Associate Data Specialist
Organizational Context
The UN Resident Coordinator Offices (UN RCO), part of the UN Secretariat's Development Operations Coordination Office (DCO), support countries in achieving development priorities and SDGs. This role is within the UN RCO in Tunis, Tunisia, reporting to the Head of the RCO. The office is adapting to the UN 2.0 shift, emphasizing data, digital, innovation, and foresight.
Job Purpose
The Associate Data Specialist supports the UN RCO in Tunis by developing and implementing databases, data collection systems, and analytics to optimize statistical efficiency and quality. This role involves collaborating with internal and external counterparts to exchange information and best practices. The specialist will contribute to evidence-based decision-making by analyzing trends, maintaining data systems, and developing reports and dashboards. They will also play a key role in building capacity for data analytics among UN personnel and national counterparts, fostering a data-driven culture within the RCO and promoting the use of advanced analytical methods for generating insights.
Responsibilities
Develop and implement databases, data collection systems, and analytics to optimize statistical efficiency and quality. Identify and analyze trends using statistical methods. Acquire, clean, and maintain data systems, ensuring data integrity. Develop reports, dashboards, and visualizations to support evidence-based decision-making. Document methodologies and establish data practices. Design and implement process improvements, including automation and architecture optimization. Collaborate with data engineers and scientists to enhance data flows and quality. Build staff and partner capacity in data analytics through training and workshops. Contribute to the design of data science products using advanced analytical methods. Serve as a resource person for data analytics within the RCO.
Work Experience
A minimum of two years of progressive experience in data analysis, statistics, data management, or a related field is required. Experience in data collection, cleaning, validation, analysis, and interpretation is essential. Proficiency with data analysis and visualization tools (e.g., Power BI, Tableau, R, Python, SQL) is required. Experience developing analytical products and reports for diverse audiences is necessary. Experience in data quality assurance and supporting development or SDG monitoring is desirable.
Skills
Professionalism, Teamwork, Accountability, Creativity, Analytical thinking, Strategic thinking, Data analysis, Data management, Statistical methods, Data visualization, Report writing, Collaboration, Capacity building.