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Mid-tier employer, common Data Analyst role, 2–6 years, metro location, broad SQL/Python/BI skillset.
SQL, Python and BI skills are highly transferable across industries.
Explicit 2–6 years requirement and mandatory SQL with analytics experience make filters strict.
Perform data cleaning, data analysis, and ETL operations to support end-user use cases.
Create and automate data workflows primarily using SQL and Python to reduce manual effort and improve reporting speed.
Analyze large claims datasets (1M+ records) to derive actionable insights in healthcare or similar domains.
2–6 years of relevant work experience in Data Analysis or related roles.
Strong proficiency in SQL (mandatory).
Work from office in Noida for 4 days a week, shift timing 11 AM to 9 PM.
Experience with Python, Tableau or Power BI is preferred but not mandatory.
Background in Data Analysis or Analytics rather than pure Data Engineering with PySpark, Databricks, or Spark.
Experience in healthcare analytics or handling large-scale datasets (e.g., 1M+ patient records) is advantageous.
Demonstrated ability to develop and automate SQL and Python data transformation workflows that significantly reduce manual data preparation efforts.