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Описание вакансии
Текст:
TL;DR
Data Analyst (Healthcare): Building scalable data models, analytics, visualizations, and internal data products for healthcare software with an accent on SQL, ETL, BI platforms, and operational decision-making. Focus on designing self-serve tooling, maintaining accurate reporting systems, and solving complex data challenges for engineering, product, and leadership teams.
Location: On-site in San Francisco, Denver, or New York City
Salary: $135,000–$180,000 USD annual base salary, plus potential equity and benefits
Company
Candid Health develops software for healthcare providers.
What you will do
- Perform data analysis and build visualizations for engineering, product, leadership, and other stakeholders.
- Deliver internal products, tooling, and operational workflows that improve team efficiency and self-service capabilities.
- Build robust, scalable data models and high-value data products for healthcare clients.
- Maintain BI, reporting, and visualization platforms to keep data accurate, accessible, and available.
- Use data insights to support business strategy and operational decision-making.
Requirements
- Bachelor’s degree in mathematics, science, engineering, library science, or another data-intensive field.
- 4+ years of experience working with data at scale, including analysis, ETL, and process automation.
- 3+ years of hands-on experience with data warehouses such as Snowflake, BigQuery, or Redshift.
- Strong SQL skills and experience working in complex data environments.
- Ability to understand how different users work with data and build appropriate insights and tools.
- Clear and concise written and verbal communication skills, including the ability to explain complex ideas simply.
Nice to have
- Experience or exposure to Google Cloud Platform, BigQuery, Metabase, Terraform, Python, or dbt.
Culture & Benefits
- Opportunity to work on software that supports healthcare providers.
- Compensation may include equity and employee benefits.
- Broad experience ranges are represented within roles, with minimal hierarchy and titles.
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