Associate, Product Operations (Tableau AND SQL AND Pyspark OR Python)

NPS Prism
AssociateProduct Operations (Tableau Dashboard Development AND SQL AND Python OR Pyspark)

Company Profile:

NPS Prism is a market-leading cloud-based CX benchmarking and operational improvement platform owned by Bain & Company. NPS Prism provides its customers with actionable insights and analysis that guide the creation of game-changing customer experiences. Based on rock-solid sampling research and analyticmethodology it lets customers see how they compare to their competitors on overall NPS and on every step of the customer journey.

Launched in 2019 NPS Prism has rapidly grown to a team of over 200 serving dozens of clients around the world. While NPS Prism is its own company NPS Prism is 100% owned by Bain & Company one of the top management consulting firms in the world and a company consistently recognized as one of the worlds best places to work. We believe that 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.

Position Summary:

NPS Prism has experienced tremendous growth as a standalone software and data business over the pastfewyears and is making the leap from being a consulting-led business to a technology-led business. Given that shift we are looking to build our team with world-class team members to help drive business growth to its full potential in this next phase. This isa great opportunityto help buildthelargest startupowned by Bain & Companyand take NPS Prism into the future.

Key Responsibilities:

• Independently owns the workstreams assigned to the individual and develops client ready visualization dashboardsusing tools like Tableau with minimum guidance

• Works with multiple stakeholders across instruments and workstreams to provideexpertisein data management

• Leverage Databricks and PySpark for large-scale data processing and pipeline development

• Identifyopportunities to apply AI/ML automation to streamline repetitive data workflows and improve analytical efficiency

• Develop reusable automation frameworks that reduce manual effort across surveyprocessing report generation and data validation

• Providesstructured supportto junior team members including helping them understand tools logic flows and standard work practices.

• Builds reusable capabilitiesand templates that improve team efficiency and scalability ensuring that they are well documented andacross service lines

• Analyze the data using tools likeSQLAlteryxandDatabricks.

• Design and execute new benchmarking survey instruments including assessing data needs and designing the primary research surveys and sample specification

• Respond to onshore team/client questions around the data and insights

• Translates complex technical concepts such as screener logics dashboard workflows and research methodologiesinto clear explanations for internal teams and client facing discussions

• Provide ongoing support for subscription customers such asadditionaldata cuts and responding to questions about the data/methodologywith precision and speed

• Support commercialization efforts including conductingdata-drivenanalysis for proposals building custom outputsand conducting product demos with prospective clients

Required Qualifications Experience & Skills

• Education

• Required:Graduate/post graduatefrom top-tier institute or have pursued a 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.

• Experience

• 2 years of experience in areas related to Data Management BusinessIntelligenceor Business Analytics. Hands-on experience in managing end-to-end customer surveys dataanalysisand visualizations

• TechnicalSkills

• 2 years of experience in Tableau AND SQL AND Pyspark OR Python

• Familiarity and hands-on experience with AI/ML techniques for automating tasks such as data quality checksmonitoringor insight generation

• Exposure to building automated data pipelines and integrating Databricks with downstream reporting tools

• Extensivehands-on experience with Tableauwith strong command of dashboard design interactivity and performance optimization

• Proven experience using Alteryx for data prep transformation and validation at scale.

• Proficient in applying statistical and data mining techniques to derive meaningful insights from customer feedback and survey data.

• Proficient inSQLfor data querying manipulationautomationand pipeline development

• Proficient in Python or PySparkfor data manipulation automation or analytics tasks; experience with distributed data processing is a plus

• Experience with Databricks (notebooks Delta Lake workflows) and PySpark for distributed data processing at scale

• OtherSkills:

• Proactive problem-solver witha strong senseof ownership and attention to detail.

• Experience mentoring junior team members and contributing to collaborative team culture

• Excellent interpersonal written and verbal communication skills

• Comfort working in a hybrid or remote environment with distributed teams.

• Demonstrates resilience and adaptability in navigating change and feedback.

• Consistently seeks feedback and iterates to improve performance and team outcomes.