Hello Everyone, Hope you are doing great!! Job Title: Senior Healthcare Data Analyst Location: Eden Prairie, Minnesota (Hybrid 3 days onsite) 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: • € Bachelor’s or Master’s 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.