Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude. About the OpportunityJoin our Data Engineering team as a Sr. Data Analyst and help transform complex healthcare claims data into powerful insights that shape business strategy, drive clinical decisions, and support ML and analytics initiatives. You’ll architect data mappings, ensure data integrity, and serve as the go-to expert on claims data—bridging the gap between raw data and actionable outcomes.What You’ll Do<ul><li>Design and maintain robust data transformations and mappings to convert raw medical claims into standardized canonical models.</li><li>Perform detailed data quality audits to detect, troubleshoot, and resolve issues impacting accuracy and completeness.</li><li>Write and optimize Spark SQL queries to validate data pipelines and support ongoing analytics.</li><li>Document data transformation logic and lineage to ensure transparency and reusability.</li><li>Collaborate cross-functionally with business stakeholders to translate data needs into technical specs.</li><li>Support onboarding of new client data feeds, ensuring smooth integration with minimal disruption.</li><li>Partner with data engineers to build and scale data pipelines, improving performance and reliability.</li><li>Act as a subject matter expert for healthcare claims data—advising on risk, trends, and business impact.</li><li>Work closely with data scientists to enable advanced analytics, ML models, and reporting use cases.</li><li>Troubleshoot ETL workflows and performance issues, driving continuous improvement in data architecture.</li></ul>What You’ll Bring<ul><li>Bachelor’s degree in Business, Computer Science, Health Informatics, or a related field.</li><li>3+ years of experience as a data analyst or business analyst working with large datasets.</li><li>2+ years of hands-on experience with healthcare claims data (e.g., 837 EDI, medical billing, encounter data).</li><li>Advanced proficiency in SQL and familiarity working with Spark or similar big data framework will be bonus.</li><li>Solid understanding of data modeling concepts and best practices for analytics.</li><li>Proven problem-solving skills and attention to detail in complex data environments.</li><li>Strong organizational skills and ability to manage multiple concurrent initiatives.</li><li>Excellent written and verbal communication skills, especially when explaining technical concepts to non-technical stakeholders (e.g., clinicians, account managers, data scientists).</li><li>Self-starter with a strong sense of ownership and accountability.</li></ul>Equal Employment Opportunity at MachinifyMachinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. See our Candidate Privacy Notice at: <a target="_blank" href="https://www.machinify.com/candidate-privacy-notice/">https://www.machinify.com/candidate-privacy-notice/</a>