Tailored Health LLC seeks an Observatory Data Analyst Fellow to support the International Truth & Trauma Institute with data-driven insights, analysis, and reporting for global health initiatives.

As an Observatory Data Analyst Fellow, you will work closely with the International Truth & Trauma Institute (ITTI) to analyze and interpret complex datasets related to truth, trauma, and global health. This role involves:

• Data Collection & Curation: Identify, gather, and clean relevant data sources from observatory databases, surveys, and partner organizations.
• Statistical Analysis: Apply advanced statistical methods to uncover trends, correlations, and insights that inform institute research and policy recommendations.
• Reporting & Visualization: Create clear, impactful dashboards and reports using tools like Tableau or Power BI to communicate findings to stakeholders.
• Collaboration: Partner with multidisciplinary teams including clinicians, epidemiologists, and program managers to align analysis with mission goals.
• Documentation: Maintain detailed records of data processes, methodologies, and code for reproducibility and institutional knowledge.
• Knowledge Sharing: Present findings at team meetings and contribute to whitepapers or publications.

• Education: Bachelor’s degree in Data Science, Statistics, Public Health, or a related field (Master’s preferred)
• Experience: 1–3 years of data analysis experience, preferably in a health or social science research setting
• Technical Skills:
  • Proficiency in Python or R for data manipulation and analysis
  • Experience with SQL for querying relational databases
  • Familiarity with data visualization tools (e.g., Tableau, ggplot2, matplotlib)
  • Understanding of survey methodology and statistical modeling
• Soft Skills:
  • Strong written and verbal communication for non-technical audiences
  • Ability to work independently in a remote environment
  • Attention to detail and commitment to data integrity
• Other: Authorization to work in the US without sponsorship

• Remote work with flexible scheduling
• Professional development opportunities including conferences and workshops
• Health insurance coverage for eligible employees
• Paid time off and holidays
• Access to cutting-edge data analytics tools and datasets