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NPS Prism seeks an Associate, Product Operations to develop Tableau dashboards and manage data workflows using SQL and PySpark. You will work with multiple stakeholders to build scalable analytics, leveraging Databricks and Alteryx for data processing.
The role also focuses on applying AI/ML automation to streamline repetitive tasks and improve insights. You will mentor junior team members, create reusable automation templates, and support client-ready outputs with rigorous data validation.
NPS Prism Associate, Product Operations (Tableau Dashboard Development AND SQL AND Python OR Pyspark)
NPS Prism has experienced tremendous growth as a standalone software and data business over the past few years 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 is a great opportunity to help build the largest startup owned by Bain & Company and take NPS Prism into the future.
Independently owns the workstreams assigned to the individual and develops client ready visualization dashboards using tools like Tableau with minimum guidance
Works with multiple stakeholders, across instruments and workstreams to provide expertise in data management
Leverage Databricks and PySpark for large-scale data processing and pipeline development
Identify opportunities to apply AI/ML automation to streamline repetitive data workflows and improve analytical efficiency
Develop reusable automation frameworks that reduce manual effort across survey processing, report generation, and data validation
Provides structured support to junior team members, including helping them understand tools, logic flows, and standard work practices.
Builds reusable capabilities and templates that improve team efficiency and scalability, ensuring that they are well documented and across service lines
Analyze the data using tools like SQL, Alteryx, and Databricks.
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 methodologies into clear explanations for internal teams and client facing discussions
Provide ongoing support for subscription customers, such as additional data cuts and responding to questions about the data/methodology with precision and speed
Support commercialization efforts, including conducting data-driven analysis for proposals, building custom outputs, and conducting product demos with prospective clients
Required: Graduate/post graduate from 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.
2+ years of experience in areas related to Data Management, Business Intelligence or Business Analytics. Hands‑on experience in managing end‑to‑end customer surveys, data analysis and visualizations
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 checks, monitoring or insight generation
Exposure to building automated data pipelines and integrating Databricks with downstream reporting tools
Extensive hands‑on experience with Tableau, with 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 in SQL for data querying, manipulation, automation and pipeline development
Proficient in Python or PySpark for 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
Proactive problem‑solver with a strong sense of 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.