Job Summary
- Type: full-time
- Location: Lilongwe
- Category: Data Analytics and Management
- Closing Date: 2026-09-01
Key Responsibilities
- Implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
- Contribute to the identification, analysis and interpretation of trends or patterns, using statistical methods to identify relevant features and variables in structured sources of information and data.
- Implement process improvement mechanisms for data analytics tasks; acquire and clean data from primary or secondary sources and maintain databases/data systems.
- Contribute to the development of reports, dashboards or other tools to effectively summarize findings and convey information to management.
- Track and report on progress regarding department specific data initiatives.
- Contribute to the creation of basic data visualization outputs to aid decision-making and communications of analysis outputs.
- Contribute to project tasks, assist with data collection and initial analysis, and report unresolved issues to senior staff.
- Contribute to the production of data products like reports or newsletters related to data analysis activities.
- Contribute to data collection and gathering business requirements across departments to identify pain points and support data-driven analysis.
- Compile and clarify data insights and develop supporting materials in preparation for stakeholder communications.
- Keep abreast of the current and emerging trends and developments in data analytics best practices, technologies, tools, etc.
- Contribute to data collection and preliminary analysis to support the preparation and verification of data used in model assessments.
- Contribute to activities aimed at building capacity of staff on data analytics, including trainings for staff members and other personnel.
- Contribute to the trainings and workshops on data analytics.
- Contribute to data preparation and preliminary analysis, support team members in data verification and routine reporting tasks, help in administrative aspects of the work plan.
- Serve as technology and innovation focal point for the RCO.
- Performs other duties as assigned.
Requirements
- An advanced university degree (Master’s degree or equivalent) in computer science, data science, analytics, statistics, applied mathematics, information management, data management, information systems, information science or a related quantitative field is required. A first-level university degree (Bachelor’s degree or equivalent) in combination with qualifying experience may be accepted in lieu of the advanced university degree.
- A minimum of two (2) years of progressively responsible experience demonstrating ability to translate business requirements into technical solutions is required. Demonstrated ability to perform quality assurance of data analysis outputs is required.
- Demonstrated ability to assess data accuracy and consistency by performing data validation is desirable.
- Demonstrated skills in data storytelling and data visualization tools such as Tableau, Power BI, Qlik, and R is desirable.
- One (1) year or more of experience in data analytics or related area is desirable.
How to Apply
REF Code: 282415
About the Company
The United Nations (UN) is an international intergovernmental organization established by the signing of the Charter of the United Nations on 26 June 1945 with the articulated mission of maintaining international peace and security, to develop friendly relations among states, to promote international cooperation, and to serve as a centre for harmonizing the actions of states in achieving those goals.
Frequently Asked Questions
What qualifications do I need to become an Associate Data Specialist with the United Nations in Malawi?
Typically, a bachelor's degree in statistics, data science, computer science, economics, or a related field is required, though some roles accept equivalent practical experience. Familiarity with tools like Excel, SQL, R, Python, or Power BI is highly valued. UN agencies may also look for knowledge of data protection and results-based management frameworks.
What are the typical day-to-day responsibilities of an Associate Data Specialist?
Daily tasks usually include collecting, cleaning, and validating datasets, producing reports and dashboards, and supporting monitoring and evaluation activities. You may also assist programme teams with data analysis for decision-making and maintain databases. Collaboration with field officers and other specialists is common.
What does the work culture look like at UN offices in Malawi?
UN workplaces in Malawi are multicultural and emphasize professionalism, punctuality, teamwork, and respect for diversity. English is the primary working language, so strong written and verbal communication skills are essential. There is also a strong focus on ethics, accountability, and adherence to UN values and codes of conduct.
What career growth can I expect as an Associate Data Specialist?
Associate-level roles often serve as entry points into the UN system, with progression possible to Data Specialist, Data Analyst, or Monitoring and Evaluation Officer positions over time. Advancement typically depends on performance, additional qualifications such as a master's degree or certifications, and competitive internal applications. Gaining experience across different UN agencies or duty stations can also open doors.
What benefits do UN staff in Malawi typically receive?
UN staff generally receive benefits such as annual and sick leave, health insurance coverage, and pension contributions under the UN Joint Staff Pension Fund. Additional benefits may include allowances depending on contract type and family status. The exact package varies by contract category (e.g., national vs international staff) and agency.
How do I apply for this role, and what do employers in Malawi look for?
Applications are typically submitted through official UN career portals such as Inspira or individual agency websites, so always apply directly rather than through unofficial channels. Employers look for a tailored CV highlighting relevant technical skills, measurable achievements, and experience with data tools. Strong references, attention to application instructions, and demonstrated commitment to development work give candidates an edge.