Sr. Business Analyst, Revenue Cycle

EyeSouth Partners•Atlanta, GA

About The Position

The Sr. Business Analyst, Revenue Cycle develops and manages key revenue cycle management metrics and provides analytical support for ongoing special projects. As a senior member of the Revenue Cycle Management team, this role leads individual projects and mentors other team members. The position also identifies, develops, and implements automation and artificial intelligence solutions to improve revenue cycle efficiency, accuracy, and performance. The analyst develops recurring and ad-hoc reports, analyzes claims and revenue data, creates queries and reporting to identify revenue trends, and turns detailed datasets into financial information for revenue review. The role collaborates across teams to communicate insights on key metrics and conducts research and analysis in support of revenue cycle goals. The position identifies manual workflows suitable for automation and builds or supports solutions using tools such as Power Automate, RPA platforms, Python, or SQL. It uses AI and machine learning for predictive analytics, evaluates and pilots AI-enabled technologies with IT, operations, and vendors, measures their performance and ROI, and develops automated dashboards and reporting pipelines. Solutions must comply with HIPAA, data security, and company data governance standards.

Requirements

At least 5 years of professional experience in an analytical role; healthcare experience is preferred.
Strong research, problem-solving, and analytical skills, with an understanding of business intelligence tools.
Comprehensive knowledge of Microsoft Office applications, including Word, Excel, and PowerPoint.
Ability to independently drive results and meet deadlines.
Ability to communicate effectively with internal and external stakeholders at various cohort levels.
Flexibility and willingness to take on new tasks and challenges.
Ability to develop collaborative relationships with internal partners and engage and build consensus among cross-functional teams.
Working knowledge of HIPAA and responsible data use practices when applying automation and AI to protected health information.

Nice To Haves

Bachelor’s degree with an emphasis in business, healthcare, and/or accounting.
At least 4 years of experience in healthcare billing, healthcare reimbursement, and healthcare revenue cycle management.
Experience with SQL, Python, Tableau, or Power BI.
Experience designing and implementing process automation, such as Power Automate, UiPath, Automation Anywhere, or scripting.
Hands-on experience applying AI tools, including generative AI (such as Microsoft Copilot, Claude, or ChatGPT) and/or machine learning models, to business or healthcare data.
Ability to translate business needs into automation and AI use cases and evaluate the accuracy, risk, and value of AI-generated outputs.
Proven ability to extract, manipulate, and interpret data.
Understanding of healthcare claim data and payor contracts, or desire and ability to learn.

Responsibilities

Design, prepare, modify, and develop recurring and ad-hoc revenue cycle reports.
Review, process, and analyze information related to claims submission and revenue.
Design queries and manipulate large volumes of data to create reports that identify and interpret revenue trends.
Analyze detailed datasets and transform them into meaningful financial information for revenue review.
Communicate analytical overviews of key metrics across teams.
Identify opportunities to automate manual revenue cycle workflows and build or support automated solutions.
Leverage AI and machine learning tools for predictive analytics, including denial prediction, underpayment detection, cash forecasting, and work queue prioritization.
Evaluate, pilot, and help implement AI-enabled revenue cycle technologies with IT, operations, and vendors; measure and report on ROI and performance.
Develop automated dashboards and reporting pipelines to reduce manual effort and provide timely self-service insights.
Ensure automation and AI solutions comply with HIPAA, data security, and company data governance standards.
Conduct research and ad-hoc analysis to support revenue cycle goals.
Lead individual projects and mentor other team members.