Data Analyst

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.

THE JOB RESPONSIBILITIES INCLUDE
- Analyze large, complex datasets to identify trends, patterns, and actionable insights that support business decisions

- Develop, maintain, and optimize reports, dashboards, and analytical models to measure operational and financial performance

- Translate analytical findings into clear, concise, and executive-ready summaries and presentations

- Partner with stakeholders to understand business needs, define requirements, and deliver data-driven solutions

- Query and manipulate data using SQL and other tools to extract, transform, and prepare datasets for analysis

- Build and maintain structured datasets, including joining tables and validating data integrity

- Partner with Operations, Account Management, Product, IT, and Data management teams to align data solutions with business needs

- Apply critical thinking to identify root causes of issues and recommend practical, data-backed solutions

- Ensure accuracy and reliability of all analyses through thorough validation and quality checks

- Document methodologies, assumptions, and processes to support transparency and repeatability

- Manage multiple projects and priorities in a fast-paced, deadline-driven environment

- Communicate effectively with both technical and non-technical audiences to drive understanding and alignment

- Support continuous improvement initiatives through data analysis and performance monitoring

- Stay current on analytics tools, methodologies, and industry trends to enhance capabilities

- Other duties as required

REQUIREMENTS AND QUALIFICATIONS
- Bachelor’s degree in Analytics, Finance, Business, Computer Science, Healthcare Administration or other related field required

- 5+ years of experience in data analysis, reporting, or working with relational databases required

- 3-5 years of experience in healthcare, revenue cycle, or SaaS environment strongly preferred

- Familiarity with healthcare terminology (e.g., CPT codes, DRG, claims, inpatient/outpatient)

- Experience with BI tools such as Power BI, Tableau, or Qlik preferred

- Experience with Databricks Data Intelligence Platform

- 3 years of integrating Databricks, Power BI, and Claude Code

- Experience in statistical analysis or predictive modeling techniques

- Proficiency in Microsoft Excel, PowerPoint, and experience writing SQL queries

- 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 & PREREQUISITES
- Practices and adheres to EnableComp’s Core Values, Vision and Mission

- Strong ability to communicate complex data insights clearly to audiences with varying levels of technical expertise

- 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 problem-solving mindset with the ability to independently drive work to completion

- Ability to collaborate effectively across teams while also working independently when needed

- Ownership mindset with accountability for deliverables and outcomes