Sagis Diagnostics is one of the fastest-growing pathology practices in the country. We operate multiple specialized laboratories, including anatomical, cytology, flow, toxicology, and molecular facilities. We foster a dynamic, fast-paced environment where professional and personal growth is encouraged. Our commitment extends beyond healthcare to active community involvement, supporting initiatives such as the Houston Food Bank, Houston Livestock and Rodeo, blood drives, and various youth programs.
Position Overview
Sagis seeks a highly skilled and engaged Senior Data Analyst to focus primarily on medical billing analysis and reporting. This role will "own" the buildout of operational dashboards, KPIs, transaction monitoring, and process improvement analyses that will be fundamental to the practice's day-to-day management and growth.
This role will be highly visible, interacting daily with personnel across all the company's functional areas. The position requires a candidate with a strong data analysis and BI background, a passion for building and improving processes, a high degree of curiosity, and follow-through.
Educational Requirements
Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or Business
Or a Certificate in Data Science with 5+ years of work-related experience
Key Responsibilities
Data Extraction and Analysis
Access and extract large volumes of data from our healthcare billing database to analyze revenue cycle performance metrics.
Develop complex queries and data visualizations using business intelligence tools (experience with Zoho Analytics, Tableau, Power BI) to identify trends, patterns, and outliers in key RCM metrics such as charges, payments, denial rates, days sales outstanding (DSO), and claim submission timeframes.
Performance Reporting and Actionable Insights
Create comprehensive reports and dashboards to present actionable insights to leadership regarding revenue cycle performance, including areas of improvement, potential risks, and opportunities for optimization.
Analyze payer mix, patient demographics, and coding accuracy to identify areas for targeted interventions.
Process Improvement and Project Management
Collaborate with RCM teams to identify and implement data-driven solutions to address identified issues, such as streamlining workflows, improving charge capture practices, and reducing claim denials.
Lead data analysis projects to support strategic initiatives like new billing regulations, coding updates, and payer contract negotiations.
Compliance and Regulatory Monitoring
Monitor data for compliance with healthcare regulations (e.g., HIPAA, ICD-10 coding guidelines) and identify potential compliance risks.
Analyze data to ensure accurate billing practices and appropriate charge capture.
Stakeholder Collaboration
Partner with billing staff, coding specialists, patient registration teams, and financial leadership to understand their needs, interpret data findings, and communicate actionable recommendations.
Provide training and support to operational teams on data-driven insights to improve revenue cycle performance.
Required Skills and Qualifications
Technical Skills
Proficiency in data analysis tools (e.g., SQL, SAS, Python, R) for data manipulation and query development
Expertise in business intelligence platforms (e.g., Zoho Analytics, Tableau, Power BI) to create visually appealing dashboards and reports
Understanding of relational databases and their principles
Healthcare Knowledge
Deep understanding of the healthcare revenue cycle process, including patient registration, coding, billing, and collections
Familiarity with payer regulations and billing guidelines
Analytical Skills
Strong analytical skills to interpret complex data sets and identify trends, patterns, and root causes
Ability to translate data insights into actionable recommendations for operational improvements
Communication Skills
Excellent communication skills to effectively present data findings to diverse stakeholders, including technical and non-technical audiences
Ability to collaborate effectively with cross-functional teams to achieve project goals
Success Indicators
Team-oriented approach with the ability to take initiative, prioritize, and manage multiple tasks simultaneously to meet expectations and deadlines across multiple projects
Flexibility, adaptability, and level of comfort with ambiguity and fluid priorities
Professional client service manner and demonstrated ability to take initiative
Ability to work both independently and collaboratively
Flexibility and diplomacy in professional relationships
Sagis Diagnostics is an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees.