Analista de Integridad de la Información (Information Integrity Analyst)
Organizational Context
The United Nations Information Centre (CINU) in Mexico, established in 1947, is the oldest UN office in Latin America and part of the UN Department of Global Communications (DGC). CINU serves as a vital link between the public and the UN. The DGC is actively promoting global principles for information integrity through policy advocacy, capacity building, and research. The Information Integrity Centre of Excellence in Mexico City supports regional and global efforts, contributing to the Global Information Integrity Exchange (GIIEx) with a focus on research, risk assessment, and preparedness/response.
Job Purpose
This role is based at the UN Information Centre (CINU) in Mexico City, supporting the Department of Global Communications (DGC) in its mission to advance information integrity. The incumbent will contribute to research and analysis on information environments, focusing on areas such as political discourse during elections and digital harms affecting children. The position involves supporting CINU Mexico's initiatives and collaborating with the DGC's Information Integrity team at headquarters. Key activities include data analysis, risk assessment, and developing practical responses. The role aims to strengthen the UN's capacity to promote and implement global information integrity principles, connecting local research with international efforts.
Responsibilities
The Information Integrity Analyst will support data analysis and social/media listening tools (e.g., Brandwatch, Meltwater). Responsibilities include designing and conducting quantitative and qualitative research on information environments using various methodologies. This involves formulating research questions, developing methodologies, indicators, taxonomies, and data analysis protocols. The analyst will analyze narratives, information gaps, actors, and amplification patterns, combining quantitative data with qualitative context. Data cleaning, validation, and quality control are essential, along with documenting methodological assumptions and limitations. Findings will be translated into structured risk assessments and preparedness/response options, differentiating evidence from hypotheses. The role contributes to information integrity studies, policy recommendations, and the design of evidence-based responses. Training, technical support, and the development of reusable analytical frameworks and tools are also expected. Collaboration with UN entities, academia, government, and civil society is crucial, ensuring all outputs are rigorous, neutral, evidence-based, and respect human rights, privacy, and ethical standards.
Work Experience
A minimum of 7 years of progressive experience is required in information integrity, social/media listening, digital research, narrative analysis, computational social science, or media research. Experience in designing and executing mixed-methods research, including methodology design, data collection, analysis, and reporting, is essential. Proficiency in analyzing digital and media data, translating findings into clear analytical conclusions, and strong analytical judgment are necessary. Desirable experience includes using social listening tools (Meltwater, Brandwatch), developing boolean queries, taxonomies, coding frameworks, and structured datasets. Experience in training, technical support, and in areas like electoral information environments, gender-based violence, child rights, or digital harms is advantageous.
Skills
Key competencies include professionalism, teamwork, planning and organization, accountability, adaptability, creativity, judgment and decision-making, and self-management. Specific skills required are in communication, advocacy, public information, information technology, governance, and elections. The role demands the ability to work with high ethical and technical standards, incorporate gender perspectives, respect human rights, and collaborate effectively in diverse teams. Strong analytical skills, the capacity to differentiate evidence from hypotheses, and the ability to analyze complex information environments with political sensitivity are crucial.