EnableComp
Posted 21 days ago
Senior Data Analyst
Franklin, TNOn-siteFull-time
AI Summary
Senior Data Analyst translates data findings into actionable insights for leadership, develops dashboards and models, and partners with stakeholders to improve operational and financial performance.
About this role
EnableComp provides Specialty Revenue Cycle Management solutions for healthcare organizations, leveraging over 24 years of industry-leading expertise and its unified E360 RCM™ intelligent automation platform to improve financial sustainability for hospitals, health systems, and ambulatory surgery centers (ASCs) nationwide. Powered by proprietary algorithms, iterative intelligence from 10M+ processed claims, and expert human-in-the-loop integration, EnableComp provides solutions across the revenue lifecycle for Veterans Administration, Workers’ Compensation, Motor Vehicle Accidents, and Out-of-State Medicaid claims as well as denials for all payer classes. By partnering with clients to supercharge the reimbursement process, EnableComp removes the burden of payment from patients and provider organizations while enabling accelerated cash, higher and more accurate yield, clean AR management, reduced denials, and data-rich performance management. EnableComp is a multi-year recipient the Top Workplaces award and was recognized as Black Book's #1 Specialty Revenue Cycle Management Solution provider in 2024 and is among the top one percent of companies to make the Inc. 5000 list of the fastest-growing private companies in the United States for the last eleven years.
Position Summary
The Data Analyst responsibilities will include but not limited to quantitative analysis and predictive modeling of healthcare data to provide management with statistical findings and conclusions. The ideal candidate should be able to develop, collect and analyze metrics and data to formulate fact-based decisions and proactively implement process improvements through analysis of claim and operational data.
Key Responsibilities
- Lead complex data analyses to identify trends, risks, and opportunities that support business decisions and operational improvements
- Design and develop advanced reports, dashboards, and analytical models to measure operational and financial performance
- Translate complex analytical findings into clear, concise, and executive-ready insights & recommendations
- Partner with stakeholders to define analytical requirements and shape data-driven solutions
- Proactively identify areas for process improvement and drive recommendations based on data insights
- Build, validate, and maintain complex datasets, ensuring data accuracy, integrity, and consistency
- Write and optimize advanced SQL queries to extract, manipulate, and analyze large datasets
- Collaborate with IT and data management teams to support data acquisition, integration, and system enhancements
- Support and help facilitate recurring reporting processes, including contributions to Quarterly Business Reviews (QBRs) and other leadership reporting
- Apply critical thinking to diagnose root causes of issues and recommend scalable solutions
- Ensure quality and reliability of all deliverables through rigorous validation and documentation of methodologies
- Document processes, logic, and assumptions to support transparency, repeatability, and knowledge transfer
- Manage multiple projects and priorities independently in a fast-paced, deadline-driven environment
- Provide guidance and informal mentorship to junior analysts, supporting skill development and best practices
- Communicate effectively with both technical and non-technical audiences to drive understanding and alignment
- Act as a trusted partner to stakeholders by effectively communicating insights to both technical and non-technical audiences
- Support continuous improvement initiatives through data analysis and performance monitoring
- Maintain working knowledge of business applications and support ongoing enhancements and optimization
- Stay current on analytics tools, methodologies, and industry trends to continuously improve capabilities
- Other duties as required
Requirements and Qualifications
- Bachelor’s degree in Analytics, Finance, Business, Computer Science, Healthcare Administration or other related field required
- 4+ years of experience in SQL, data analysis, reporting, and working with relational databases required
- 3 years of experience in healthcare, revenue cycle, or SaaS environment strongly preferred
- Advanced proficiency in data extraction, transformation, and analysis
- Familiarity with healthcare terminology (e.g., CPT codes, DRG, claims, inpatient/outpatient)
- Experience with BI tools such as Power BI, Tableau, or Qlik
- Exposure to statistical analysis or predictive modeling techniques
- Experience supporting business reviews or executive-level reporting
- Timely and regular attendance.
- Equivalent combination of education and experience will be considered
- To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions.
Special Considerations and Prerequisites
- Practices and adheres to EnableComp’s Core Values, Vision and Mission
- Strong analytical, problem-solving, and critical thinking skills with the ability to work independently
- Strong ability to communicate complex data insights for a variety of audiences, including leadership
- High attention to detail with a focus on accuracy, validation, and quality of work
- Strong organizational and time management skills with the ability to manage competing priorities
- Demonstrated ability to take ownership of work and drive projects through to completion with minimal oversight
- Ability to influence outcomes through data-driven recommendations and effective communication
- Collaborative mindset with the ability to work cross-functionally and support team development
Skills
Advanced SQLDashboardsData ExtractionData GovernanceData ModelingData TransformationData VisualizationData WarehousingETL/ELTExecutive-level ReportingKPI DevelopmentPower BIPredictive ModelingQlikRelational DatabasesSQLStatistical AnalysisTableau
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