πWorldwide
Senior Healthcare Bi Analyst
CardioOne
π΅ $120k-$130k
πRemote - United States
Please let CardioOne know you found this job on JobsCollider. Thanks! π
Summary
Join CardioOne as a Senior Healthcare Business Intelligence Analyst and play a critical role in extracting, analyzing, and interpreting complex healthcare data to drive strategic and operational decisions. You will leverage your expertise in business intelligence tools and healthcare data models to collaborate with cross-functional teams. This role demands a deep understanding of healthcare operations, data visualization, and strong analytical skills. You will report to the Chief Product Officer and work remotely. CardioOne offers a competitive salary, benefits package, and a supportive work environment. We are seeking a highly skilled and motivated individual to contribute to our mission of positively impacting US cardiology.
Requirements
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field (e.g., Healthcare Informatics, Data Science, Business Analytics)
- Minimum of 6 years of relevant healthcare industry experience working in analytics, reporting, business intelligence, or data management role required
- Proven experience as a Business Intelligence Developer in the healthcare industry
- Strong proficiency in BI tools such as Tableau, Power BI, or similar
- Experience with healthcare data standards (HL7, FHIR) and EHR systems
- Solid understanding of database design, data warehousing, and ETL processes
- Analytical mindset with the ability to think critically and solve complex problems
- Effective communication and collaboration skills
- Self-starter and entrepreneurial mindset
Responsibilities
- Analyze and understand healthcare data sources, including electronic health records (EHR), claims data and other relevant datasets
- Design and implement healthcare data models that align with organizational goals and support various analytical initiatives
- Analyze large datasets to identify trends, patterns, and opportunities for performance improvement in healthcare operations
- Interpret and translate complex healthcare data into meaningful insights that support strategic and operational decision-making
- Design and develop healthcare-focused business intelligence solutions using tools such as Tableau, Power BI, or similar platforms
- Create interactive dashboards and reports to visualize key healthcare metrics and performance indicators
- Ensure the accuracy and reliability of reporting, collaborating with data engineers and IT teams for data validation and quality assurance
- Develop and maintain Extract, Transform, Load (ETL) processes to ensure accurate and timely data integration
- Collaborate with data engineers and vendor engineering teams to optimize data pipelines for performance and reliability
- Partner with healthcare professionals, executives, and other stakeholders to understand their data and reporting needs
- Work collaboratively with IT, data engineering, and other relevant departments to integrate data sources and ensure a cohesive data strategy
- Identify areas for performance improvement in healthcare processes through data analysis, providing recommendations for enhanced efficiency and effectiveness
- Monitor key performance indicators (KPIs) and proactively address issues to drive continuous improvement
- Ensure compliance with healthcare data privacy and security regulations (e.g., HIPAA) in all data-related activities
- Collaborate with compliance officers and legal teams to address any potential risks related to data usage
- Implement data quality standards and ensure the accuracy and reliability of healthcare data
- Adhere to data governance policies and best practices
Preferred Qualifications
- Preference given to those who work in Central or Eastern Time Zone
- Remote: Colorado, Delaware, Florida, New Hampshire, New Jersey, New York, Pennsylvania, Texas
Benefits
- Full-time base salary range of $120,000 to $130,000
- Medical
- Dental
- Vision
- 401K match
- PTO (Personal Time Off)
- Sick time
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