Business Intelligence Analyst/Developer
MedReview is seeking a skilled Business Intelligence Analyst/Developer to join our Innovation & Development (PI) team. You will be instrumental in building and maintaining our BI suite, enabling data driven decision making, opportunity discovery and clear communication focusing on key metrics using ClickHouse, SQL, and Python. Your work will directly support strategic initiatives, opportunity identification, process and quality improvement programs, and operational efficiency across the organization. Key Responsibilities:
- Data Engineering & Modeling: Work with the data engineer to design, develop, and maintain efficient data models, ETL/ELT processes, and data pipelines within ClickHouse for complex healthcare datasets (claims, clinical, EMR, operational).
- Advanced SQL & ClickHouse Development: Write complex, high-performance SQL queries and ClickHouse functions to extract, transform, and load data for reporting and analytics.
- Python for Data Science: Utilize Python (Pandas, NumPy, Scikit-learn) for data cleaning, transformation, statistical analysis, predictive modeling, and automation of BI tasks.
- Dashboard & Report Development: Create intuitive, interactive, and scalable dashboards and reports using BI tools ( Power BI) to visualize KPIs for clinical, financial, and operational stakeholders.
- Performance Improvement (PI) Focus: Translate stakeholder needs into actionable BI solutions that support quality measurement, risk stratification, care gap analysis, and operational bottlenecks.
- Data Quality & Governance: Ensure data accuracy, integrity, and security; implement data governance best practices.
- Stakeholder Collaboration: Partner with clinicians, operational leaders, IT, and other SMEs to gather requirements, provide training, and deliver data-driven insights.
- Ad-Hoc Analysis: Perform deep-dive analyses to answer critical business questions and support strategic decision-making.
- Experience: 3+ years in Business Intelligence, Data Analytics, or a related field, with significant experience in healthcare data.
- Technical Skills:
- Expert proficiency in SQL and relational databases.
- Proven experience with (performance tuning, data modeling).
- Strong programming skills in for data manipulation and analysis.
- Skill in designing intuitive, professional visualizations with BI visualization tools (Tableau, Power BI, etc.).
- Familiarity with cloud data platforms (AWS, Azure, GCP) is a plus.
- Healthcare Knowledge: Understanding of healthcare data standards (HL7, FHIR), claims processing, EMR data, and regulatory requirements (HIPAA).
- Analytical Skills: Strong problem-solving, critical thinking, and ability to translate complex data into clear narratives.
- Education: Bachelor's degree in Computer Science, Information Systems, Health Informatics, or a related quantitative field.
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