Data Analyst

About the role

The United Nations Development Coordination Office (DCO) is a stand-alone coordination office within the UN Secretariat, exercising managerial and oversight functions of the resident coordinator system. This Data Analyst position is in the DCO Regional Office for Latin America and the Caribbean, based in Panama City, within the Data, Digital and Innovation function. The analyst supports Resident Coordinators and UN Country Teams with data analysis, visualisation and evidence-based decision-making, and reports to the Head of the Regional Office.

Key responsibilities

• Develop and implement databases, data collection systems, analytics strategies and quality control capabilities, and identify new process-improvement opportunities.
• Analyse trends and patterns in structured and unstructured data, and develop reports, dashboards and visualisations to summarise findings for management.
• Lead the production of data products such as reports and newsletters.
• Collaborate with data engineers and data scientists to improve data flows and data quality, and coordinate with other parts of the organisation to request data.
• Keep up with data analytics best practices, technologies and tools, and share findings with management.
• Build staff capacity through training on data analytics and support project execution with robust data analysis.

Required profile

• Advanced university degree (Master's or equivalent) in a quantitative field such as computer science, data science, statistics, applied mathematics, information systems or a related field; a Bachelor's degree plus two years of qualifying experience may be accepted.
• Minimum of five years of progressively responsible experience in data analysis, data engineering or data science.
• Knowledge of data structures, statistical methods and the data life cycle (collection, wrangling, analysis, visualisation, deployment, monitoring, reporting).
• Knowledge of database management and SQL; knowledge of data validation is desirable.
• English is required; Spanish is listed as a working language of the Secretariat.

Required skills

• Relational databases (SQL)
• Programming languages Python and R
• Data storytelling and visualisation tools such as Tableau, Power BI, Qlik and R