The Role
Analyze payer and claims data to build ETL pipelines, analytical models, and dashboards; manage third-party data ingestion and quality; ensure compliance with HIPAA/HITECH; collaborate cross-functionally to deliver insights and automate data workflows.
Summary Generated by Built In
NEOLYTIX
Senior Associate – Revenue & Payer Analytics FUNCTION
Revenue & Payer AnalyticsEXPERIENCE
3–4 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, you’ll drive insights and support decision-making by analyzing healthcare payer data, building data pipelines, and managing analytics projects end-to-end. You’ll 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.
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.
Senior Associate – Revenue & Payer Analytics FUNCTION
Revenue & Payer AnalyticsEXPERIENCE
3–4 YearsLOCATION
Gurugram (Onsite)SHIFT
UK / US overlap
About the Role
As a Senior Associate, you’ll drive insights and support decision-making by analyzing healthcare payer data, building data pipelines, and managing analytics projects end-to-end. You’ll 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 Responsibilities
Analytics & Reporting- Analyze 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.
- Ingest 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.
- Develop, 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.
- Ensure 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.
- Stay 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 Bring
Must-Have- Bachelor’s degree in Health Informatics, Data Science, Computer Science, Statistics, or a related field.
- 3–4 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.
- Hands-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.
- Advanced 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 WorkLeverage 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.
Skills Required
- Bachelor's degree in Health Informatics, Data Science, Computer Science, Statistics, or related field.
- 3-4 years of experience in healthcare analytics, payer operations, or 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 and cross-functional collaboration abilities.
- Hands-on experience or strong familiarity with healthcare transparency datasets (MRF, All Claims) and third-party provider/facility data (e.g., Definitive Healthcare).
- Comfort with statistical analysis and predictive modeling using Python or R.
- Advanced degree (MBA, MPH, MS in Analytics) or relevant certifications (e.g., Azure Data Engineer).
- Familiarity with DataOps or DevOps practices to automate and streamline data pipelines.
- Exposure to data governance or data-quality initiatives.
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The Company
What We Do
Optimizing Healthcare Organizations through Revenue & Cost Transformation Neolytix is a Management Service Organization (MSO) serving independent healthcare providers. Neolytix has been working with healthcare practices for the last 11 years and providing a helping hand for busy medical practitioners. Our services have helped increase monthly collections, create efficient processes for office administration, improved patient experience and free up physician time for providing better care. We provide shared services solutions for Medical Offices supporting Revenue Cycle Management, Credentialing, Virtual Assistants, IT Support, Practice Marketing with guaranteed impact on the overall bottom line. That means better service for a lower cost. #MedicalBilling #RPM #MSO #medicalbilling #remotepatientmonitoring #valuebasedcare #revenuecyclemanagement #Healthcareproviders #digitalhealth
