Dieses Stellenangebot ist nicht mehr verfügbar
Data Analyst, Programs and Evaluation
CURE International
- United States
- United States
Über
reliability and quality of CURE's data pipelines. The ideal candidate is a highly meticulous,
self-starting analyst who excels at diagnosing data issues, understands data quality and relational databases, and can quickly deliver high-quality data visualizations and analysis.
KEY RESPONSIBILITIES
Data Integrity & Quality Control: 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.
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.