Information Systems Assistant – Data Analyst (UN Volunteer Jobs)

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Information Systems Assistant – Data Analyst (UN Volunteer Jobs) – United Nations Organisation Stabilization Mission in the Democratic Republic of the Congo (MONUSCO)

United Nations Organisation Stabilization Mission in the Democratic Republic of the Congo (MONUSCO)

Posted

9 hours ago

Closes 7 Oct

☆

Job Title:

Information Systems Assistant – Data Analyst (UN Volunteer Jobs)

Organisation:

United Nations Organisation Stabilization Mission in the Democratic Republic of the Congo (MONUSCO)

Duty Station:

Entebbe, Uganda

About Organisation:

Following the signing of the Lusaka Ceasefire Agreement in July 1999 between the Democratic Republic of the Congo (DRC) and five regional States (Angola, Namibia, Rwanda, Uganda and Zimbabwe) in July 1999, the Security Council established the United Nations Organization Mission in the Democratic Republic of the Congo (MONUC) by its resolution 1279 of 30 November 1999, initially to plan for the observation of the ceasefire and disengagement of forces and maintain liaison with all parties to the Ceasefire Agreement. Later in a series of resolutions, the Council expanded the mandate of MONUC to the supervision of the implementation of the Ceasefire Agreement and assigned multiple related additional tasks.

Job

Summary

• Within the delegated authority and under the direct supervision of the Chief I&T or designated authority, the UN Volunteer will undertake the following duties:
• Key Duties and

Responsibilities

Business analysis and stakeholder engagement

Engage mission sections, pillars and other stakeholders to identify operational problems, decision-support needs and opportunities for data-driven improvement.

Lead or support requirements-gathering activities, including process mapping, data discovery, gap analysis, feasibility assessment and definition of measurable success criteria.

Translate business

and ability to work independently under established procedures in a politically sensitive environment, while exercising discretion, impartiality and neutrality; ability to manage information objectively, accurately and confidentially; responsive and client-oriented;

Accountability: mature and responsible; ability to operate in compliance with organizational rules and regulations;

Commitment to continuous learning: initiative and willingness to learn new skills and stay abreast of new developments in area of expertise; ability to adapt to changes in work environment;

Planning and organizing: effective organizational and problem-solving skills and ability to manage a large volume of work in an efficient and timely manner; ability to establish priorities and to plan, coordinate and monitor (own) work; ability to work under pressure, with conflicting deadlines, and to handle multiple concurrent projects/activities;

Teamwork and respect for diversity: ability to operate effectively across organizational boundaries; ability to establish and maintain effective partnerships and harmonious working;

relations in a multi-cultural, multi-ethnic environment with sensitivity and respect for diversity and gender;

Communication: proven interpersonal skills; good spoken and written communication skills, including ability to prepare clear and concise reports; ability to conduct presentations, articulate options and positions concisely; ability to make and defend recommendations; ability to communicate and empathize with staff (including national staff), military personnel, volunteers, counterparts and local interlocutors coming from very diverse backgrounds; ability to maintain composure and remain helpful towards the staff, but objective, without showing personal interest; capacity to transfer information and knowledge to a wide range of different target groups;

Flexibility, adaptability, and ability and willingness to operate independently in austere, remote and potentially hazardous environments for protracted periods, involving physical hardship and little comfort, and including possible extensive travel within the area of operations; willingness to transfer to other duty stations within area of operations as may be necessary; and

Genuine commitment towards the principles of voluntary engagement, which includes solidarity, compassion, reciprocity and self-reliance; and commitment towards the UN core values.

