Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятный фокус на аналитике в здравоохранении, есть ответственность за решения на основе данных и участие в переходе на Microsoft Fabric, хотя описание содержит много требований к уровням, не относящихся напрямую к этой позиции.
Смешаны уровни
Современные технологии
Влияние на медицину
Мэтч & Сопровод
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Текст:
Hirify AI/Оригинал
TL;DR
Developer - Analytics Engineer - Level 2 (Microsoft Fabric): Building reporting, semantic models, data pipelines, dashboards, and analytics solutions for clinical, operational, quality, and patient-safety initiatives with an accent on SQL, healthcare data, and the transition to Microsoft Fabric. Focus on developing scalable analytics assets, translating complex healthcare data into actionable insights, and solving data quality, modeling, and query performance challenges.
Location: Durham, North Carolina, United States
Company
hirify.global provides healthcare services and develops enterprise technology solutions supporting clinical care, operations, quality, and patient safety.
What you will do
Partner with clinical, operational, and business stakeholders to define priorities and develop data-driven solutions.
Design, develop, validate, document, and maintain reports, dashboards, semantic models, and analytics solutions.
Develop SQL queries, data transformations, reusable data assets, and governed analytics solutions.
Support the transition to Microsoft Fabric through modern data pipelines, data models, semantic models, and Power BI solutions.
Translate complex healthcare data and analytical findings into clear insights for operational teams and senior leadership.
Participate in documentation, source control, peer review, testing, deployment, data quality, and ongoing solution support.
Requirements
Bachelor's degree in a related field or four years of equivalent technical experience.
For Level 2, two years of directly related experience is required.
Advanced knowledge of the assigned domain, including related data, workflows, tools, and semantic models.
Ability to independently understand business needs, translate requirements into technical and data requirements, and write accurate SQL queries.
Knowledge of SQL query performance tuning, complex cohort inclusion and exclusion criteria, data design, infrastructure, and data quality assurance.
Ability to manage multiple projects, participate in peer reviews, mentor team members on SQL, and complete assignments with minimal supervision.
Strong communication skills and ability to translate business and technical requirements into analytics solutions.
Epic certification or proficiency with Epic Clarity, Caboodle, Cogito, or other Epic data models.
Microsoft Fabric and Power BI experience, including semantic models, Lakehouse, Data Warehouse, Dataflows, or Pipelines.
Experience with dashboards, scorecards, reports, self-service analytics, Tableau, or similar BI platforms.
Experience with ETL/ELT processes, data pipelines, Git, GitLab, Azure DevOps, source control, peer review, or CI/CD deployment practices.
Prior Microsoft Fabric, GitLab, and CI/CD experience is preferred for Level 2.
Culture & Benefits
Work within a healthcare technology organization focused on compassionate care, innovation, patient outcomes, safety, and operational excellence.
Collaborate with multidisciplinary clinical, operational, business, analytics, and technical teams.
Follow DUHS, DHTS, and ACE policies and procedures applicable to the role.
Contribute to the Duke Analytics Community and other relevant professional forums.
Duke is an equal opportunity employer committed to diversity, inclusion, collaboration, innovation, creativity, and belonging.
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