Job Title

**PLEASE DO NOT APPLY IF YOU DON'T HAVE U.S HEALTHCARE - REVENUE CYCLE MANAGEMENT (RCM) EXPERIENCE ** Immediate joiner role: This role is open only to candidates with 3–5+ years of experience who can join within 10–15 days. Applicants with extended notice periods will not be considered.** Position: Healthcare Reporting Specialist – Claims & DenialsLocation: Remote (India-Based)Start Date: Immediate - full time Compensation: Competitive Salary + Strong Equity Offering + BenefitsWho We AreGabeo.ai is a fast-growing health tech startup based in the Bay Area (USA), working with healthcare leaders like Astrana Health, Athena Health, and Rebound Orthopedics. We’re transforming the U.S. healthcare revenue cycle using AI-powered agents that recover millions from denied claims — one of the most critical financial pain points in healthcare.At Gabeo.ai, we value:Real-World Impact – Our AI is live and delivering results across major provider groupsSpeed & Autonomy – We move fast, iterate quickly, and trust our teamTeam Culture – A lean, talented, and collaborative global team solving high-value problemsJob Summary:We are seeking a skilled and detail-oriented Reporting Specialist to lead the development of RCM KPI dashboards and denials reporting, leveraging Power BI, Looker Studio, and cloud-based tools such as BigQuery and Cloud SQL. This role will focus on visualizing and improving operational performance across the full revenue cycle by analyzing processed 837 (claims) and 835 (remittance) data sets in structured formats.The ideal candidate will have a solid understanding of healthcare revenue cycle workflows, KPI benchmarking, and a passion for translating complex data into actionable business insights.Key Responsibilities:RCM KPI Reporting & DashboardingDesign, develop, and maintain interactive dashboards in Power BI and Looker Studio to monitor and track key RCM metrics including:0–60 PercentageAged A/R RateBad Debt RateCash Collection % of Net Patient RevenueCharge LagClean Claims RateCost to CollectDays in A/RDNFB & DNSP RatesDenied Claims RateFirst Pass YieldGross and Net Collection RatesPayment AccuracyPatient Payment CollectionPOS Collection RateResolve RateRevenue per VisitRevenue Realization RatePatient Schedule Occupied RateEnsure KPI reports align with industry benchmarks (e.g., MGMA, HFMA, AAFP) and support internal revenue optimization goals.Data Analysis & InsightsAnalyze processed 837 and 835 data sets to identify patterns in denials, payment delays, and revenue leakage.Perform in-depth root cause analysis on denial trends and track performance of appeals and rework efforts.Collaborate with RCM operations, billing, and finance teams to deliver insights that drive improvements in first pass yield, denial rates, and payment accuracy.Data Infrastructure & QualityUse BigQuery, Cloud SQL, or similar databases to access and transform structured claim and payment data.Develop SQL queries to extract and structure data for reporting use.Ensure data accuracy, integrity, and security, especially around handling PHI and HIPAA-compliant datasets.Qualifications:Required Skills & Experience:Bachelor’s degree in Data Analytics, Health Informatics, Computer Science, or related field.2–4 years of experience in healthcare data analysis, preferably in RCM or claims analytics.Proficient in Power BI (DAX) and Looker Studio with experience in DAX and visualization best practices.Strong SQL skills, with experience in Google BigQuery, Cloud SQL, or equivalent data warehouses.Proficient with Excel for ad hoc data analysis and performance tracking.Good understanding of 837 and 835 healthcare EDI standards and how they relate to claims and remittances.Preferred Skills:Familiarity with common denial codes and appeals workflows.Experience with healthcare KPI benchmarking tools or standards (e.g., HFMA MAP Keys).Background working in cloud environments (GCP, Azure, AWS) is a plus.Key Attributes:Strong analytical thinking and problem-solving abilities.Clear and effective communication skills, both written and verbal.Ability to work independently and collaboratively with clinical, billing, and operational teams.High attention to detail and passion for data quality and storytelling through dashboards.Soft SkillsHigh attention to detail and strong organizational skillsStrong written and verbal communication skillsSelf-starter with a proactive mindset and bias for executionComfortable working remotely and cross-functionally in a fast-paced startupWhy Join Gabeo.ai?Work on impactful data problems in a critical area of U.S. healthcareHelp shape real AI products being used by enterprise customersBe part of a lean, fast-moving, and outcome-driven teamGain meaningful equity and career growth in a venture-backed startupDiversity & InclusionGabeo.ai is an equal opportunity employer.We value diversity and are committed to creating an inclusive, unbiased environment where all candidates have a fair opportunity to thrive.