Clinical Data Analyst

Location:Chennai / Remote (India)

Company:OPOS Solutions (US-based Healthcare Technology Company)

Employment Type:Full-time

Domain:Healthcare Data Analytics / EHR / PHI / PMI

OPOS Solutions is a US-based healthcare technology provider specializing in clinical data workflows, compliance intelligence, practice reporting, and interoperability. We work with sensitiveEHR, PHI, PMI and clinical operational datasets, supporting medical practices with insights, automation, and regulatory reporting.

We are seeking aClinical Data Analystwho can manage, interpret, and validate healthcare data across multiple systems includingEHR data, practice management data, patient demographics, appointments, PDMP, compliance datasets, and operational clinical metrics. The ideal candidate should be skilled in working with healthcare datasets stored acrossMySQL, MongoDB, Google Sheets/Drive, and other structured/unstructured sources while ensuring strict data privacy and HIPAA-aligned handling.

Extract, clean, transform, and validate clinical and practice datasets from:

• MySQL patient and clinical records
• MongoDB appointment and operational data
• Google Sheets / cloud documents / CSVs

Create dashboards and reports for:

• compliance tracking
• PDMP monitoring
• clinical quality and performance indicators
• provider productivity and scheduling analytics
• patient attribution and engagement metrics

Perform data audits to ensure accuracy, completeness, and PHI integrity

Work with internal teams to support:

• product development
• customer reporting needs
• regulatory data submissions
• analytics for decision-making

Implement data dictionaries, mapping logic, and metadata standards

Maintain HIPAA-aligned handling of PHI and PMI at all times

Collaborate with engineering to improve data pipelines and automation

Healthcare data workflows (EHR/PM/clinical systems)

Understanding of PHI, PMI, HIPAA handling protocols

Familiarity with PDMP, compliance reporting, and clinical measures

SQL and MySQL querying

MongoDB querying and aggregation

Data wrangling using Excel/Sheets and CSV sources

ETL / data cleansing concepts

Ability to reconcile disparate datasets

Strong statistical and analytical thinking

Ability to produce insights and narrative summaries

Experience with dashboards (any of the below):

• Power BI
• Tableau
• Metabase
• Google Data Studio / Looker Studio

Experience in HL7, CCD/CCDA, FHIR data models

Experience with Python or R for data processing

Experience in healthcare operations or RCM analytics

Experience working with US healthcare practices

Experience with data quality automation

High attention to detail

Strong data confidentiality discipline

Ability to work independently with remote US teams

Clear communication and documentation abilities

• Degree in Health Informatics, Data Analytics, Statistics, Life Sciences, Computer Science, or related
• (Equivalent practical experience is acceptable)

Work with real-world clinical datasets

Growing healthcare tech environment

Opportunity to influence data strategy and architecture

• Exposure to US healthcare compliance and analytics