Data Analyst, Programs and Evaluation

CURE International

United States

United States

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The Programs Data Analyst serves as a data lead for CURE's global Monitoring, Evaluation, Learning, and Data (MELD) efforts. This critical, hands?on role is responsible for ensuring the reliability and quality of CUREs 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 CUREs 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 : Bachelors 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 CUREs 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.
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United States

Sprachkenntnisse

English

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