Product Specialist, Nps Prism

CVs must be submitted in English to be considered for this role.
WHAT MAKES US A GREAT PLACE TO WORK
We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. 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. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.
WHO YOU'LL WORK WITH
This is an opportunity to support Bain's expanding new ventures business, helping to build a new start-up at Bain to deliver the NPS Prism product, a market-leading customer experience benchmarking service. (1) 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 offers rock-solid NPS benchmarks all the way to the episode level, the ability to determine the extent to which any given episode contributes to a company's competitive differentiation, the value of improvement, and the ability to link performance to operational episode metrics. It is delivered through an interactive platform that allows subscribers to do their own analysis.
WHERE YOU'LL FIT WITHIN THE TEAM
In this role you will work closely with the Associate Product Managers, Product Managers to build and deliver a commercially successful product that spans core sectors across all regions.
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.
WHAT YOU'LL DO
- 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.
ABOUT YOU
Required
- 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 pres

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