Data Analyst, Programs and Evaluation

CURE International Children's HospitalsGrand Rapids, MI
5d

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • 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.

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.
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