Associate, Product Operations, NPS Prism
Title: Associate, Product Operations, (Python OR Pyspark AND SQL AND Databricks)
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 analytic methodology, 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 world’s 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 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 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 Qualifications, Experience & Skills
- Education
- 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.
- Experience
- 2+ years of experience in pyspark or python AND sql AND databricks
- Technical Skills
- Experience with Databricks (notebooks, Delta Lake, workflows) and PySpark for distributed data processing at scale
- 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 like Tableau
- Good To have - 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.
- 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 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.
