Associate (Advanced Analytics), NPS Prism

General Information

Job Title

Job ID

71923

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 Associate will work closely with the Group managers, NPS Prism Product Manager, Vice President and the Proprietary Data group to build and deliver a commercially successful product that spans core sectors across all regions.

Responsibilities:

Essential Functions:

Conduct statistical analysis and build solutions to support complex data analytics using R/Python
Understand various technologies that are currently deployed on the products and improve, rebuild and maintain them over the course of time
Understand various predictive models that are currently deployed on the products and improve, rebuild and maintain them over the course of time
Knowledge of text analytics and NLP will be an added advantage.
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
Perform a variety of advanced statistical and data mining techniques such as, but not limited to: verbatim analysis using machine learning, multivariate and logistic regressions, time series analysis, etc.
Respond to onshore team/client questions around the data and insights
Candidate will be the point of contact for all the data science projects within team and will be taking lead on stakeholder communication for the same

Qualifications:

Work experience: 3+ years of experience for Associate

In areas related to machine learning, data analytics or predictive modelling. Hands-on experience in predictive modelling, text analytics, data analysis and visualization

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:

Advanced knowledge of different Machine Learning techniques, statistical methodologies and Text analytics or Natural Language Processing (NLP) is preferred
Strong hands-on Experience and knowledge of working in Python/R and MS Excel. This is mandatory
Exceptional analytic and technical skills, including knowledge of market research tools, data science and business intelligence tools
Experience explaining and performing a variety of statistical and data mining techniques
Experience translating data into business insights using appropriate data engineering, analytics and visualization applications
Experience developing audience-right high-quality presentations
Exceptional interpersonal and communication skills
Proven self-starter (comfortable with what could be a remote team) with demonstrated problem solving and organizational skills