Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$84к-126к/год
$120к$140кмедиана$170к
По похожим ролям (48) ~ $140к/год
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Задачи четко очерчены вокруг аналитической инженерии: SQL, dbt и работа с бизнес-командами, также предусмотрено профессиональное развитие. Обязательные поездки и требование проживания и права на работу в США ограничивают доступность вакансии.
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Поездки к клиентамПонятные задачиМедицинская аналитикаПоддержка развития
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Analytics Engineer (Healthcare): Building analytics-ready data models, semantic-layer transformations, and trusted metrics for healthcare revenue cycle reporting and decision-making with an accent on SQL, dbt, dimensional modeling, and business logic. Focus on designing scalable data marts, standardizing metric definitions, improving data quality, and enabling reliable self-service BI.
Location: Remote nationwide within the United States; must reside and be authorized to work in the United States, with travel to and onsite work at client, temporary, or corporate locations as business needs require.
Salary: $84,000–$126,000 per year, based on experience.
Company
hirify.global provides technology-enabled revenue cycle management solutions and point solutions for hospitals and affiliated physician groups across the United States.
What you will do
Design, build, and maintain analytics-ready facts, dimensions, data marts, and other data models.
Develop SQL-based transformations in the semantic and transformation layers, primarily using dbt.
Define, document, and maintain consistent metrics, business logic, and calculations across dashboards, reports, and analyses.
Partner with product, operations, finance, and business stakeholders to translate requirements into data models and metrics.
Optimize models for clarity, usability, performance, discoverability, and self-service BI consumption.
Implement analytics-layer testing and data quality checks while contributing to engineering standards, documentation, and source-data readiness.
Requirements
Bachelor’s degree in Computer Science, Data Analytics, Statistics, Mathematics, or a related field, or equivalent experience.
3+ years of experience in analytics engineering, analytics, business intelligence, or a related role.
Advanced SQL expertise with experience building complex, maintainable transformations.
Hands-on dbt experience.
Strong understanding of dimensional modeling, metrics design, and semantic-layer concepts.
Experience supporting BI tools and downstream use cases including dashboards, reporting, and ad hoc analysis.
Ability to communicate clearly with technical and non-technical stakeholders.
Experience in healthcare-related operations and understanding of industry processes and terminology.
Must reside and be authorized to work within the United States.
Nice to have
Product or application engineering experience, with an understanding of how data is used in product and engineering applications.
Culture & Benefits
Remote work with onsite travel required at client, temporary, or corporate locations when business needs require.
Benefits include healthcare, time off, retirement, and well-being programs.
Professional development includes a relevant professional certification and tuition reimbursement.
Quarterly and annual incentive programs are available to employees.
Culture emphasizes collaboration, growth, innovation, work-life flexibility, and purpose.
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