3 дня назад
Business Intelligence Engineer 2 (Healthcare)
66 800 - 91 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Business Intelligence Engineer 2 (Healthcare): Building and maintaining clinical data products, automated pipelines, and scalable data enablement solutions for care management and value-based operations with an accent on data integration, automation, and healthcare analytics. Focus on investigating complex datasets, performing root cause analysis, and creating a single source of truth for clinical, operational, and financial decision-making.
Location: Remote nationwide in the United States; occasional travel to offices may be required. A dedicated workspace and reliable internet service with at least 25 Mbps download and 10 Mbps upload are required.
Salary: $66,800–$91,100 per year, plus eligibility for a bonus incentive plan.
Company
is a U.S. healthcare company providing insurance and healthcare services through and CenterWell.
What you will do
- Maintain key datasets, data products, pipelines, and automation supporting care management and clinical programs.
- Investigate and analyze multiple data sources and combine them into a single source of truth.
- Build scalable automated pipelines and data enablement solutions using SQL, Python or PySpark, SAS, and Databricks.
- Serve as a subject matter expert for partner teams using and interpreting enterprise data.
- Assess complex datasets and perform root cause analysis.
- Support decision-makers in evaluating the clinical, operational, and financial impact of healthcare programs.
Requirements
- Bachelor’s degree.
- Less than five years of technical experience in data analysis and/or data engineering.
- At least one year of experience with SQL or SAS.
- At least one year of experience with Python or PySpark.
- At least one year of experience with Databricks and automated pipeline development.
- Comprehensive knowledge of Microsoft Office applications and a strong ability to assess complex data.
Nice to have
- Advanced degree in mathematics, economics, finance, statistics, computer science, engineering, or a related quantitative field.
- Ability to use data to drive business outcomes and decisions.
Culture & Benefits
- Full-time schedule of 40 hours per week.
- Remote work with occasional travel for training or meetings.
- Medical, dental, and vision coverage.
- 401(k), paid time off, company and personal holidays, and paid parental and caregiver leave.
- Short- and long-term disability coverage, life insurance, and additional wellness benefits.
- Work visa sponsorship is not available.
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