Analyst, Product Operations, Banking

NPS Prism; Gurugram District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

NPS Prism is seeking an Analyst, Product Operations to design and manage data pipelines and dashboards in a rapidly growing banking analytics context. You will work closely with product teams to transform data into actionable insights, using Tableau, Databricks, Python or PySpark and SQL.

The role emphasizes building robust data processes, supporting AI/ML driven automation, and delivering client-ready insights and benchmarks for subscription customers.

Qualifications

• 1–3 years of Python or PySpark and SQL with Databricks experience.
• At least 1 year of Tableau experience and dashboard building.
• Exposure to survey design, data processing, and visualization is a plus.
• Experience with Alteryx or similar data prep tools is desirable.

Responsibilities

• Develop and optimize ETL/ELT pipelines using Databricks, SQL, Python or PySpark.
• Build and maintain client-ready Tableau dashboards and reports.
• Support automation of repetitive data tasks and data quality checks.
• Create scheduled data pipelines and automate data refresh workflows.
• Assist in benchmarking surveys and managing research data.
• Provide data insights to stakeholders and contribute to scalable templates.

Skills

Python

Pyspark

SQL

Databricks

Tableau

Education

Bachelor's degree in Statistics, Mathematics, Engineering, CS

Tools

Databricks

Tableau

Alteryx

Job description

NPS Prism

Title: Analyst, Product Operations, Banking (Tableau, Databricks, Python or Pyspark and SQL)

Reports to: Team Manager (in NPS Prism India Hub)

Company Profile:

NPS Prism is a market-leading, cloud-based SaaS business 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.

With NPS Prism you can see where you’re strong, where you lag, and how customers feel about doing business with you and your competitors, in their own words. The result: Prioritize the customer interactions that matter most. NPS Prism customers use our customer experience benchmarks and insights to propel their growth and outpace the competition.

Launched in 2019, NPS Prism has rapidly grown to a team of over 200, serving dozens of clients around the world. 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 is 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 both 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.

Analysts on the Prism India Hub team will work closely with a Prism India Hub Team Manager, an NPS Prism Product Manager, and other NPS Prism stakeholders’ group to build and deliver a commercially successful product that spans core sectors across all regions.

Key responsibilities:

• Develop Data Pipeline by Designing, building, and optimizing ETL/ELT workflows using tools like Databricks, SQL, Python or pyspark

• Develop and maintain robust, scalable, and efficient data pipelines for processing large datasets from source to emerging data.

• Support senior team members in identifying and implementing AI/ML-driven automation for repetitive data tasks such as data validation, response coding, and anomaly detection

• Assist in building scheduled data pipelines using Databricks workflows for automated data refresh and processing

• Develop and maintain client-ready visualization dashboards in Tableau specifically, with some support from senior team members

• Support data preparation and analysis using tools such as Alteryx or SQL

• Assist in the execution of benchmarking surveys, including developing sample specifications, and managing research data

• Provide ongoing support for subscription customers, including generating custom data cuts, answering methodology questions, and preparing insights for delivery

• Collaborate with team members to ensure high-quality, timely outputs across product operations workstreams

• Translate technical concepts and data into clear and structured insights for internal and external stakeholders with support from senior team members

• Contribute to developing reusable templates, process documentation, and standard work practices that improve efficiency and scalability

• Demonstrate curiosity and hypothesis-driven thinking to uncover patterns, and build robust analytical models which can help solve problems at hand

Required Qualifications, Experience & Skills

Education

• Must Have: Graduate from a top-tier institute or equivalent engineering colleges / universities.
• Good To Have: Degree in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Analytics, or Market Research

Experience

• Must Have: 1 to 3years of professional experience in Python or Pyspark and SQL and Databricks at renowned companies. The ideal candidate will have strong expertise in Python or Pyspark and SQL with proven experience working on Databricks.

• Must Have: 1+ year of experience inTableau, with building dashboards and maintain reports

• Good To Have: Hands-on exposure to survey design, data processing, and visualization is preferred.

• Good To Have: Professional experience in Alteryx

Technical Skills

• 1 to 3years of professional experience in Python or Pyspark, SQL and Databricks at renowned companies. The ideal candidate will have strong expertise in Python or Pyspark and SQL with proven experience working on Databricks.

• 1+ year of experience inTableau,with building dashboards and maintain reports

• Proven experience using Alteryx or similar data prep/transformation tools

• Understanding of core statistical and analytical methods

• A solid understanding of ETL tools like Python as well as basic knowledge of DevOps practices and CI/CD pipelines, will be Good to Have.

• Good to have - Basic familiarity with AI/ML concepts and their practical application in automating data workflows (e.g., data quality checks, monitoring or insight generation)

• Good to have- Exposure to Databricks workflows or similar orchestration tools for scheduling and automating data pipelines, and integrating Databricks with downstream reporting tools like Tableau

Other Skills

• Strong analytical, organizational and problem-solving skills with attention to detail

• Experience in developing clear, audience-appropriate presentations and deliverables

• Excellent interpersonal and communication skills, both written and verbal

• Collaborative team player who thrives in a fast-paced, evolving environment

• Proven self-starter (comfortable with what could be a remote team) withdemonstrated problem solving and organizational skills

• Eager to learn and open to feedback, with a growth-oriented mindset