Responsibilities

• Organizes, designs, plans and carries out the collection, evaluation, analysis, compilation and dissemination of statistical data by selecting methods of data collection, selecting and implementing methods for checking collected data, and selecting and implementing appropriate methods for data processing for incorporation into databases.
• Support the collection, processing, evaluation and dissemination of various forms of data from Member states, UN-Habitat branches and regional or field offices, civil society, NGOs and partner databases including those from other UN agencies, UN Statistical Division, UN population Division, etc.
• Participates in the development, implementation and management of statistical database(s).
• Compile a database comprising of SDG 11 and other Human Settlement Indicators at the city level using different data sources such as national censuses; Demographic and Health Surveys (DHS); Multiple Indicators Cluster Surveys (MICS); Urban Inequities Surveys (UIS); various national household surveys; and other administrative sources.
• Contribute to the data analysis and updates of the Urban Indicators Database including follow up with National Statistical systems on urban SDGs and City Prosperity Index (CPI) related data and reporting mechanisms.
• Contribute to piloting data gathering using tools developed by DAU as part of monitoring and reporting of the NUA
• Provides training and technical support on data collection programmes, country practices and other related information.
• Participates in the development or revision of standards on statistical concepts, definitions and classifications by performing methodological research.
• Prepares draft technical documents for international, intergovernmental and expert group meetings and assists in drafting relevant reports.
• Organizes and participates in seminars, working groups and expert meetings as a technical resource person.
• Guides trains and supervises general service staff.
• Collects and analyzes data to identify trends or patterns and provide insights through graphs, charts, tables and reports using data visualization methods to enable data-driven planning, decision-making, presentation and reporting.
• Performs other duties as assigned.

Requirements

Competencies

Professionalism:

• Knowledge of statistical principles and practices.
• Ability to conduct independent research and analysis.
• Ability to identify issues, formulate options and make conclusions and recommendations.
• Able to analyze and interpret data in support of decision-making and convey resulting information to management.
• 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.

Teamwork:  

• Works collaboratively with colleagues to achieve organizational goals;
• solicits input by genuinely valuing others’ ideas and expertise;
• is willing to learn from others; places team agenda before personal agenda;
• supports and acts in accordance with final group decision, even when such decisions may not entirely reflect own position;
• shares credit for team accomplishments and accepts joint responsibility for team shortcomings.

Education

• An advanced university degree (Master’s degree or equivalent) in statistics, mathematics, economics, sociology, GIS or related 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.
• Successful completion of both degree and non-degree programs in data analytics, business analytics or data science programs is desirable.

Work Experience

• A minimum of five (5) years of progressively responsible experience in the collection, compilation, analysis and dissemination of statistical data or related area is required.
• Two (2) years or more of experience in data analytics or related area is desirable.