Position: Healthcare Data Analyst
Location: Remote
Contract
The Healthcare Data Analyst is responsible for analyzing, mapping, and transforming healthcare data to support business insights and decision-making. This role will focus on analyzing large data assets from various source systems, interpreting healthcare industry standards, and implementing data models within healthcare data environments. Strong collaboration with cross-functional teams, strong SQL skills and good understanding of ETL/ ELT processes, data mapping and data integration and transformation are essential.
Responsibilities:
• Work with healthcare data models and standards, including HL7, FHIR, and other healthcare terminologies, to ensure data interoperability and compliance.
• Analyze and map data from various sources, create transformation logic, and validate data accuracy.
• Conduct data analysis using SQL to support reporting, insights, and analytics initiatives without relying on BI tools.
• Understand… ETL/ELT processes and data warehousing (DWH) concepts, especially in cloud environments such as Azure, Databricks, and Snowflake.
• Interpret business requirements into data models, transformation scripts, and technical specifications.
• Identify data quality issues, conduct root cause analysis (RCA), and document solutions or remediation steps.
• Maintain comprehensive documentation for data mappings, transformation logic, and technical requirements.
• Work effectively with both business and technical teams, serving as a bridge to communicate requirements, data definitions, and transformation rules.
• Use Excel for data analysis, reports, and visualizations to communicate findings to stakeholders.
Qualifications:
• Bachelor s degree in Healthcare Informatics, Computer Science, Data Science, or related field.
• 3+ years of experience in data analytics, with a focus on healthcare data, data mapping, and transformation.
• Strong SQL skills, with the ability to write complex queries.
• Knowledge of ETL/ELT processes, and familiarity with data modelling, data warehousing and cloud-based platforms (Azure, Databricks, Snowflake).
• Ability to identify data quality issues and provide practical solutions.
• Excellent communication skills to interact with business and technical stakeholders.
Preferred Skills:
• Familiarity with Python or PySpark, and knowledge of data formats like JSON and XML.
• Understanding of Reference Data Management (RDM) and Master Data Management (MDM).
• Skills in data visualization tools (e.g., Power BI, Tableau) and experience with presentation tools.
Thanks& Regards
Shanu Francis
_____________________
Parmesoft Inc.
2626 Cole Ave,Ste:300
Dallas, TX. 75204
Phone:
Fax:
