Senior Data Analyst - Healthcare EDI Domain

techbiz software • India
Remote
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AI Summary

TechBiz Software is seeking a skilled Data Analyst with experience in the healthcare EDI domain to extract, analyze, and transform EDI 837 healthcare claim data. The ideal candidate will have strong expertise in Python and SQL, as well as hands-on experience with EDI 837 and healthcare data workflows.

Key Highlights
Extract, analyze, and transform EDI 837 healthcare claim data
Build and optimize data pipelines using Python and SQL
Collaborate with cross-functional teams to ensure accurate data mapping and reporting
Technical Skills Required
Python SQL EDI 837 Healthcare data workflows
Benefits & Perks
Fully remote role based out of India

Job Description


Company Description

TechBiz, founded in 2014, is a leading IT Product Development company specializing in the Logistics, Healthcare, Banking, Financial, and Insurance sectors. We help clients navigate technology advancements, regulatory challenges, and global market demands through innovative solutions and agile-scrum methodologies. With expertise in Artificial Intelligence, Machine Learning, IoT, Blockchain, and Cloud computing, we guide organizations on successful Digital Transformation journeys.


This is a fully remote role based out of India. We are seeking a skilled Data Analyst with strong experience in the healthcare EDI domain, specifically working with 837 files for data extraction, analysis, and transformation.


🔹 Key Responsibilities:
  • Extract, analyze, and transform EDI 837 healthcare claim data
  • Build and optimize data pipelines using Python and SQL
  • Work with large datasets to generate meaningful insights and support decision-making
  • Collaborate with cross-functional teams to ensure accurate data mapping and reporting


🔹 Required Skills & Experience:
  • 5+ years of professional experience as a Data Analyst
  • Strong expertise in Python & SQL
  • Hands-on experience with EDI 837 and healthcare data workflows
  • Solid understanding of data quality, validation, and transformation processes


🔹 What We’re Looking For:
  • A detail-oriented and analytical professional who can work independently, understand complex healthcare data structures, and deliver high-quality outputs.

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