Skills and

Requirements

• into solution designs, prototypes, implementation plans and realistic estimates of resources, dependencies, risks and delivery timelines.
• Advise stakeholders on suitable analytical methods, visualizations and data-storytelling approaches, while constructively challenging requests that do not address the underlying decision need.
• Data engineering and analytics infrastructure
• Design, build, test and maintain reliable data extraction, ingestion, transformation and loading pipelines for structured and semi-structured data from databases, spreadsheets, flat files, APIs and other approved sources.
• Develop scalable data models, curated datasets and data-store structures that support consistent reporting, reuse and future advanced analytics.
• Integrate data from multiple operational systems, implement incremental and scheduled processing where appropriate, and reduce unnecessary manual handling.
• Apply sound software and data engineering practices, including modular development, source control, testing, error handling, logging, documentation, deployment and maintainability.
• Assess existing analytics infrastructure and recommend practical improvements to architecture, performance, resilience and cost-effectiveness within the available UN technology environment.
• Business intelligence and advanced analytics
• Design and develop basic to complex reports, dashboards, semantic models and analytical applications using Power BI and other approved tools.
• Conduct exploratory, diagnostic and statistical analysis of large and complex datasets to identify patterns, anomalies, trends, risks and operational improvement opportunities.
• Develop meaningful indicators and analytical frameworks in collaboration with business owners, ensuring that definitions, calculations and limitations are transparent.
• Optimize data models, queries and reports for performance, usability, accessibility and reliable refresh.
• Present findings through concise narratives, visualizations and recommendations tailored to technical, operational and senior leadership audiences.
• Data governance, quality and protection
• Establish and apply data-quality controls, validation rules, reconciliation processes and issue-resolution procedures across analytics products.
• Contribute to data dictionaries, metadata, lineage documentation, ownership arrangements, access controls, retention practices and common standards.
• Ensure that solutions are developed in accordance with applicable UN information security, privacy, confidentiality and record-management requirements.
• Promote responsible access to data and design solutions that appropriately separate sensitive information according to user roles and operational need.
• Project delivery, adoption and knowledge transfer
• Plan and coordinate assigned analytics initiatives, maintaining clear scope, milestones, risks, dependencies, stakeholder communications and delivery documentation.
• Develop prototypes and minimum viable solutions, coordinate testing and user acceptance, incorporate feedback and support a controlled transition into operational use.
• Monitor adoption and effectiveness after deployment and recommend improvements based on user feedback, usage evidence and changing operational needs.
• Provide technical guidance, peer review, reusable standards, documentation, demonstrations and hands-on knowledge transfer to colleagues and business users.
• Collaborate with technical specialists within MONUSCO, RSCE, other UN entities and external partners to adopt relevant standards and good practices.
• Innovation and responsible use of AI
• Monitor relevant developments in artificial intelligence, automation and advanced analytics and identify practical use cases that could add measurable operational value.
• Assess the data readiness, governance, security, ethical considerations, human oversight and stakeholder adoption
• of proposed AI-enabled solutions.
• Support carefully scoped proofs of concept using approved tools and methods, documenting benefits, limitations, risks and prerequisites before recommending broader implementation.
• Demonstrate continuous learning and the ability to investigate unfamiliar technical challenges, test options systematically and develop practical solutions.
• room technologies.
• Expected Results
• Reliable, documented and maintainable data pipelines and integrated datasets established for priority analytical use cases.
• Delivery lead times and engineering bottlenecks are reduced, allowing multiple priority analytics initiatives to progress concurrently.
• Reusable data models, standards and governance controls improve consistency, traceability and trust in mission reporting.
• Analytical products address clearly defined decision needs, perform reliably and are adopted by intended users.
• Manual effort and avoidable data-processing delays are reduced through appropriate automation and streamlined workflows.
• Technical documentation, knowledge transfer and peer review strengthen the sustainability of the Data Analytics function.
• A practical roadmap identifying when and how advanced analytics or AI can be introduced responsibly, based on data readiness and operational value.
• Qualifications, Skills and
• Relevant
• and source assessment through development, testing, deployment, documentation, and user adoption, is required.

Experience

Deadline: 7th October 2026

• Age: 18 – 80 years
• Required
• 3 years
• Nationality
• Candidate must be a national of a country other than the country of assignment.
• Assignment
• 3 years
• Languages
• English, Level: Fluent, Required
• French, Level: Working knowledge, Desirable
• Required
• A minimum of three years of progressively responsible professional
• in data engineering, data analytics, business intelligence, data science, or a closely related area is required.
• Hands-on
• delivering end-to-end data solutions, from
• building production-oriented data pipelines, integrating multiple or high-volume data sources, and demonstrated delivery of enterprise-scale or mission-critical data solutions is required.
• Strong SQL skills, including complex querying, data transformation, performance considerations, and relational data modelling.
• Practical
• designing ETL/ELT pipelines and working with data warehouses, data marts, Lakehouse environments, or comparable analytical data stores.
• Proficiency in Python or another suitable programming language for data processing, automation, and analysis.
• Ability to work with diverse data sources and formats, including relational databases, Microsoft Excel, CSV/TSV, JSON and REST APIs.
• Strong hands-on
• with Power BI, including Power Query, DAX, semantic modelling, data refresh, security, and performance optimization.
• with version control, preferably Git, and with structured development, testing, and documentation practices.
• Working knowledge of data quality, governance, privacy, information security and role-based access principles.
• Good working knowledge of contemporary AI concepts and their potential application and limitations in analytics, including responsible use, privacy, bias, security and human oversight.
• Desirable technical assets
• with Microsoft Azure, Microsoft Fabric, Azure Data Factory, SQL Server Integration Services or another enterprise data-integration and orchestration platform.
• with Power Automate, Power Apps, SharePoint Online or related Microsoft Power Platform services.
• Exposure to statistical modelling, natural-language processing, machine learning, large language models or other advanced analytical techniques.
• Area(s) of expertise
• Information technology and telecommunications, Art, design, culture, Communication, advocacy, public information
• Driving license
• Light Vehicle (LV) Required
• How to Apply:
• All suitably qualified and Interested applicants should apply online at the link below.
• Opens the employer’s application page
• Apply Now →
• NB: Only shortlisted candidates will be contacted.
• For more of the latest jobs, please visit
• https://www.theugandanjobline.com
• or find us on our facebook page
• https://www.facebook.com/UgandanJobline
• Level of
• in Months: 36
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Education

• level
• Bachelor’s degree in information technology, Telecommunications, Business Information Technology, Business Systems Engineering, Computer Science, Software Engineering/Information or related discipline.
• Competencies and values
• Integrity and professionalism: demonstrated expertise in area of specialty and ability to apply good judgment; high degree of autonomy, personal initiative and ability to take ownership; willingness to accept wide
• bachelor degree
• Work Hours: 8