UN Data Analyst

Job Posting Organization:
The United Nations Development Coordination Office (DCO) was established to enhance the effectiveness of the UN's development efforts. It operates under the United Nations Secretariat and oversees the Resident Coordinator system, which is crucial for coordinating the UN's development activities across various countries. The DCO is committed to achieving sustainable development goals and works collaboratively with various UN agencies and country teams to ensure that development initiatives are aligned with the needs of member states. The DCO employs a diverse workforce and is dedicated to promoting gender balance and inclusivity within its ranks.

Job Overview:
The UN Data Analyst position is situated within the Data, Digital, and Innovation (DDI) Section of the DCO. The primary function of this role is to lead and support data-driven initiatives that enhance the effectiveness of the Resident Coordinator system. The Data Analyst will be responsible for developing and implementing data collection systems, databases, and analytical tools that optimize statistical efficiency and quality. This position requires a strong analytical mindset to interpret trends and patterns in both structured and unstructured data sources. The incumbent will also be tasked with creating reports and dashboards that summarize findings and provide insights at various levels, including corporate, global, regional, and country levels. Additionally, the Data Analyst will play a key role in capacity building by training staff on data analytics and UN INFO modules, ensuring that the organization remains at the forefront of data-driven decision-making.

Duties and Responsibilities:
The Data Analyst will have a comprehensive set of responsibilities, including but not limited to: developing and implementing databases and data collection systems; analyzing and interpreting data trends using statistical methods; creating reports and dashboards to summarize findings; collaborating with data engineers and scientists to improve data quality; conducting training sessions for staff on data analytics; and supporting project execution through robust data analysis. The role also involves establishing communication with various organizational units to express data needs and collaborating with external counterparts to exchange information and best practices. The Data Analyst will lead the production of data products such as reports and newsletters, ensuring that all outputs meet the highest standards of quality and relevance.

Required Qualifications:
Candidates must possess a strong foundation in data analysis, data engineering, or data science, with a minimum of five years of progressively responsible experience in these fields. Knowledge of data manipulation concepts, statistical methods, and the data life cycle is essential. Familiarity with database management and the ability to extract, transform, and load data from various sources is required. Proficiency in relational databases (SQL) and programming languages such as Python and R is desirable. Additionally, candidates should have skills in data storytelling and visualization tools like Tableau, Power BI, and Qlik, as well as the ability to communicate complex technical matters to diverse audiences.

Educational Background:
An advanced university degree (Master’s degree or equivalent) in fields such as computer science, data science, analytics, statistics, applied mathematics, information management, or a related quantitative field is required. Alternatively, a first-level university degree (Bachelor’s degree or equivalent) combined with two additional years of qualifying experience may be accepted in lieu of the advanced degree.

Experience:
The position requires a minimum of five years of progressively responsible experience in data analysis, data engineering, or data science. Candidates should have a solid understanding of data manipulation and analysis concepts, as well as experience with data collection, wrangling, analysis, visualization, and reporting. Familiarity with data quality assurance processes and the ability to validate data accuracy is also necessary.

Languages:
English is the required working language for this position, with a minimum proficiency level of UN Level II in reading, writing, listening, and speaking. French is considered a desirable language, with a minimum proficiency level of UN Level I in reading, writing, listening, and speaking.

Additional Notes:
This position is open for an initial period of one year and may be subject to extension based on funding availability. The United Nations is committed to achieving gender balance in its workforce and encourages female candidates to apply. The recruitment process is subject to budgetary and intergovernmental approvals, and all staff members are expected to adhere to the highest standards of efficiency, competence, and integrity. The United Nations does not charge any fees during the recruitment process.