Apply for the International UN Volunteer Specialist Opportunity as a Data Analyst at UNEP!
International UN Volunteer Specialist as Data Analyst at UNEP
Onsite
Kenya
Advertisement end date:29/02/2024
General
Description of assignment title
Data Analyst
Assignment country
Kenya
Expected start date
01/04/2024
Sustainable Development Goal
9. Industry, innovation and infrastructure
Volunteer category
International UN Volunteer Specialist
Host entity
UNEP
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International UN Volunteer Specialist Opportunity Context
UN Environment is the leading global environmental authority that sets the global 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. This Data Analyst assignment is in UN Environment ‘s Corporate Services Division at the Nairobi duty station. The Enterprise Solutions Section of UN Environment’s Corporate Services Division is mandated to enable efficient UN Environment Programme delivery using ICT standards, solutions and overall business process automation supporting UN Environment’s programme of work.
It undertakes a wide range of services, activities and projects. It works closely with clients throughout the project life cycle to tailor the services to their needs ensuring that the solution meets the required objectives from a specification, resource and time perspective.
One of the workstreams within Enterprise Solutions Section is called Data Science and Engineering which aims to accelerate the adoption of advance data platforms and analytics in UNEP. Its principal initiatives include the development of an enterprise data platform to become UNEP’s single source of truth to facilitate the organization in producing reliable and timely reports, analytics, and dashboards; the development of data analytics products that leverage AI and machine learning models; and the undertaking of data and AI upskilling activities.
International UN Volunteer Specialst Opportunity Task description
Under the direct supervision of a Data Specialist in Enterprise Solutions Section/UN Environment’s Corporate Services Division, the Data Analyst will take the following tasks:
1.Development of an analytical solution for the Global Climate Fund Unit
•Draft requirements documents based on the unit needs.
•Understand/explore required datasets, assess existing dashboard, and conceptualize new or improved design and new features.
•Develop dashboard based on the requirements.
•Develop a risk management component to flag critical projects with respect to the timeline, fees consumption, etc.
•Develop a country profiles component to enable GCF team members to have an overview of ongoing and planned projects (GCF and others) in each country and perform analysis by sector and other parameters to inform project proposal design.
•Explore applications of LLMs, including prototyping a Chatbot that users can use to query the projects data and supporting them in the drafting of new project proposals.
•Provide trainings and support the GCF team in using the dashboard.
2.Assist with other data-related activities •Assist in the design and development of other data science products that requires the ap-plication of advanced analytical methods such as artificial intelligence, machine learning, predictive analytics, data and text mining, natural language processing, statistics, and use of relevant algorithms and computational approaches.
•Assist in the exploration, identification, and acquisition of data sources to determine their suitability for use in decision making and advancing the goals of the organization.
•Research on new AI and ML applications and assist in promoting the use of data science solutions through webinar and training. •Any other related tasks as may be required or assigned by the supervisor. Furthermore, UN Volunteers are encouraged to integrate the UN Volunteers programme mandate within their assignment and promote voluntary action through engagement with communities in the course of their work. As such, UN Volunteers should dedicate a part of their working time to some of the following suggested activities:
Data Analyst Eligibility criteria
Age
27 – 80
Nationality
Candidate must be a national of a country other than the country of assignment.
Data Analyst Requirements
Required experience
3 years of experience in data science, data analytics, applied mathematics, information management or related area is required. • Experience in using data and machine learning models to advance decisions and strategies is required. • Experience with SQL and Python, and with self-service analytics platforms (MS PowerBI, Qlik, Tableau or similar) is required. • Experience in tools managing version control such as Git is highly desirable. • ability to work and adapt professionally and effectively in a challenging environment; ability to work effectively in a multicultural team of international and national personnel. • self-motivated; ability to work with minimum supervision; ability to work with tight deadlines. • Have affinity with or interest in environmental issues, volunteerism as a mechanism for durable development, and the UN System.
Area(s) of expertise
Economics and finance, Engineering and construction
Driving license
–
Languages
English, Level: Fluent, Required
Required education level
Master degree or equivalent in Data Science, Mathematics, Statistics, Engineering, or any related field that includes data science in the curriculum.
Competencies and values
• Accountability • Client Orientation • Creativity • Professionalism • Technological Awareness • Working in Teams
Inclusivity statement
United Nations Volunteers is an equal opportunity programme that welcomes applications from qualified professionals. We are committed to achieving diversity in terms of gender, care protected characteristics. As part of their adherence to the values of UNV, all UN Volunteers commit themselves to combat any form of discrimination, and to promoting respect for human rights and individual dignity, without distinction of a person’s race, sex, gender identity, religion, nationality, ethnic origin, sexual orientation, disability, pregnancy, age, language, social origin or other status.
Note on Covid-19 vaccination requirements
Selected candidates for certain occupational groups may be subject to inoculation (vaccination) requirements, including against SARS-CoV-2 (Covid-19) in line with the applicable host entity policy
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