Senior Associate Revenue & Payer Analytics

NEOLYTIX Senior Associate Revenue & Payer Analytics FUNCTION Revenue & Payer AnalyticsEXPERIENCE 34 YearsLOCATION Gurugram (Onsite)SHIFT UK / US overlap About the RoleNeolytix is a US-focused healthcare managed services organization. Our Revenue & Payer Analytics team turns complex payer, claims, and price-transparency data into insight that drives cost, quality, and utilization decisions for our clients. As a Senior Associate, youll drive insights and support decision-making by analyzing healthcare payer data, building data pipelines, and managing analytics projects end-to-end. Youll collaborate across Operations, Product, IT, and external partners to ensure robust data integration, reporting, and advanced analytics bringing strong technical skills, payer-domain knowledge, and the ability to manage third-party data sources effectively.Key ResponsibilitiesAnalytics & ReportingAnalyze CPT-level data to identify trends, patterns, and insights relevant to healthcare services and payer rates.Build and maintain analytical models for cost, quality, and utilization metrics using Python, R, or SQL-based BI tools.Develop reports that communicate findings to stakeholders across the organization.3rd-Party Data ManagementIngest and preprocess data from multiple third-party sources and transform it into unified structures for analytics and reporting.Ensure compliance with transparency requirements and enable downstream analytics.Design automated workflows to update and validate data, working closely with external vendors and technical teams.Apply and maintain best practices for data-quality checks (e.g., encounter completeness, claim-level validations) and troubleshooting.Data Integration & ETL PipelinesDevelop, maintain, and optimize end-to-end data pipelines ingestion, transformation, and loading of internal and external sources.Collaborate with Operations to design scalable, secure, and high-performing data workflows.Implement best practices in data governance, version control, data security, and documentation.Quality Assurance & ComplianceEnsure data quality through validation checks, audits, and anomaly-detection frameworks.Maintain compliance with HIPAA, HITECH, and other relevant healthcare regulations and data-privacy requirements.Participate in internal and external audits of data processes.Continuous Improvement & CollaborationStay current with industry trends, analytics tools, and regulatory changes affecting payer analytics.Identify opportunities to enhance data processes and adopt new tools and technologies.Share knowledge and best practices with the team across analytics, reporting, and pipeline development.What You BringMust-HaveBachelors degree in Health Informatics, Data Science, Computer Science, Statistics, or a related field.34 years of experience in healthcare analytics, payer operations, or a related field.Proficiency building data pipelines using SQL, Python, R, or ETL platforms (e.g., Talend, Airflow, Data Factory).Experience with relational databases (SQL Server, PostgreSQL) and at least one cloud environment (AWS, Azure, or GCP).Familiarity with BI tools (Tableau, Power BI, Looker) for dashboard creation and data storytelling.Strong understanding of claims data structures (UB-04, CMS-1500), coding systems (ICD, CPT, HCPCS), and payer processes.Knowledge of healthcare regulations (HIPAA, HITECH, transparency rules) and their impact on data sharing and management.Ability to synthesize large datasets, pinpoint issues, and recommend data-driven solutions.Excellent communication and presentation skills, with strong project-management, organizational, and cross-functional collaboration abilities.Strong PreferenceHands-on experience (or strong familiarity) with healthcare transparency datasets MRF, All Claims and provider/facility-level data from third-party sources like Definitive Healthcare.Comfort with statistical analysis and predictive modeling using Python or R.Nice-to-HaveAdvanced degree (MBA, MPH, MS in Analytics, or similar).Experience with healthcare cost-transparency regulations and handling MRF data specifically for compliance.Familiarity with DataOps or DevOps practices to automate and streamline data pipelines.Certification in BI or data engineering (e.g., Microsoft Certified: Azure Data Engineer).Exposure to data governance or data-quality initiatives.Why Join Neolytix Impactful Work Leverage payer data to reduce costs, improve quality, and shape population-health strategies.Innovation Work on advanced analytics projects using state-of-the-art tools and platforms.Growth Opportunity Join an expanding analytics team where you can take on ownership and deepen your healthcare-data expertise.Supportive Culture An environment that values open communication, knowledge sharing, and continuous learning. NEOLYTIX Senior Associate Revenue & Payer Analytics FUNCTION Revenue & Payer AnalyticsEXPERIENCE 34 YearsLOCATION Gurugram (Onsite)SHIFT UK / US overlap About the RoleNeolytix i