Healthcare Data Analyst

Job Brief:

About the Role Bacancy Technology is seeking a Healthcare Data Analyst to derive actionable insights from complex healthcare datasets including claims data, clinical records, population health data, and operational metrics. You will build analytics solutions that help health systems improve care quality, reduce costs, optimize operations, and meet regulatory reporting requirements. This role bridges the gap between raw healthcare data and informed decision-making.

Role: Healthcare Interoperability

Experience: 4+Years

Position Open: 1

Job Location: Iselin Nj

Work from Home Available: Not Available

Salary: Not a constraint for the right candidate

Roles and Responsibility:

Analyze clinical, claims, and operational healthcare data to identify trends, patterns, and actionable insights for stakeholders
Build interactive dashboards and reports using Tableau, Power BI, or Looker for clinical quality, financial performance, and operational metrics
Design and implement quality measurement analytics including HEDIS, CQM, MIPS/APM, and value-based care metrics
Develop population health analytics including risk stratification models, care gap identification, and chronic disease cohort analysis
Create data pipelines for healthcare data integration from EHR systems, claims databases, HIEs, and public health datasets
Perform statistical analysis and predictive modeling for readmission risk, patient no-show prediction, and resource utilization forecasting
Ensure data quality, integrity, and governance across healthcare analytics systems
Translate complex analytical findings into clear, actionable recommendations for clinical and executive audiences

Skill Requirement:

Bachelor’s or Master’s degree in Health Informatics, Data Science, Statistics, Public Health, or related field
3+ years of data analysis experience in healthcare, public health, or health insurance settings
Proficiency in SQL and at least one analytics language (Python or R)
Experience with visualization platforms (Tableau, Power BI, Looker, or Qlik)
Understanding of healthcare data types: claims (837/835), clinical (EHR), pharmacy, lab, and eligibility data
Knowledge of healthcare quality measures (HEDIS, CQM, MIPS) and regulatory reporting requirements
Experience with healthcare data standards (ICD-10, CPT, SNOMED CT, LOINC, NDC)
Strong communication skills for presenting data insights to clinical and non-technical audiences

Nice to have

Analytics & BI Tableau, Power BI, Looker, Qlik, SSRS, Excel (advanced)
Programming SQL (advanced), Python (Pandas, NumPy, scikit-learn), R, SAS
Healthcare Data Claims data (837/835), EHR data, pharmacy data, HEDIS, CQM, APM/MIPS
Data Engineering ETL tools, dbt, Apache Airflow, Snowflake, Redshift, healthcare data warehouses
Statistical Methods Regression, survival analysis, risk stratification, cohort analysis, A/B testing
Data Governance Data quality frameworks, master data management, HIPAA de- identification

Qualification: B.Tech/B.E/MCA

Office Timings: 10.00 AM to 7.00 PM

Perks and Benefits: