Associate, Product Operations
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.
Key Responsibilities
- Independently owns the workstreams assigned to the individual and develops client-ready visualization dashboards using tools like Tableau with minimal guidance.
- Works with multiple stakeholders across instruments and workstreams to provide expertise in data management.
- 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 they are well documented across service lines.
- Analyzes the data using tools like SQL, Alteryx, and Databricks.
- Designs and executes new benchmarking survey instruments, including assessing data needs and designing the primary research surveys and sample specifications.
- Responds 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.
- Provides ongoing support for subscription customers, such as additional data cuts and responding to questions about the data/methodology with precision and speed.
- Supports commercialization efforts, including conducting data-driven analysis for proposals, building custom outputs, and conducting product demos with prospective clients.
Required Qualifications, Experience & Skills
Education
Required: Graduate/post graduate from a top‑tier institute or 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, Business Intelligence or Business Analytics, with hands‑on experience in managing end-to-end customer surveys, data analysis, and visualizations.
Technical Skills
- Extensive hands‑on experience with Tableau, 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.
- Comfort with SQL and Python (preferred), especially for data manipulation, automation, or analytics tasks.
Other Skills
- Proactive problem‑solver with a strong sense of ownership and attention to detail.
- Experience mentoring junior team members and contributing to a 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.