Analyst, Product Operations (Tableau, Databricks, Python or Pyspark and SQL)
NPS Prism (company site, opens in a new tab)1–4 yrsGurugramOn-siteDirect career pageEst. 8–18 LPA
Posted on 31 Aug
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at NPS Prism
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at NPS Prism you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, build, and optimize scalable ETL/ELT data pipelines using Databricks, Python or PySpark, and SQL.
- Develop and maintain client-ready Tableau dashboards and support data preparation and analysis using SQL and tools like Alteryx.
- Support benchmarking survey execution, provide subscription customer support including custom data cuts, and contribute to process documentation and reusable templates.
Minimum Requirements
- 1 to 4 years professional experience with Python or PySpark, SQL, and Databricks at renowned companies.
- Basic experience with Tableau for dashboard building and report maintenance.
- Graduate from a top-tier institute or equivalent engineering college/university.
- Work Experience Required: 1 to 4 years in relevant tools and technologies.
Ideal Candidate Profile
- Experience in building and automating data pipelines with familiarity of CI/CD and DevOps practices is advantageous.
- Familiarity with AI/ML concepts for automating data workflows and with orchestration tools like Databricks workflows to schedule/automate pipelines.
- Exposure to survey design, data processing, visualization, and client interaction to transform data insights for business impact.