Neolytix

Senior Associate – Revenue & Payer Analytics

Gurugram, Haryana, India - Full Time

NEOLYTIX
Senior Associate – Revenue & Payer Analytics
 
FUNCTION
Revenue & Payer Analytics		EXPERIENCE
3–4 Years		LOCATION
Gurugram (Onsite)		SHIFT
UK / US overlap

About the Role
Neolytix 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.
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.
3rd-Party Data Management
  • 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.
Data Integration & ETL Pipelines
  • 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.
Quality Assurance & Compliance
  • 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.
Continuous Improvement & Collaboration
  • 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.
Strong Preference
  • 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.
Nice-to-Have
  • 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 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.
 
Apply: Senior Associate – Revenue & Payer Analytics
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Do you have hands-on experience working with US healthcare claims data — claims structures (UB-04 / CMS-1500) and coding systems (ICD / CPT / HCPCS)?*
Have you personally built or maintained data pipelines / ETL (ingestion → transformation → loading) using SQL and Python or R — not just pulled data into dashboards?*
Have you worked with a relational database (SQL Server, PostgreSQL, or similar) AND at least one cloud environment (AWS, Azure, or GCP)?*
Do you have 3–4 years of experience in healthcare analytics or payer operations (US healthcare)?*
Can you commit to working fully onsite in Gurugram on a UK shift that overlaps US hours?*
Have you worked directly with relational databases (SQL Server, PostgreSQL, or similar) and at least one cloud environment (AWS, Azure, or GCP)?*
Have you ingested and integrated data from multiple third-party / external sources and transformed it into a unified structure for analytics or reporting?*
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