Data Analyst, Programs and Evaluation

Overview

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 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.

• 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.

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.

• 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.

• 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.