ASSOCIATE DATA SPECIALIST

Organizational Context

The UN Resident Coordinator Offices (UN RCO), under the UN Secretariat's Development Operations Coordination Office (DCO), support countries in achieving development priorities and SDGs. This role is within the RCO in Baku, Azerbaijan, reporting to the Head of the RCO, and contributes to the UN 2.0 shift focused on data, digital, and innovation.

Job Purpose

The Associate Data Specialist supports the UN Resident Coordinator (RC) and UN Country Team (UNCT) in Azerbaijan to enhance evidence-based decision-making for the UN Sustainable Development Cooperation Framework (CF). This involves managing and analyzing data, fostering strategic partnerships for data and research, monitoring progress (including via UNINFO), and contributing to knowledge management and capacity development to accelerate SDG achievement. The role collaborates with internal and external counterparts to optimize data collection systems, databases, and analytics, ensuring statistical efficiency and quality.

Responsibilities

Implement and maintain databases, data collection systems, and data analytics strategies to optimize statistical efficiency and quality. Analyze trends and patterns using statistical methods to identify key features and variables in data. Acquire, clean, and manage data from various sources, and implement process improvements for data analytics tasks. Develop reports, dashboards, and visualizations to effectively communicate findings and support management decision-making. Track progress on data initiatives, gather business requirements, and compile data insights for stakeholder communications. Stay updated on data analytics best practices and technologies. Contribute to capacity-building activities and trainings on data analytics. Assist with data collection, preliminary analysis, and administrative tasks as needed.

Work Experience

A minimum of two years of progressive experience in translating business requirements into technical solutions is required. Desirable experience includes data quality assurance, data validation, using data visualization tools (Tableau, Power BI, Qlik, R), understanding the data life cycle, project management, and prior work with international organizations.

Skills

Professionalism, Planning and Organizing, Teamwork, Data Engineering, Data Science, Data Analytics, Data Management, Statistical Analysis, Data Visualization, Communication, Problem-Solving.

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