tools, reporting and business intelligence tools
    • Experience translating data into business insights using appropriate data engineering, analytics and visualization applications
    •  Proven self-starter (comfortable with what could be a remote team) with demonstrated problem solving and organizational skills