[Hiring] Healthcare Data Analyst / Algorithm Developer @RADcube - A NLogix Company

Role Description We are seeking a detail-oriented Healthcare Data Analyst / Algorithm Developer to support healthcare data analysis, coding logic development, and program integrity activities for medical coding, medical record review, and billing compliance functions. This role is responsible for: Analyzing claims and encounter data. Developing and refining data-driven algorithms and review logic. Identifying coding and billing patterns. Producing actionable insights to support clinical, operational, and financial decision-making. The ideal candidate brings strong SQL and data analysis skills, a solid understanding of healthcare reimbursement data, and working knowledge of CPT, HCPCS, and ICD-10 coding concepts. This individual will work closely with coding, clinical, and audit teams to: Translate business rules and policy requirements into queries, logic models, audit targeting methodologies, dashboards, and analytic outputs. Exhibit strong analytical thinking, attention to detail, and the ability to interpret healthcare data in support of audit readiness, payment integrity, and compliance monitoring. Qualifications Bachelor’s degree in data analytics, health information management, informatics, public health, healthcare administration, statistics, computer science, or a related field preferred. At least 2 years of experience in healthcare data analysis, claims analysis, payment integrity, program integrity, revenue cycle analytics, or related work preferred. Strong experience with SQL required, including writing complex queries, joining large datasets, aggregating results, and validating outputs. Working knowledge of medical coding concepts, including CPT, HCPCS, and ICD-10, strongly preferred. Experience working with healthcare claims or encounter data required; Medicaid experience strongly preferred. Familiarity with healthcare billing, reimbursement, documentation review, audit support, or compliance monitoring preferred. Experience developing logic models, analytic rules, dashboards, or automated reporting solutions preferred. Proficiency in Microsoft Excel required; experience with data visualization and reporting tools preferred. Strong analytical, critical thinking, problem-solving, and organizational skills. Ability to communicate technical findings clearly to non-technical audiences. Strong attention to detail and ability to manage multiple datasets, priorities, and deadlines. Ability to work independently and collaboratively in a fast-paced environment. Requirements Ability to translate complex healthcare policy and coding requirements into clear analytic logic. Strong understanding of claims structures, provider billing behavior, and reimbursement data relationships. Experience identifying outliers, trend shifts, and risk indicators through targeted data analysis. Ability to prepare concise, decision-ready summaries of findings for operational and leadership audiences. Comfort working in an environment that combines data analytics, coding review, audit support, and compliance monitoring. Experience supporting initiatives related to payment integrity, fraud waste and abuse detection, utilization review, or billing compliance is strongly preferred. Company Description