Talent.com
This job offer is not available in your country.
Data Science Engineer / Healthcare Data Analyst

Data Science Engineer / Healthcare Data Analyst

Zelishyderabad, India
15 hours ago
Job description

Position Overview

Data Analyst with deep experience in the US Healthcare industry with the skills around ML

  • Zelis is a leading payments company in healthcare, guiding, pricing, explaining, and paying for care on behalf of insurers and their members.
  • We align the interests of payers, providers, and consumers to deliver a better financial experience and more affordable, transparent care for all.
  • Partnering with 700+ payers, supporting 4 million+ providers and 100 million members across the healthcare industry.

Zelis Data Intelligence (ZDI) is a centralized data team that partners across Zelis business units to unlock the value of data through intelligence and AI solutions. Our mission is to transform data into a strategic and competitive asset by fostering collaboration and innovation.

  • Enable the democratization and productization of data assets to drive insights and decision-making.
  • Develop new data and product capabilities through advanced analytics and AI-driven solutions.
  • Collaborate closely with business units and enterprise functions to maximize the impact of data.
  • Leverage intelligence solutions to unlock efficiency, transparency, and value across the organization.

    • Key Responsibilities

  • Conduct comprehensive data analysis using statistical and exploratory methods to uncover patterns and insights that drive data-driven decision-making in the US healthcare domain.
  • Work with large datasets, including healthcare business unit (BU)-specific data such as claims, eligibility, provider networks, patient demographics, payments, and utilization trends.
  • Leverage knowledge of healthcare industry metrics (e.g., HEDIS, CMS Star Ratings, risk adjustment models, and revenue cycle data) to optimize analytics strategies.
  • Collaborate with data science and engineering teams to ensure data quality, availability, and reliability for AI / ML-driven healthcare analytics solutions.
  • Design and maintain data pipelines for efficient ingestion, transformation, and storage of claims, electronic health records (EHR), HL7 / FHIR data, and real-world evidence (RWE).
  • Ensure compliance with HIPAA, PHI, and other regulatory requirements when handling healthcare datasets.
  • Develop and maintain dashboards and reports that translate complex healthcare data into actionable insights for business stakeholders.
  • Use visualization tools such as Streamlit over Snowflake, Power BI, or similar platforms to represent key healthcare metrics, trends, and performance indicators.
  • Apply expertise in healthcare cost, quality, and operational performance analytics to deliver meaningful insights.
  • Work closely with cross-functional teams, including data science, engineering, API development, and healthcare operations, to understand data needs and deliver tailored solutions.
  • Partner with healthcare payers, providers, and revenue cycle management teams to enhance data quality and ensure alignment with industry standards.
  • Actively engage with Data Science, Data Engineering, and Business Units to enhance process understanding and ensure data accuracy for regulatory and business reporting.
  • Maintain a proactive mindset in exploring new analytical techniques, regulatory changes, and healthcare industry trends.
  • Engage with industry experts, attend relevant healthcare and data science conferences, and contribute to continuous learning within the team.

    • Qualifications

  • 5-8 years of hands-on experience in data analysis, preferably within the US healthcare domain, with exposure to payer, provider, claims, and financial data analytics.
  • Strong proficiency in SQL and Python, including libraries such as pandas for data manipulation and analysis.
  • Experience with healthcare data visualization and storytelling using tools such as Streamlit, Snowflake, Power BI, Tableau, or similar.
  • Familiarity with ETL pipelines, data warehousing, and cloud platforms (AWS, Azure, GCP) for healthcare data processing.
  • Deep understanding of US healthcare data, including claims, payments, eligibility, patient encounters, and provider networks.
  • Strong knowledge of healthcare standards and regulations (HIPAA, PHI, HL7, FHIR, CMS, Medicare / Medicaid reporting, NCQA, HEDIS, and risk adjustment models).
  • Experience in revenue cycle management (RCM), medical coding (ICD, CPT, DRG), and healthcare cost / utilization analytics is a plus.
  • Ability to analyze complex healthcare datasets and derive meaningful insights that impact operational efficiency, patient outcomes, and cost optimization.
  • Experience working with predictive modeling and AI-driven healthcare analytics is an advantage.
  • Excellent communication and stakeholder management skills, with the ability to translate technical findings into business insights.
  • Strong collaboration skills to work effectively with healthcare business teams, IT, and data science professionals.
  • A curious mindset with a willingness to explore new challenges and drive innovation in healthcare analytics.
    • Create a job alert for this search

    Data Science Engineer • hyderabad, India