Data Analyst

Overview

Analyze large datasets to ensure data coverage, accuracy, completeness and freshness for CertifyOS's provider data platform, and drive data-driven improvements.

What you'll do

• Monitor data freshness, coverage, pipeline failures and operational metrics; identify issues and coordinate resolutions.
• Own end-to-end data readiness activities, identify coverage gaps, and ensure data quality standards are met before go-live.
• Perform data validation, reconciliation and quality assessments.
• Investigate data issues, coordinate refreshes and corrective actions, and collaborate with cross-functional teams to resolve data gaps.
• Build and maintain dashboards, quality scorecards and operational reports to track key metrics.
• Develop SQL and Python-based workflows to automate data processing, validation, reporting and recurring analysis.

What you'll need

• Strong proficiency in SQL (Google BigQuery) and Python (Pandas).
• Hands-on experience with Google Cloud Platform (GCP), particularly BigQuery and Google Cloud Storage (GCS).
• Strong analytical and problem-solving skills, with the ability to identify data patterns, trends, anomalies and root causes.
• Experience with data cleaning, preprocessing, validation and reconciliation.
• Experience with data visualization tools such as Looker, Studio, Power BI or Tableau.
• Strong communication skills and ability to independently manage analytical workflows.

Nice to have

• Healthcare domain knowledge, particularly provider data, credentialing or licensing.
• Familiarity with ETL/ELT pipelines, data ingestion and workflow automation.
• Experience with Git, AI-assisted analytics and automation tools.

Details

• Location: Bengaluru, India.
• Benefits in India include health insurance, statutory leave benefits and wellness (menstrual) leave for women.