Statistical Analysis Specialist | UNEP Young Talent Pipeline
Mission and objectives
Since its inception in 1972, the United Nations Environment Programme (UNEP) has been the global authority that sets the environmental agenda, promotes the coherent implementation of the environmental dimension of sustainable development within the United Nations system and serves as an authoritative advocate for the global environment.
UNEP’s mission is to provide leadership and encourage partnership in caring for the environment by inspiring, informing, and enabling nations and peoples to improve their quality of life without compromising that of future generations.
Headquartered in Nairobi, Kenya, UNEP works through its divisions as well as regional, liaison and out-posted offices and a growing network of collaborating centres of excellence.
UNEP’s Science Division provides highly credible, relevant, and salient scientific assessments, data, and statistics to underpin inter-governmental negotiations, support transformational policy development and action. As science is the foundation for all environmental policy making, for monitoring progress, making course corrections, and understanding both successes and failures, UNEP consistently integrates extensive data analysis across all aspects of its work.
Data Analytics – You Can’t Know What You Don’t Measure: Statistical analysis is essential to understanding and developing effective solutions to environmental issues. UNEP is investing heavily in building a World Environment Situation Room (WESR) that will provide the contextualized and interpreted data on changes to the environment over space and time.
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.
From 27 years of age
Candidate must be a national of a country other than the country of assignment.
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
Area(s) of expertise
Economics and finance
English, Level: Fluent, Required
Required education level
Bachelor degree or equivalent in Statistics, earth sciences, or other data-analytics related fields. A first-level university degree in combination with qualifying experience may be accepted in lieu of the advanced university degree.
Competencies and values
- Professionalism: Ability to identify issues, formulate opinions, make conclusions and recommendations; 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.
- Planning and 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.
- Communication: Speaks and writes clearly and effectively; listens to others, correctly in-terprets messages from others and responds appropriately; proven interpersonal skills; 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 in-formation and keeping people informed; good spoken and written communication skills, including ability to prepare clear and concise reports; ability to conduct presentations, ar-ticulate options and positions concisely; ability to make and defend recommendations; ability to communicate and empathize with staff (including national staff), military person-nel, volunteers, counterparts and local interlocutors coming from very diverse back-grounds; ability to maintain composure and remain helpful towards the staff, but objective, without showing personal interest; capacity to transfer information and knowledge to a wide range of different target groups.
- Genuine commitment towards the principles of voluntary engagement, which includes solidarity, compassion, reciprocity, and self-reliance; and commitment towards the UN core values.
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