обновлено 7 часов назад
Data Analyst II (Python/R)
56 200 - 101 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst II (Python/R) (Healthcare Analytics): Analyzing health management programs, validating data, measuring outcomes, and building reports and predictive data models with an accent on healthcare reporting, data reconciliation, and trend analysis. Focus on interpreting business requirements, identifying data issues, updating core systems, and supporting stakeholders with SQL, Python, R, and reporting tools.
Location: Remote in Missouri, United States. Must be authorized to work in the U.S. without employment-based visa sponsorship.
Salary: $56,200–$101,000 per year
Company
connects people with healthcare and supports more accessible and effective care.
What you will do
- Analyze health management programs through data collection, validation, and outcome measurement.
- Perform data cleansing, reconciliation, trend analysis, and predictive data modeling.
- Create reports using Excel, Access, SQL, Business Objects, and core ODS/EDW databases.
- Gather and interpret business requirements, monitor data trends, and identify issues proactively.
- Execute data changes, update core systems, manage multiple timelines, and communicate risks.
- Produce reports for senior management and internal and external stakeholders while assisting with training for lower-level Data Analysts.
Requirements
- Bachelor’s degree in a related field or equivalent experience.
- 2+ years of statistical analysis or data analysis experience.
- Experience coding in R and/or Python with supporting SQL skills.
- Experience with IRS, CMS, HHSC, and HEDIS reporting.
- U.S. work authorization is required; employment-based visa sponsorship is not available now or in the future.
Culture & Benefits
- Remote, hybrid, field, and office work schedules are available depending on the role.
- Health insurance, 401(k), stock purchase plans, tuition reimbursement, paid time off, and holidays.
- Work focused on improving healthcare access and outcomes.
- Compensation may vary based on skills, experience, education, and other job-related factors.
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