Healthix
Healthix
51 – 200 Xodimlar
KorxonaSog‘liqni saqlash
Healthix operates a public health information exchange serving New York City, Long Island, and the wider downstate region. The organization brings clinical information together from more than 9,000 healthcare facilities, covering over 21 million patients, and helps providers connect records across electronic health record systems. Its services include a research data exchange, patient data access, consent management, training, and compliance support. Healthix also contributes to community and policy initiatives and convenes healthcare audiences through conferences and webinars. The organization holds HITRUST r2 certification.

Healthcare Data Analyst – Healthix, New York Hybrid

Improve healthcare data pipelines, quality, and reporting at Healthix, New York’s largest public health information exchange. Help build scalable analytics and integrated healthcare data infrastructure.

Tavsif

  • Improve data architecture and pipelines to strengthen data flow and collection.
  • Collaborate with software developers, database architects, and analysts on data initiatives and dependable delivery.
  • Meet data needs across teams, systems, and products.
  • Update Healthix’s data architecture to support next-generation products and capabilities.
  • Build and maintain scalable pipelines and reporting solutions using Databricks, MS SQL Server, and InterSystems HealthShare.
  • Improve data models and access for business intelligence.
  • Set up monitoring to protect data quality, accuracy, and availability.
  • Create queries and reports that support data-informed decisions.
  • Run unit and data validation tests, document work, troubleshoot issues, and support feasibility assessments and health outcome evaluations.
  • Provide reporting and project support across the organization.
  • Maintain reliable, accurate, complete, and compliant reporting.
  • Support development, ETL, and upkeep of data assets and models; design integrations and data quality frameworks.
  • Assess open-source and vendor data lineage tools and help plan data platform architecture.
  • Help develop an integrated healthcare data warehouse.
  • Work with the data architect on warehouse design, ETL, validation, bounds checking, and database tuning.
  • Contribute to data governance and quality, data models and queries, multidimensional query and index tuning, monitoring, disaster recovery, backups, automated testing, schema migration, and continuous deployment.

Talablar

  • Bring at least five years of experience in a data analyst role.
  • Hold a graduate degree in computer science, statistics, healthcare informatics, informatics, information systems, or a related field.
  • IBM Certified Data Engineer or Google Certified Professional certification is preferred.
  • Have healthcare data experience, including HL7, CCDAs, MS SQL Server, Databricks, Tableau, InterSystems HealthShare, and Cache databases.
  • Bring advanced SQL knowledge, relational database experience, query-writing skills, and familiarity with different databases.
  • Know database design principles, including relationships, normalization, structures, indexes, and views, and be able to analyze database requirements.
  • Have experience building and optimizing big data pipelines, architectures, and datasets.
  • Apply strong analytical skills to root cause analysis of data and processes.
  • Have experience developing processes for data transformation, structures, metadata, dependencies, and workload management.
  • Understand message queuing, stream processing, and scalable big data stores.
  • Be proficient with big data tools such as Hadoop, Spark, and Kafka.
  • Have experience with relational SQL and NoSQL databases.
  • Bring strong programming skills in Python, Java, C++, and Scala.
  • Be able to design end-to-end ETL pipelines.
  • Have experience with AWS services and business intelligence tools such as Tableau.
  • Bring strong quantitative, analytical, process development, facilitation, and organizational skills.
  • Communicate clearly in documentation and conversation, including technical concepts for technical and non-technical audiences.

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