Data Analyst, P3

  • Organisation: DCO - UN Resident Coordinator System
  • Location: New York
  • Contract: R
  • Deadline: 5 December 2026

Org. Setting and Reporting

In its resolution A/RES/72/279, the United Nations General Assembly endorsed the transformation of the Development Coordination Office (DCO) into a stand-alone coordination office within the United Nations Secretariat. DCO exercises managerial and oversight functions over the Resident Coordinator system under the collective ownership of the members of the United Nations Sustainable Development Group (UNSDG). The position is located in the Data, Digital, and Innovation (DDI) Section in the Policy, Programme and Data Division of the United Nations Development Coordination Office (DCO). The DDI Section leads corporate data and digital initiatives, including applications related to UN 2.0, in support of the Resident Coordinator (RC) system. The incumbent works across UN INFO modules (IMS, CBSS, JWP, CF, etc.) and with structured and unstructured sources of information and data, including Cooperation Framework (CF) data, ensuring integration across the RC systems. The incumbent establishes communication and cooperation with Divisions, Branches, Resident Coordinator Offices (RCOs), United Nations Country Teams (UNCTs), and Regional Offices, and coordinates with the Data Analysis teams across the RC system. Analytical products include corporate, global, regional, and country-level insights and outputs. The incumbent also supports capacity building of staff on UN INFO modules.

Responsibilities

Within delegated authority, the Data Analyst will be responsible for the following: Development of products/tools • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality across relevant organizational information systems and platforms. • 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 ensuring integration across relevant systems. • Develop reports, dashboards or other tools to effectively summarize findings and convey information to management including corporate, global, regional and country-level insights. • 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 including corporate, global, regional, and country level analytical outputs. Collaboration/ Coordination • 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. Research/ Study • 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 including applications related to UN 2.0. Training • Conduct activities aimed at building capacity of staff on data analytics, including trainings for staff members and other personnel particularly on UN INFO modules (IMS, CBSS, JWP, CF, etc.). Implementation • Support projects execution by conducting robust data analysis and collaborate with other team members to ensure that projects adhere to work plan objectives. Work Interactions 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.

Competencies

PROFESSIONALISM: Knowledge of foundational concepts in data manipulation and data analysis such as data structures, statistical methods, etc.; Ability to perform quality assurance of data analysis outputs; Ability to assess data accuracy and consistency by performing data validation; Ability to translate business requirements into technical solutions; Analytical thinking. Shows pride in work and in achievements; demonstrates professional competence and proficiency in 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; demonstrates knowledge of strategies and commitment to the goal of gender balance in staffing. ACCOUNTABILITY: Takes ownership of all responsibilities and honors commitments; delivers outputs for which one has responsibility within prescribed time, cost, and quality standards; operates in compliance with organizational regulations and rules; supports subordinates, provides oversight, and takes responsibility for delegated assignments; takes personal responsibility for his/her own shortcomings and those of the work unit, where applicable. 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 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 (Bachelor’s degree or equivalent) in combination with two additional years of qualifying experience may be accepted in lieu of the advanced university degree.

Job - Specific Qualification

Not available.

Work Experience

A minimum of five years of progressively responsible experience in Data Analysis, Data Engineering or Data Science, is required. Knowledge of foundational concepts in data manipulation and data analysis such as data structures, statistical methods, etc. is required. Knowledge of data life cycle including data collection, data wrangling, analysis, visualization, deployment, monitoring, and reporting is required. Knowledge in database management to extract, transform, and load data from various sources is required. Skill in relational databases (SQL) and programming languages (Python, R) is desirable. Skills in data storytelling and data visualization tools such as Tableau, Power BI, Qlik, and R is desirable. Ability to assess data accuracy and consistency by performing data validation is desirable. Skills to communicate complex and technical matters to diverse audiences is desirable.

Languages

English and French are the working languages of the United Nations Secretariat. For this job opening, English is required. French is desirable. 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).

Required Languages

Language Reading Writing Listening Speaking

English UN Level II UN Level II UN Level II UN Level II

Desirable Languages

Language Reading Writing Listening Speaking

French UN Level I UN Level I UN Level I UN Level I

Assessment

Evaluation of qualified candidates may include an assessment exercise which may followed by a competency-based interview.

Special Notice