- Location
- Gurugram, Haryana
- Workplace
- Onsite
- Type
- Full-time
- Department
- Sales
- Seniority
- Entry
- Experience
- 3+ years
- Education
- Master
- Closing date
- Today
- Source
- ApplyToJob
Description
| NEOLYTIX Senior Associate – Revenue & Payer Analytics |
| FUNCTION Revenue & Payer Analytics | EXPERIENCE 3–4 Years | LOCATION 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 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. |
Skills
PythonAWSAzureGCPSQLPostgreSQLSQL ServerAirflowData ScienceData EngineeringETLTableauPower BILookerDevOpsComplianceHIPAAR
