Data Analyst, Programs and EvaluationCure International Children'S Hospitals • United States
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Data Analyst, Programs and Evaluation
Cure International Children'S Hospitals
- United States
- United States
À propos
Implement and manage ongoing data quality assurance checks. This includes monitoring for data anomalies, flagging data quality issues (e.g., missing values, inconsistencies), and executing cleaning processes. Pipeline Development (ETL):
Support maintenance of automated data extraction, transformation, and loading (ETL) scripts using SQL and R/Python to move data reliably from source hospital systems (like EMRs) into the central data warehouse. Database Querying & Management:
Write, optimize, and maintain complex, production-grade SQL for intricate data extraction, cleaning, and aggregation. Program Monitoring:
Support the development of high-quality reports for hospitals including monthly data quality checks, key performance indicator monitoring, and visualizations for clinical efficiency and quality. Outcome Research:
Support the MELD director in analysis to prove CURE’s outcomes, including survey research and psychometric evaluations of spiritual and shame scales. Analytical Execution:
Execute and automate the statistical analyses and data manipulation tasks defined by the Network MELD Director, using R for statistical computing and data preparation. Data Support:
Build, maintain, and troubleshoot the underlying data queries and views that feed interactive reports and dashboards (e.g., in Metabase). Data Use & Training:
Supports data collectors and other team members in understanding, interpreting, and leveraging data.
OTHER DUTIES Please note this position description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the co-worker for this position. Duties, responsibilities and activities may change at any time with or without notice. Co-worker must perform other tasks, duties, and projects as assigned. PRIMARY QUALIFICATIONS: Education
: Bachelor's degree in Statistics, Data Science, Informatics, Computer Science, or a closely related quantitative field. Experience
: Minimum of 3 years of hands-on professional experience analyzing and managing large, complex relational datasets in a technical capacity. Health Data
: Required experience working with healthcare and hospital data (e.g. electronic health records, patient registries, operational metrics). Technical Coding Proficiencies
: Expert proficiency in SQL for complex querying, view creation, and data manipulation. Expert proficiency in R for statistical computing, data wrangling, and reporting. Proven experience and proficiency in Python coding. Data visualization:
Experience with data visualization software including Metabase, Tableau, or Power BI. Work Style
: Demonstrated eagerness to learn, self-starter, and the ability to work independently and meticulously with extreme attention to detail. SECONDARY QUALIFICATIONS: Familiarity with International Travel:
Willingness to travel periodically (up to 10%) to CURE's hospitals in low-income countries for hands-on technical support, training, and data quality audits. Global Experience:
Experience working with teams in a global, non-profit, or international setting. Evaluation or Research Experience:
Experience working on research or evaluation projects in an academic or non-profit setting.
Compétences linguistiques
- English
Avis aux utilisateurs
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