Analyst, Product Operations (Databricks, Pyspark or Python and SQL)

NPS Prism; Gurugram District; On-site; INR 700,000 - 1,100,000; Full time

Job summary

NPS Prism is looking for an Analyst, Product Operations to join its India Hub. You will help build world-class data products and collaborate with the Prism India Hub Team Manager and Product Manager to deliver commercially successful products across core sectors and regions.

The role focuses on ETL/ELT workflows, data pipelines, AI/ML-driven automation, and client-ready Tableau dashboards, with engagement across multiple stakeholders to ensure timely, high-quality outputs.

Qualifications

• 1–2 years of professional experience in Python or pyspark, SQL and Databricks.
• Graduate from a top-tier institute or equivalent engineering college/university.
• Basic experience with Tableau and building dashboards.

Responsibilities

• Develop and optimise ETL/ELT workflows using Databricks, SQL, Python or pyspark.
• Build and maintain scalable data pipelines for processing large datasets from source to emerging data.
• Support senior team members in implementing AI/ML‑driven automation for repetitive data tasks such as validation, coding and anomaly detection.
• Assist in building scheduled data pipelines using Databricks workflows for automated data refresh and processing.
• Develop & maintain client-ready visualization dashboards in Tableau.
• Support data preparation and analysis using Alteryx or SQL.
• Assist in the execution of benchmarking surveys, including sample specification and research data management.
• Provide ongoing support for subscription customers: custom data cuts, methodology queries and insights delivery.
• Collaborate with team members to ensure high-quality, timely outputs across product operations workstreams.
• Translate technical concepts and data into clear, structured insights for internal and external stakeholders.
• Contribute to reusable templates, process documentation and standard practices to improve efficiency and scalability.
• Demonstrate curiosity and hypothesis-driven thinking to uncover patterns and build robust analytical models.

Skills

Python

pyspark

SQL

Databricks

ETL

DevOps

CI/CD

AI/ML

Data analysis

Problem solving

Education

Top-tier institute degree

Quantitative discipline

Tools

Tableau

Alteryx

Job description

NPS Prism

Title: Analyst, Product Operations (Python or Pyspark AND SQL AND Databricks)

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. It provides customers with actionable insights and analysis that guide the creation of game‑changing customer experiences, allowing them to see how they compare to competitors on overall NPS® and on every step of the customer journey. Launched in 2019, the company has grown to a team of over 200, serving dozens of clients worldwide. Bain & Company, a top management consulting firm, recognises NPS Prism as one of the world’s best places to work and prioritises diversity, inclusion and collaboration.

Position Summary:

NPS Prism has experienced tremendous growth as a standalone software and data business and is transitioning from a consulting‑led to a technology‑led business. The Analyst will help drive business growth by building world‑class data products and collaborating with the Prism India Hub Team Manager, Product Manager and other stakeholders to deliver commercially successful products across core sectors and regions.

Key responsibilities:

• Develop and optimise ETL/ELT workflows using Databricks, SQL, Python or pyspark.
• Build and maintain scalable data pipelines for processing large datasets from source to emerging data.
• Support senior team members in implementing AI/ML‑driven automation for repetitive data tasks such as validation, coding and anomaly detection.
• Assist in building scheduled data pipelines using Databricks workflows for automated data refresh and processing.
• Develop & maintain client‑ready visualization dashboards in Tableau.
• Support data preparation and analysis using Alteryx or SQL.
• Assist in the execution of benchmarking surveys, including sample specification and research data management.
• Provide ongoing support for subscription customers: custom data cuts, methodology queries and insights delivery.
• Collaborate with team members to ensure high‑quality, timely outputs across product operations workstreams.
• Translate technical concepts and data into clear, structured insights for internal and external stakeholders.
• Contribute to reusable templates, process documentation and standard practices to improve efficiency and scalability.
• Demonstrate curiosity and hypothesis‑driven thinking to uncover patterns and build robust analytical models.

Required Qualifications, Experience & Skills

• Education
  • Must Have: Graduate from a top‑tier institute or equivalent engineering college/university.
  • 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 2 years of professional experience in Python or pyspark, SQL and Databricks at renowned companies.
  • Good To Have: Basic experience with Tableau, building dashboards and maintaining reports.
  • Good To Have: Hands‑on exposure to survey design, data processing and visualization.
  • Good To Have: Professional experience in Alteryx.
• Technical Skills
  • 1 to 2 years of professional experience in Python or pyspark, SQL and Databricks.
  • Basic experience with Tableau and report maintenance.
  • Proven experience using Alteryx or similar data preparation tools.
  • Understanding of core statistical and analytical methods.
  • Solid grasp of ETL tools like Python and basic knowledge of DevOps practices and CI/CD pipelines (good to have).
  • Basic familiarity with AI/ML concepts for automating data workflows.
  • Exposure to Databricks workflows or similar orchestration tools for scheduling and automating pipelines and integrating 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 a remote team and capable of independently problem‑solving.
  • Eager to learn and open to feedback with a growth‑oriented mindset.