Data Specialist (Temporary Job Opening)

Org. Setting and ReportingThis temporary position is located in in the Global Innovation and Data Analytics Service, Office of the Under-Secretary General, Department for General Assembly and Conference Management in Vienna. 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. ResponsibilitiesWithin delegated authority, the Data Specialist will be responsible for the following duties: · 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. · Utilize acquired resources to build analysis, reporting and quality control. · Support the development of materials for external and internal audits through data preparation, compliance tracking, and report generation. Work implies frequent interaction with the following: 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. Results Expected: The Data Analyst turns data into information, information into insight and insight into business decisions. Through a range of data-driven products, the Data Analyst helps colleagues identify and communicate facts, trends, and patterns to support evidence-based decision-making. Within delegated authority, the Data Analyst will be responsible for the following duties: · 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. · Utilize acquired resources to build analysis, reporting and quality control. · Support the development of materials for external and internal audits through data preparation, compliance tracking, and report generation. Work implies frequent interaction with the following: 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. Results Expected: The Data Analyst turns data into information, information into insight and insight into business decisions. Through a range of data-driven products, the Data Analyst helps colleagues identify and communicate facts, trends, and patterns to support evidence-based decision-making. CompetenciesProfessionalism: Excellent analytical skills with the ability to collect, organize, manage, and disseminate significant amounts of information with attention to detail and accuracy. The ability to analyze, model and interpret data in support of decision-making, and convey information succinctly to management. Adept at queries, report writing and presenting findings. Ability to quality-check work completed by other team members. Takes pride in the work for the organization and understands the impact that can be brought into the organization by allowing data-driven and evidence-based decisions. Ability to apply judgment in the context of assignments given, plan own work and manage conflicting priorities. Shows pride in work and in achievements; demonstrates professional competence and mastery of subject matter; is conscientious and efficient in meeting commitments, observing deadlines and achieving results; is motivated by professional rather than personal concerns; shows persistence when faced with difficult problems or challenges; remains calm in stressful situations. Takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work. Communication: Speaks and writes clearly and effectively; listens to others, correctly interprets messages from others and responds appropriately; asks questions to clarify and exhibits interest in having two-way communication; tailors language, tone, style and format to match audience; demonstrates openness in sharing information and keeping people informed. Planning & Organizing: Develops clear goals that are consistent with agreed strategies; identifies priority activities and assignments; adjusts priorities as required; allocates appropriate amount of time and resources for completing work; foresees risks and allows for contingencies when planning; monitors and adjusts plans and actions as necessary; uses time efficiently. EducationAdvanced 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. Job - Specific QualificationNot available. Work ExperienceA 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. LanguagesEnglish 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. The table below shows the minimum required level for each skill in these languages, according to the UN Language Framework (please consult https://languages.un.org for details).