Data Analyst

Contract

This is a UNV International Specialist contract. This kind of contract is known as International UN Volunteer. It is normally internationally recruited only. More about UNV International Specialist contracts.

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 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.

Under the direct supervision of a Data Specialist in Enterprise Solutions Section/UN Environment's Corporate Services Division, the UN Volunteer 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: •Strengthen their knowledge and understanding of the concept of volunteerism by reading relevant UNV and external publications and take active part in UNV activities (for instance in events that mark International Volunteer Day). •Be acquainted with and build on traditional and/or local forms of volunteerism in the host country. •Provide annual and end of assignment self-reports on UN Volunteer actions, results, and opportunities.
•Contribute articles/write-ups on field experiences and submit them for UNV publications/websites, newsletters, press releases, etc. •Assist with the UNV Buddy Programme for newly arrived UN Volunteers. •Promote or advise local groups in the use of online volunteering or encourage relevant local individuals and organizations to use the UNV Online Volunteering service whenever technically possible.

• Accountability • Client Orientation • Creativity • Professionalism • Technological Awareness • Working in Teams

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.

The Republic of Kenya is an equatorial nation on the coast of East Africa, neighboring Somalia, Ethiopia, Sudan, Uganda, Tanzania, and the Indian Ocean. Kenya has two levels of Government; National Government and 47 sub-national Governments called Counties. Counties are further divided into sub-counties. Kenya is a multi-party state with Executive, Legislative, and Judicial branches. Kenya’s population of more than 40 million is growing at an annual rate of 2.2%. The country’s GNP per capita estimated at purchasing power parity (PPP) is $975, and the GNP is growing at an average rate of 0.1% annually. More than 26% of Kenya’s people live below the international poverty line of $1 per day. Kenya’s main food crops are “maize, wheat, pulses, roots and tubers.” (FAO).

Nairobi is a modern metropolitan city where most basic goods and services, health facilities, public transport, telecommunication and banking services and educational facilities are readily available. The city is widely connected through its main airport, Jomo Kenyatta International Airport and the smaller Wilson Airport. Air transport is also available to many up-country destinations. The city is home to some 3,000 UN personnel mainly attributed to the fact that it serves as the headquarters for both the UN HABITAT and UNEP.

The socio-economic and cultural background of the immediate society the UNV would be living and working in is diverse and prevailing security conditions at the place of assignment is modest. The topographic and climatic features of the assignment location is highland cool and warm tropical climate.

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