Associate Data Specialist

The Associate Data Specialist supports the UN Resident Coordinator Office in Bissau by implementing data collection systems, performing data analysis, and contributing to reporting and capacity building activities to support the achievement of the Sustainable Development Goals. The role involves collaboration with UN entities, national institutions, and development partners to optimize data quality and support evidence-based decision-making.

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.
• Perform other related tasks 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, economic or social sciences, or a related field, is required.
• A first-level university degree (Bachelor’s degree or equivalent) in combination with two (2) additional years of qualifying experience may be accepted in lieu of the advanced university degree.
• A minimum of two (2) years of progressively responsible experience demonstrating the knowledge, skills and abilities 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.
• Demonstrated knowledge of data life cycle including data collection, data wrangling, analysis, visualization, deployment, monitoring, and reporting is desirable.
• Demonstrated skills on Project management is desirable.
• Demonstrated skills in developing and executing training programs and curricula across different levels and target audience using various methods, is required.
• English and French are required at UN Level II for reading, writing, listening and speaking.
• Portuguese is required at UN Level III for reading, writing, listening and speaking.

Skills

• Data Analysis
• Data Quality Assurance
• Data Validation
• Data Storytelling
• Data Visualization
• Tableau
• Power BI
• Qlik
• Data Life Cycle
• Project Management
• Training Program Development
• Curriculum Design
• Data Collection Systems
• Capacity Building
• Business Requirements Translation
• Data Wrangling

Languages

English, French, Portuguese