Senior Associate – Revenue & Payer Analytics

Neolytix; Gurugram District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Neolytix is seeking a Senior Associate for Revenue & Payer Analytics in Gurugram to drive insights from payer data, build data pipelines, and manage analytics projects end-to-end. You will collaborate with Operations, Product, IT, and external partners to ensure robust data integration, reporting, and advanced analytics.

The role requires 3–4 years in healthcare analytics with strong SQL, Python/R skills, and experience with BI tools.

Qualifications

• Bachelor's degree in a relevant field.
• 3–4 years of healthcare analytics or payer experience.
• Proficiency in SQL, Python, R, or ETL platforms.
• Experience with relational DBs and at least one cloud env (AWS/Azure/GCP).
• Familiarity with BI tools for dashboarding and storytelling.
• Knowledge of healthcare regulations (HIPAA, HITECH) and data sharing.

Responsibilities

• Analyze payer data to identify trends, patterns, and insights.
• Build and maintain data pipelines and analytics models.
• Develop reports communicating findings to stakeholders.
• Ingest and preprocess data from third-party sources and ensure compliance.
• Design automated workflows and ensure data quality and governance.

Skills

SQL

Python

R

ETL

BI tools

HIPAA compliance

Communication

Project management

Payer analytics

Education

Bachelor's degree in Health Informatics, Data Science, CS, Statistics

Tools

Talend

Airflow

Data Factory

SQL Server

PostgreSQL

Tableau

Power BI

Looker

Job description

NEOLYTIX

FUNCTION

Revenue & Payer AnalyticsEXPERIENCE

LOCATION

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.

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.