Job Title: Senior Healthcare Data Analyst EHR/EMR & Interoperability Expert
Location: Eden Prairie Minnesota (Hybrid 3 days onsite)
Duration: 6 Months
Job Description:
We are looking for a highly experienced and technically proficient Senior Healthcare Data Analyst with a strong background in EHR/EMR data ecosystems healthcare interoperability standards and clinical informatics. The ideal candidate will bring a deep understanding of healthcare data models FHIR APIs and population health analytics to drive actionable insights across clinical and operational domains.
This is a strategic hands-on role suited for a healthcare IT expert passionate about leveraging data to improve care delivery outcomes and compliance.
Key Responsibilities:
Architect and execute complex data extraction transformation and loading (ETL) processes from multiple EHR/EMR platforms (Epic Cerner Meditech Athenahealth).
Integrate and normalize clinical claims financial and patient-reported data across disparate systems.
Utilize advanced analytics techniques (predictive modeling risk stratification machine learning) to identify care gaps high-risk patients and clinical performance trends.
Develop FHIR-based API integrations and work with HL7 interfaces to support real-time data exchange.
Translate regulatory reporting requirements (eCQMs MIPS ACO HEDIS CMS Stars) into actionable reporting dashboards.
Partner with clinical and administrative stakeholders to align data analytics with value-based care initiatives.
Perform root cause analysis and lead data governance initiatives to ensure high data quality and consistency.
Guide data strategy around healthcare interoperability patient matching and longitudinal patient records.
Required Skills & Qualifications:
Bachelors or Masters in Health Informatics Data Science Biostatistics or related field.
Should have min 8 years of IT experience
5 years of progressive experience in healthcare data analytics informatics or health IT.
Proficiency in SQL Python or R for data wrangling and advanced statistical analysis.
Hands-on experience with FHIR HL7v2 CDA/CCD and SMART on FHIR applications.
Deep understanding of EHR data structures clinical data models (OMOP PCORnet i2b2) and HIE systems.
Experience in data visualization and BI tools like Power BI Tableau Looker or QlikView.
Familiarity with clinical ontologies (SNOMED CT LOINC RxNorm ICD-10 CPT).
Knowledge of HIPAA HITRUST and data privacy/security regulations.
Preferred Qualifications:
Certification in Epic Clarity Caboodle or other EMR analytics platforms.
Familiarity with cloud data warehouses (e.g. Snowflake Redshift Azure Synapse).
Experience working with payer data claims adjudication or actuarial modeling.
Knowledge of NLP techniques applied to clinical notes and unstructured data.
Hands-on experience supporting NCQA CMS ACO REACH or other quality programs.
Thanks&Regards
Venkat
Healthcare Data Analyst
