
Data Operations Analyst
Accuity
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- Build and support ETL processes that map, transform, and load client healthcare data into Accuity’s platform
- Monitor daily inbound feeds, validate data quality and completeness, and investigate missing or failed files
- Collaborate with internal stakeholders to resolve data issues quickly
- Execute testing and QA across each step of the data processing lifecycle (ingestion through final outputs)
Requirements
- MS/BS degree in Computer Science, Engineering, or equivalent preferred
- 3+ years of experience in data operations, data engineering, or ETL/pipeline support (healthcare data strongly preferred)
- Strong SQL skills (or equivalent querying) to validate data, troubleshoot issues, and perform reconciliations
- Hands-on experience building and supporting ETL processes (batch file ingestion and transformations)
- Experience documenting ETL mappings, transformation logic, and data lineage
- Familiarity with Azure Data Factory (preferred) or similar orchestration tools
- Strong understanding of healthcare datasets
Benefits
- Health insurance
- Flexible working arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ETL processesSQLdata validationdata qualitydata transformationdata ingestiondata lineagedata reconciliationdata operationsdata engineering
Soft Skills
collaborationproblem-solvingcommunicationattention to detailanalytical thinking