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

NPS Prism; Gurugram District; On-site; INR 800,000 - 1,500,000; Full time

Job summary

NPS Prism in Gurugram is seeking a data-driven professional to develop visualization dashboards and manage data workflows. You'll leverage cutting-edge tools like Tableau and Databricks in a dynamic team environment.

The ideal candidate should have 2+ years of experience in Data Management or Business Intelligence, along with solid skills in SQL, Tableau, and PySpark. Join us to shape customer experiences using advanced data analytics.

Qualifications

• 2+ years of experience in Data Management, Business Intelligence, or Business Analytics.
• Hands-on experience in managing end-to-end customer surveys, data analysis, and visualizations.

Responsibilities

• Develop client-ready visualization dashboards using tools like Tableau.
• Identify opportunities to apply AI/ML automation for data workflows.
• Analyze data using SQL, Alteryx, and Databricks.

Skills

Tableau

SQL

PySpark

AI/ML techniques

Education

Graduate/post-graduate from top-tier institute

Statistical/analytical course from tier 1 university

Tools

Databricks

Alteryx

Python

Job description

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.

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 areas related to Data Management, Business Intelligence or Business Analytics. Hands‑on experience in managing end‑to‑end customer surveys, data analysis and visualizations.

Technical Skills

• 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

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