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

Npsprism; Gurugram District; On-site; INR 600,000 - 1,000,000; Full time

Job summary

Npsprism is seeking an Analyst in Product Operations for their Gurugram office. This role involves developing data pipelines using Python or PySpark and SQL, optimizing ETL workflows, and creating client-ready dashboards.

The ideal candidate has 1 to 2 years of relevant experience and a degree from a top-tier institute. Familiarity with Databricks, Tableau, and Alteryx is advantageous. Npsprism offers a dynamic work environment with opportunities for growth and learning.

Qualifications

• 1 to 2 years of professional experience in Python or PySpark and SQL.
• Good to have: Basic experience in Tableau and Alteryx.
• Familiarity with core statistical methods.

Responsibilities

• Develop data pipelines and optimize ETL/ELT workflows.
• Support AI/ML-driven automation for data tasks.
• Assist in building dashboards and reports for clients.

Skills

Python or PySpark

SQL

Databricks

Tableau

Alteryx

Education

Graduate from a top-tier institute or equivalent engineering college/university

Degree in a quantitative discipline

Tools

ETL tools

CI/CD pipelines

Job description

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

Key responsibilities

• Develop data pipeline by designing, building, and optimizing ETL/ELT workflows using 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.
• 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 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 of Tableau, with building dashboards and maintaining 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 2 years of professional experience in Python or PySpark, SQL and Databricks.
  • Basic experience of Tableau, with building dashboards and maintaining reports.
  • Proven experience using Alteryx or similar data prep/transformation tools.
  • Understanding of core statistical and analytical methods.
  • Solid understanding of ETL tools like Python and basic knowledge of DevOps practices and CI/CD pipelines (Good to have).
  • Basic familiarity with AI/ML concepts and their practical application in automating data workflows.
  • 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 remote work.
  • Eager to learn and open to feedback, with a growth‑oriented mindset.