The Data Analyst interacts with counterparts, officers and technical staff in relevant organizational units in data engineering, data science and other data specialists, data owners and subject matter experts to develop and implement the databases, data collection systems and data analytics that optimize statistical efficiency and quality. It also interacts with external counterparts in the UN funds, programs and other UN specialized agencies, consultants, and NGOs to collaborate and exchange information and best practices.
Responsibilities:
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
Identify, analyze, and interpret trends or patterns, using statistical methods to identify relevant features and variables in structured and unstructured sources of information and data.
Develop and implement various analysis, reporting and quality control capabilities; identify appropriate data sources for analytics projects; locate and define new data analysis process improvement opportunities.
Develop reports, dashboards or other tools to effectively summarize findings and convey information to management.
Document requirements, background information and methodology and establish documentation practices and standards for other staff to follow.
Create interactive and static data visualizations and employ advanced features of data visualization tools to aid decision-making and communications of analysis outputs.
Lead production of data products such as reports or newsletters related to data analysis activities.
Drafts inputs for a wide range of documents/reports, briefings/debriefings, correspondence, etc.
Establish communication and cooperation with other parts of the organization to request data and express data needs.
Collaborate with data engineers and data scientists to improve data flows, data quality, etc.
Keep abreast of the current and emerging trends and developments in data analytics best practices, technologies and tools, and update management with findings and suggestions.
Conduct activities aimed at building capacity of staff on data analytics, including trainings for staff members and other personnel.
Support projects execution by conducting robust data analysis and collaborate with other team members to ensure that projects adhere to work plan objectives.
Performs other related tasks as assigned.
Education:
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 or a related quantitative field is required.
A first-level university degree in combination with two (2) additional years of qualifying experience may be accepted in lieu of the advanced university degree.
Work Experience:
A minimum of five (5) years of progressively responsible experience demonstrating ability to translate business requirements into technical solutions is required.
Demonstrated skills in data storytelling and data visualization tools such as Tableau, Power BI, Qlik, and R 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.
Experience in providing strategic support to research and data analysis, knowledge management or project/programme management in the context of development cooperation or related area is desirable.
Languages:
English and French are the working languages of the United Nations Secretariat.
