The Data Specialist reports to the Chief of Data Analytics and Integration Section. The focus of this position is to generate and communicate data-driven analyses and insights in support of decision-making processes.
Responsibilities:
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.
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
Identify, analyse, 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.
Support the assessment of model evaluation using appropriate validation metrics to ensure the model is comprehensive and supports the organizational objectives.
Conduct activities aimed at building capacity of staff on data analytics, including trainings for staff members and other personnel.
Deliver trainings and workshops on data analytics tailored to different audiences as appropriate.
Support projects execution by conducting robust data analysis and collaborate with other team members to ensure that projects adhere to work plan objectives.
Supervise and guide other colleagues in the data-centric roles.
Execute and oversee specific projects and activities, ensuring effective use of resources and alignment with planned objectives.
Education:
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.
Work Experience:
A minimum of 5 years demonstrated knowledge of foundational concepts in data manipulation and data analysis such as data structures, statistical methods is required.
A minimum of 5 years demonstrated knowledge of data life cycle including data collection, data wrangling, analysis, visualization, deployment, monitoring, and reporting is required.
A minimum of 3 years demonstrated ability to use data to inform decisions, strategies and execution is required.
A minimum of 3 years demonstrated ability to use self-service analytics and data visualization applications (MS PowerBI, Qlik, Tableau or similar), or business intelligence tools (SAP Business Objects, etc.) is required.
A minimum of 3 years demonstrated ability to assess data accuracy and consistency by performing data validation is required.
Demonstrated knowledge in tools managing version control such as Git is desirable.
Demonstrated knowledge with database or programming languages (SQL, Python, R) is desirable.
Languages:
English and French are the working languages of the United Nations Secretariat.
For this job opening, English is required.
There are no additional desirable languages specified.
