Statistical Analysis Specialist at United Nations Environment Programme (UNEP)

Task description

Under the direction of and reporting to the Head of the Environment and SDG Statistics Unit of the Capacity Development and Innovation Branch of the Division for Early Warning and Assessment, the Junior Statistical Analyst will undertake the following activities:

•  Assists in the exploration, identification, and acquisition of sources of statistical data to determine their suitability for use in advancing the goals of the organization.
•  Enables broader use of statistical data sources by applying quality methods to structure, clean, format, parse, and standardize for analytical use.
•  Assists in capacity building of Member States to leverage the use of statistical analysis in support of their national sustainable development priorities
•  Supports UNEP’s work on nature, pollution, and climate with statistical analytics that assist in accomplishing UNEP’s mandates.
•  Contributes to the design and develops environmental statistics products to reveal insights and provides an understanding or knowledge of environmental data that would otherwise not be detected without the application of advanced analytical methods such as artificial intelligence, use of relevant algorithms, and computational approaches.
•  Assists in promoting the use of statistical analysis through capacity development and the development of products, tools, and processes to extend member state statistical capabilities.
•  Guides, trains, and supervises general service staff, as required.
•  Implements databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
•  Contributes to statistical data content and quality, etc. in UNEP’s World Environment Situation Room.

Requirements

Required experience

• 3 years of experience in relevant fields; of which at least two years of progressively responsible experience in statistical information management and applied statistical analytics is required.
• Knowledge of artificial intelligence, machine learning, or related area is highly desirable.
• Proven experience in statistical analysis and facility with statistical methodologies and metadata, database management, is required.
• Experience with team and/or project management is desirable.
• Candidates must be able to demonstrate they are organized, reliable, and efficient. An understanding of how to work effectively as part of a team, and a willingness to learn and grow professionally by taking on new competencies and remaining abreast of developments in the statistical analytics field is essential. Proven ability to work effectively with a wide range of various actors is also required. As well, UNEP highly values creativity and innovative thinking, coupled with a problem-solving mindset