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Data Analyst-Healthcare

Persistent Systems · Pune City, Maharashtra, India

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About Position:We are looking for an experienced Data Analyst having strong knowledge on MS SQL, Healthcare Data Modeling & Integration, Statistics. You will help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. You’ll build our CI pipeline, and train and guide the team.Role: Data Analyst-HealthcareLocation: All Persistent LocationExperience: 6 to 10 YearsJob Type: Full-Time EmploymentWhat You'll Do:Healthcare Data Analysis & ReportingAnalyze large‑scale US healthcare datasets including claims, eligibility, provider, utilization, and quality dataWrite and optimize complex SQL queries to extract, validate, and analyze healthcare data from relational databasesPerform data validation, reconciliation, and transformation to support accurate reporting for business and regulatory needsHealthcare Data Modeling & IntegrationWork with Snowflake, MySQL, and related platforms to support healthcare data models, marts, and analytics layersCollaborate with data engineering teams to ensure reliable ingestion and integration of data from source systems (e.g., claims processing, provider systems, eligibility feeds)Support analytics initiatives related to value‑based care, population health, quality improvement, and operational efficiencyProcess Mapping & DocumentationCreate process flows, data lineage diagrams, and system architecture visuals using Microsoft Visio or draw.io for healthcare data workflowsDocument healthcare business rules, data definitions, metrics logic, and reporting methodologiesSupport standardization of metrics aligned with healthcare programs and reporting frameworksStakeholder Collaboration & CommunicationPartner with business stakeholders including Healthcare Operations, Finance, Clinical, Quality, and Compliance teams to understand reporting needsTranslate complex healthcare data into clear, actionable insights for technical and non‑technical audiencesPresent findings, trends, and recommendations to leadership and cross‑functional teamsExpertise You'll Bring:Bachelor’s degree in computer science, Information Systems, Statistics, Healthcare Analytics, or a related field7+ years Hands‑on experience with US Healthcare analytics, including benefits, claims and eligibility dataStrong proficiency in SQL for querying and analyzing healthcare datasetsFamiliarity with Snowflake, MySQL, and modern data warehousing conceptsExperience creating healthcare process and data flow documentation using Microsoft Visio or equivalent toolsStrong analytical, problem‑solving, and data validation skillsExcellent communication skills with the ability to work across technical and business teamsBenefits:Competitive salary and benefits packageCulture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certificationsOpportunity to work with cutting-edge technologiesEmployee engagement initiatives such as project parties, flexible work hours, and Long Service awardsAnnual health check-upsInsurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parentsValues-Driven, People-Centric & Inclusive Work Environment:Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.We support hybrid work and flexible hours to fit diverse lifestyles.Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employmentLet's unleash your full potential at Persistent - persistent.com/careers"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."