Overview
The Data Analyst will support the strengthening of system-wide SEA reporting and analysis, enhancing the quality, coherence, and integrity of SEA data across the United Nations system. The role aims to inform evidence-based PSEA strategies through accurate, harmonized, and accessible data analysis.
Key Responsibilities
- Improve data flows and practices across the United Nations system, including through the Case Management Tracking System (CMTS) and the electronic United Nations system-wide SEA reporting platform (iReport).
- Identify and address gaps and inconsistencies in data entry, updating, and reporting.
- Define new data reporting and analysis process improvements and implement approved data system enhancements.
- Identify, assess, and select reliable and relevant data sources.
- Lead the update of the iReport, including visualization of the data dictionary, updating data flows, and developing a protocol for data validation.
- Develop and implement various analysis, reporting and quality control capabilities.
- Identify, analyze, and interpret trends and patterns using statistical and machine learning methods.
- Develop and implement the protocol and workflow for public reporting and periodic reports presented in user-friendly dashboards.
- Lead the continuous improvement of design, analysis, and dissemination of system-wide annual survey on Protection from SEA (PSEA).
- Prepare and/or improve user guidance materials, deliver training on updated data protocols and tools, and provide ongoing technical support.
- Regularly engage with substantive teams to gather input on data usage patterns, reporting requirements, and decision-making workflows.
- Facilitate feedback loops between technical and substantive stakeholders and translate the feedback into actionable data system enhancements.
Required Experience
- A minimum of five years of progressively responsible experience in applied analytics, business intelligence, information management, statistics, or related area is required.
- Proficiency in handling complex data from various sources and analyzing large datasets, with the involvement of multiple stakeholders, is required.
- Expertise in creating user-friendly data visualizations and effective data analysis strategies that support informed decision-making and strategies is required.
- Experience with self-service analytics and data visualization applications (MS PowerBI, Qlik, Tableau or similar), or business intelligence tools (SAP Business Objects, etc.) is required.
- Experience in survey design, data collection, and extracting insights from responses is desirable.
- Experience with database or programming languages (SQL, Python, R) is desirable.
- Experience with tools which manage version control, such as Git, is desirable.
Qualifications
- Advanced university degree (Master's degree or equivalent) in computer science, data science, analytics, statistics, information management, public administration, management or a related field.
- A first-level university degree in combination with qualifying experience may be accepted in lieu of the advanced university degree.
