
1001 - 5000 employees
⚕️ Healthcare Insurance
🤖 Artificial Intelligence
☁️ SaaS
💰 $10M Series A - Machinify on 2018-10
Healthcare Insurance • Artificial Intelligence • SaaS
Machinify is a healthcare-focused AI platform and services company that reshapes healthcare payments and payment integrity. Its AI operating system unifies claims, medical records, contracts, and policies, and uses foundation models and task-specific agents to automate and improve coding, payment accuracy, recoveries, and cost avoidance. Machinify serves health plans (including 18 of the top 20), supports insourced, hybrid, or fully-managed deployments, and emphasizes measurable outcomes — reporting 85+ customers, 270M member lives covered, and $6B+ in annual cost avoidance and recoveries.
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1001 - 5000 employees
⚕️ Healthcare Insurance
🤖 Artificial Intelligence
☁️ SaaS
💰 $10M Series A - Machinify on 2018-10
Healthcare Insurance • Artificial Intelligence • SaaS
Machinify is a healthcare-focused AI platform and services company that reshapes healthcare payments and payment integrity. Its AI operating system unifies claims, medical records, contracts, and policies, and uses foundation models and task-specific agents to automate and improve coding, payment accuracy, recoveries, and cost avoidance. Machinify serves health plans (including 18 of the top 20), supports insourced, hybrid, or fully-managed deployments, and emphasizes measurable outcomes — reporting 85+ customers, 270M member lives covered, and $6B+ in annual cost avoidance and recoveries.
• Perform detailed data quality audits to detect, troubleshoot, and resolve issues impacting accuracy and completeness. • Conduct in-depth analysis of data quality and integrity to identify and resolve issues. • Create and execute SQL queries to validate data transformations and support data analysis efforts. • Analyze and troubleshoot ETL processes and data architectures for performance and quality. • Develop, generate, and maintain client program reports, ensuring accuracy, timeliness, and alignment with client expectations and business objectives. • Perform detailed data analysis and reconciliation activities to ensure program integrity, including validating outputs against source data and expected results. • Track and analyze program performance over time, identifying variances, root causes, and trends to ensure accuracy and consistency of results. • Reconcile data across multiple sources (e.g., claims, eligibility, and reporting outputs) to ensure alignment and completeness. • Partner with internal teams to investigate discrepancies, implement corrections, and ensure accurate downstream reporting and client deliverables. • Develop, generate, and maintain recurring and ad hoc reports for both internal stakeholders and external clients, ensuring accuracy, clarity, and timeliness.
• Bachelor’s degree in business, Computer Science, Health Informatics, or a related field. • 3+ years of experience as a data analyst or business analyst working with large datasets. • 2+ years of hands-on experience with healthcare claims data (e.g., 837 EDI, medical billing, encounter data). • Experience within a healthcare-related field working with very large data sets of medical and pharmacy claims. • Advanced proficiency in SQL and familiarity working with Spark, Snowflake, DPE or similar big data frameworks. • Solid understanding of data modeling concepts and best practices for analytics. • Proven problem-solving skills and attention to detail in complex data environments. • Strong organizational skills and ability to manage multiple concurrent initiatives. • Excellent communication, time-management, and task prioritization skills. • Ability to build and maintain strong working relationships across the organization. • Self-starter with a strong sense of ownership and accountability.
• Top Medical/Dental/Vision offerings • FSA/HSA • Tuition reimbursement • Competitive salary, 401(k) with company match • Additional health and wellness benefits and perks • Flexible and trusting environment where you’ll feel empowered to do your best work
Apply Now🔥 18 minutes ago
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