Data Analyst

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

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CertifyOS

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2021

🏥 Healthcare

☁️ SaaS

🤝 B2B

💰 $40M Series B - Certify on 2025-06

Healthcare • SaaS • B2B

CertifyOS is a healthcare-focused provider data platform that consolidates and verifies provider information to create a single, AI-enabled source of truth. It replaces spreadsheets and point solutions with infrastructure for credentialing, contracting, payments, compliance, and provider data management, offering services like credentialing, licensing, monitoring, and roster management. The platform ingests rosters and real-time feeds, validates records against thousands of sources, and delivers a continuous, clean data stream accessible via one API. CertifyOS is positioned as a B2B SaaS solution for health plans, digital health companies, and health systems, claiming measurable operational improvements (e. g. , reduced re-credentialing costs, faster onboarding) and listing major health plans among its clients.

📋 Description

• Analyze large datasets and drive data-driven improvements • 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 • Ensure reliable data delivery and successful business launches

🎯 Requirements

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

🏖️ Benefits

• 100% coverage of health, dental, and vision insurance premiums for employees • Unlimited PTO for the US-based team, with at least two weeks off each year to recharge • Health insurance for employees in India • Statutory leave benefits in India • Additional wellness (menstrual) leave for women in India

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