Job Description
Observatory Data Analyst Intern Organization: Outlets for Hope, Inc. | International Truth & Trauma Institute (ITTI) Program: Global Peace & Conflict Resolution Program Residency Internship Position Title: Observatory Data Analyst Intern Internship Type: This is a pro bono educational internship/residency opportunity intended for mentorship, professional development, research exposure, and academic internship/practicum support where applicable. Location: Remote Start Date: Immediate — May 2026 Job Overview Join the International Truth & Trauma Institute (ITTI) as an Observatory Data Analyst Intern and become part of an innovative, trauma-informed global research initiative focused on conflict analysis, collective trauma mapping, humanitarian intelligence, governance instability, and peacebuilding systems. This internship offers aspiring data analysts, data scientists, and research innovators an opportunity to contribute to the development of emerging observatory-style platforms designed to analyze conflict exposure, displacement trends, trauma burden indicators, persecution patterns, election-related instability, and population-level psychosocial stressors. Interns will support the development of advanced analytical systems, dashboards, and research pipelines utilizing modern data analytics approaches, machine learning concepts, visualization tools, and large-scale data integration methods. This role is ideal for individuals passionate about leveraging data for humanitarian insight, global stabilization, public health intelligence, and conflict prevention. Students seeking academic internship, residency, practicum, or school-hour completion opportunities are strongly encouraged to apply. Responsibilities Assist in designing and organizing observatory-style data pipelines and structured research datasets Support collection, cleaning, validation, and interpretation of large-scale conflict, governance, displacement, and trauma-related datasets Contribute to development of predictive and analytical models related to collective trauma, conflict exposure, violence trends, and social instability Assist with machine learning and pattern recognition projects involving classification, clustering, anomaly detection, and trend analysis Support database management and data organization using SQL, spreadsheets, cloud-based systems, or related platforms Help integrate linked data sources from humanitarian, governance, conflict, and public datasets for comprehensive analysis Participate in dashboard creation, visualization, reporting, and observatory prototype development Assist in analyzing unstructured information sources such as reports, testimony archives, media data, policy documents, and observational logs Support production of policy briefs, trauma observatory reports, analytics summaries, and visual presentations Collaborate with leadership on research-informed peacebuilding and stabilization initiatives Maintain organized documentation and provide daily work/activity reports for each workday completed Preferred Qualifications Graduate student or senior undergraduate student in: Data Science Computer Science Statistics Peace & Conflict Studies Public Health Informatics Economics International Development Information Systems Political Science Sociology Geographic Information Systems (GIS) Strong analytical thinking and problem-solving skills Familiarity with programming or analytical tools such as: Python R SQL Excel Tableau Power BI SPSS Bash/Unix shell Exposure to big data concepts, machine learning, predictive analytics, or visualization systems is highly desirable Familiarity with TensorFlow, Spark, Hadoop, cloud computing environments (AWS or similar), or ETL/data pipeline concepts is a plus Interest in AI-assisted analytics, humanitarian intelligence systems, trauma-informed policy research, or observatory development strongly preferred Ability to work independently while remaining responsive to supervision and collaboration Strong written communication and documentation skills Internship Requirements Must be available to begin this month (May 2026) Minimum commitment: 3 days per week Minimum 6 hours per workday Must possess: Stable high-speed internet access Secure laptop/computer suitable for remote analytical work Strong initiative, professionalism, and accountability Ability to