Closing Date: May 1, 2026
Organization
3IS is an international non-profit organization whose role is to provide information management services to humanitarian and development organizations, enabling partners to make informed decisions that ultimately provide high-quality, targeted assistance to the world's most vulnerable populations. 3IS turns data into information and creates knowledge for decision-makers operating in conflict, disaster, post-disaster and recovery environments, as well as other complex emergency situations and development contexts.
Background
The main objective of this project is to improve the timeliness, efficiency and relevance of the humanitarian response through the systematic use of real-time information from communities and implementing partners.
The initiative is based on the implementation of an integrated system of two-way communication, monitoring and interoperable information management, which strengthens accountability to communities (AAP), improves access to information on assistance and optimizes decision-making in the humanitarian system.
The project promotes the integration of structured and unstructured data, the use of artificial intelligence tools for real-time analysis and interoperability with existing platforms, reducing duplication and strengthening operational efficiency.
Description of Services
The natural person in charge of providing these services will be responsible for organizing the data collection, performing its analysis and technical interpretation, and generating reports and visualization products understandable to various audiences. To do this, they must apply knowledge of programming languages such as Python or R, database management and information visualization techniques. It will also use artificial intelligence tools in the development of practical solutions, such as process automation or the implementation of intelligent agents. The consultant will develop information products derived from data analysis, interpret the information with technical criteria and communicate the results clearly, autonomously and effectively, in a collaborative environment oriented to the strategic use of data.
It will also contribute to the analysis of information from community feedback mechanisms and the generation of evidence for humanitarian decision-making in coordination spaces.
Activities
Specific
- Compile, cleanse, process, and analyze information from primary and secondary databases, including structured and unstructured data from communities and implementing partners.
- Prepare, write and present technical reports and analytical products aimed at decision-making in humanitarian coordination spaces.
- Identify, establish and manage information exchange flows with key actors and institutions, in accordance with the requirements of the project.
- Generate analyses that allow the identification of trends, gaps in response and early warnings at the territorial level.
- Analyze information from community feedback mechanisms (AAPs), including free text, audio, or other unstructured formats.
- Apply and incorporate data processing and analysis methodologies, as well as document in detail the procedures implemented.
- Support the integration and harmonization of data with existing systems (e.g. ActivityInfo/5W, Anticipa or other relevant platforms).
- Review, validate and propose relevant statistical methodologies for the collection, processing and analysis of data, both primary and secondary.
- Provide technical assistance in the implementation of solutions based on artificial intelligence for the processing, classification and analysis of information in real time, including large volumes of community data.
- Develop and maintain reproducible and efficient scripts for statistical analysis, using languages such as Python, R, Stata or others that are appropriate.
- Design and generate interactive visualizations and automated reports using tools such as Power BI, online dashboards or notebooks.
- Technically manage and update clear and structured technical documentation on the processes carried out, workflows and good practices in data science.
Cross-cutting
- Prepare the work plan and communicate its progress, difficulties and challenges in a timely manner to the referent of this contract.
- Attend the face-to-face spaces of the project.
- Carry out field missions when their participation in the project is required.
- Prepare monthly progress reports.
- Ensure timely delivery of products.
- Participate in cross-cutting groups in a timely manner.
- Contribute to the organization's knowledge management strategy and to the strengthening of internal knowledge on the use of statistics and AI in data management.
- Support the analysis of information in field missions and its integration into information products for decision-making.
MINIMUM QUALIFICATIONS:
Education
Professional with a university degree in statistics, mathematics, data science, economics or related areas. Postgraduate studies or complementary training in data science, artificial intelligence or machine learning.
Experience
To be eligible, the person applying for this provision of services must have at least three (3) years of proven experience in activities similar to those described in these Terms of Reference. Experience in the humanitarian sector (desirable) will be especially valued, as well as participation in processes of analysis and collection of primary and secondary information. Previous experience in the use of artificial intelligence tools, process automation or development of intelligent agents (desirable), and the preparation of technical reports or analytical products aimed at non-specialized audiences will also be considered relevant.
Technical Skills
- Solid training in statistics, data science or related disciplines, with conceptual and applied mastery in the treatment of quantitative data.
- Knowledge of descriptive and inferential statistical methodologies, including sampling techniques, multivariate analysis and predictive modeling.
- Command of statistical programming languages, with demonstrable experience in at least one of the following: Python or R.
- Competencies in the use of artificial intelligence tools applied to data, such as machine learning, natural language processing (NLP), rule-based agents or language models (LLMs).
- Knowledge and use of statistical analysis tools such as SPSS, SAS, STATA, R or other relevant technical packages.
- Familiarity with data visualization platforms, such as Power BI, Tableau, or other similar tools.
- Management of information systems and databases, with the ability to extract, transform and analyze data from various sources.
- Advanced mastery of the Microsoft Office suite, with special emphasis on the use of Excel for data analysis and reporting.
- Ability to work with a results-based approach, oriented to compliance with standards and measurable goals through management indicators.
- Ability to document processes, communicate technical results clearly, and collaborate in interdisciplinary and dynamic environments.
- Experience in data analysis in humanitarian contexts, response monitoring, or interoperable information systems (desirable).
Languages
Fluent command of Spanish (speaking and writing) is required, intermediate knowledge of the English language (desirable).
Liability to beneficiaries
Staff are expected to respect the principles of accountability to beneficiaries of 3IS programmes in line with international standards, while actively engaging beneficiary communities as equal partners in the design, monitoring and evaluation of 3IS projects.
Working Conditions
Title of Services: Data Analytics Experts
Contractual Address: Bogotá D.C.
Type of Contract: Service Provision Agreement
Expected Start Date: Subject to the signing of the Agreement
Contract Termination Date: 6 months.
Fees: COP 6,000,000 – COP 7,700,000
GUIDING PRINCIPLES:
Staff are expected to respect the local culture and 3IS policies, procedures, and values at all times.
3IS has zero tolerance for sexual harassment, exploitation and abuse, human tracking, child abuse and exploitation. Any violation of these principles and policies will be treated as serious misconduct.
3IS is an equal opportunity employer regardless of background. 3IS may conduct reference checks with other organisations on matters relating to sexual harassment, exploitation and abuse.
Deadline 01 May 2026: Statement: Candidate assessment will be conducted on a rolling basis and the position could be filled before the application deadline
Apply Here: https://3is.org/jobs/expertos-en-analisis-datos/