Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль сочетает аналитику здравоохранения, работу с клиентами и инженерную работу с данными в продуктовой компании, но обязательное присутствие в офисе ограничивает гибкость.
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Staff Data Solutions Engineer (Healthcare Analytics): Designing analytics dashboards and operational data delivery solutions for healthcare and social care customers with an accent on data warehousing, healthcare analytics, and stakeholder collaboration. Focus on optimizing SQL and database performance, building reliable ETL and data models, resolving dashboard incidents, and applying AI and conversational analytics tools.
Location: On-site in Austin, Texas or Madison, Wisconsin; remote work is available on Fridays only. Limited travel may be required.
Company
hirify.global provides a social care platform connecting people with local, state, and national health, housing, food, and employment resources.
What you will do
Collaborate with clients, customer success teams, business stakeholders, and engineering teams to understand data needs.
Design analytics dashboards and operational data delivery solutions for diverse users.
Analyze and optimize relational database schemas, complex queries, and ETL data movement.
Assess data architecture from source to target, including capture, logging, transformation, warehousing, and delivery.
Investigate dashboard and report data incidents and identify opportunities for simplification and process improvement.
Apply current analytics, data modeling, AI, and conversational analytics practices.
Requirements
5+ years of relevant technical experience in data warehousing and healthcare analytics.
4+ years of dashboard development experience with tools such as Looker Studio, Tableau, or Power BI.
Strong SQL programming skills, including complex query development and database performance optimization.
Proficiency with MySQL and BigQuery.
Experience with data storytelling, presenting insights to stakeholders, and creating metrics and KPIs tied to business goals.
Experience with data modeling, ETL processes, and cloud data warehousing on GCP, Azure, or AWS.
Experience with Python for data manipulation, scripting, or automation.
Demonstrated daily use of LLMs and AI coding tools, with judgment to verify or reject their output.
Familiarity with building or supporting text-to-SQL or conversational analytics tools.
Strong problem-solving, communication, and customer-facing skills, including explaining technical concepts to non-technical audiences.
Nice to have
Additional healthcare analytics experience.
Culture & Benefits
In-office collaboration with remote work available on Fridays.
401(k), equity grants, competitive PTO, and 10 paid holidays.
Company-paid medical, dental, and vision coverage for employees.
Paid parental leave, telemedicine and counseling access, and paid volunteering time.
Leadership development training, a culture committee, book purchasing support, and office amenities including stocked kitchens and an Austin gym.
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