Job Description

Job Title: Senior Healthcare Data Analyst EHR/EMR & Interoperability Expert

Location: Eden Prairie, Minnesota (Hybrid 3 days onsite)
Duration: 6 Months +

Note: Need Healthcare Data Analyst

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.

Thanks & Regards

N Sai Akhil

akhil@tror.ai

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