Associate Data Specialist

The Associate Data Specialist supports the UN Resident Coordinator Office in Malabo by implementing databases, data collection systems, and data analytics to optimize statistical efficiency and quality. The role involves data analysis, visualization, capacity building, and collaboration with national and UN partners to support the achievement of the Sustainable Development Goals.

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.
• Keep abreast of UN efforts in co-design (with the national statistical partners) digital tools and dashboards that track progress against the national SDG indicator framework for interoperability between the national gateway and other official platforms.
• Contribute to the creation of basic data visualization outputs to aid decision-making and communications of analysis outputs.
• Contribute to the activities for integrating monitoring milestones, indicators and evidence streams into common data pipelines based on the Cooperation Framework and Funding Compact.
• 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., and assist with identifying findings and suggestions.
• Contribute to activities aimed at building capacity of staff on data analytics, including trainings for staff members and other personnel.
• Assist in delivery of training on results-based management, evaluation techniques and use of monitoring, evaluation and learning for staff members and government partners.
• 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.
• Assist with activities for monitoring, evaluation and learning cycle to support the MEL group and national counterparts—so that planning, data collection, synthesis, validation and learning loops reinforce monitoring and support national statistical processes and standards.

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.
• English is required at UN Level II for reading, writing, listening, and speaking.
• Spanish is required at UN Level III for reading, writing, listening, and speaking.
• French is desirable at UN Level II for reading, writing, listening, and speaking.

Skills

• Data Analysis
• Data Visualization
• Data Storytelling
• Data Validation
• Quality Assurance
• Data Analytics
• Database Implementation
• Data Collection Systems
• Technical Solutions Design
• Tableau
• Power BI
• Qlik

Languages

English, Spanish, French