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У роли понятный уровень и фокус на аналитике, есть значимая медицинская задача и востребованные инструменты, хотя баланс между аналитикой и машинным обучением описан не до конца.
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Разный акцентАктуальные инструментыВлияние на здоровьеНаставничество
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Analyst (Healthcare): Analyzing complex datasets and building data models, visualizations, and automated reporting to improve healthcare business decisions with an accent on Looker, SQL, statistical analysis, and machine learning. Focus on translating data into actionable recommendations, optimizing data pipelines, and mentoring junior analysts.
Location: Remote, US; travel required 4–5 times a year.
Company
hirify.global is a digital health company delivering behavior-changing content through a digital network in 30,000 physician offices to improve healthcare decisions and outcomes.
What you will do
Analyze large and complex datasets to identify trends, patterns, and insights that support business decisions.
Communicate findings to stakeholders primarily through Looker, with an emphasis on automated rather than manually created information.
Partner with business leaders to understand objectives and provide actionable recommendations.
Progress from descriptive reporting toward proactive analysis that identifies opportunities for organizational improvement.
Design and implement data models while maintaining data integrity, accuracy, and consistency across multiple sources.
Collaborate with IT, engineering, product, and business stakeholders to optimize data collection and pipeline processes; mentor junior analysts and stay current with analytics technologies and practices.
Requirements
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related quantitative field.
5+ years of experience in analytics, data management, business intelligence, or a related field.
Proficiency in SQL for querying and managing large datasets.
Experience with data visualization tools such as Looker, Tableau, or Power BI.
Strong understanding of data modeling, statistical analysis, and data visualization.
Proficiency in Python or R for data analysis and automation; Python is preferred.
Experience with cloud-based data platforms such as Snowflake, GCP, AWS, or Azure.
Excellent communication and presentation skills, including the ability to explain complex data concepts to non-technical stakeholders.
Strong data storytelling, problem-solving, time management, attention to detail, and results-oriented skills.
Nice to have
Master’s degree.
Culture & Benefits
Full-time position with flexible time off.
Hybrid work options, despite the role being listed as remote in the US.
Mental and emotional wellness resources.
401(k) plan and other benefits for full-time teammates.
Supportive and purpose-driven work focused on improving patient health outcomes.
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