Data Analyst Healthcare

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. Youll implement monitoring for automated system health checks. Youll build our CI pipeline, and train and guide the team. Role: Data Analyst Healthcare Location: All Persistent Locations Experience: 7 to 15 years Job Type: Full Time Employment What You'll Do: Healthcare Data Analysis & Reporting Analyze large‑scale US healthcare datasets including claims, eligibility, provider, utilization, and quality data Write and optimize complex SQL queries to extract, validate, and analyze healthcare data from relational databases Perform data validation, reconciliation, and transformation to support accurate reporting for business and regulatory needs Healthcare Data Modeling & Integration Work with Snowflake, MySQL, and related platforms to support healthcare data models, marts, and analytics layers Collaborate 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 efficiency Process Mapping & Documentation Create process flows, data lineage diagrams, and system architecture visuals using Microsoft Visio or draw.io for healthcare data workflows Document healthcare business rules, data definitions, metrics logic, and reporting methodologies Support standardization of metrics aligned with healthcare programs and reporting frameworks Stakeholder Collaboration & Communication Partner with business stakeholders including Healthcare Operations, Finance, Clinical, Quality, and Compliance teams to understand reporting needs Translate complex healthcare data into clear, actionable insights for technical and non‑technical audiences Present findings, trends, and recommendations to leadership and cross‑functional teams. Expertise You'll Bring: Bachelor’s degree in computer science, Information Systems, Statistics, Healthcare Analytics, or a related field 7+ years Hands‑on experience with US Healthcare analytics, including benefits, claims and eligibility data Strong proficiency in SQL for querying and analyzing healthcare datasets Familiarity with Snowflake, MySQL, and modern data warehousing concepts Experience creating healthcare process and data flow documentation using Microsoft Visio or equivalent tools Strong analytical, problem‑solving, and data validation skills Excellent communication skills with the ability to work across technical and business teams Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Values-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 employment Let's unleash your full potential at Persistent - persistent.com/careers "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."