The United Nations Environment Programme (UN Environment) is the leading global environmental authority that sets the world's 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 environment.
Responsibilities
This position is located in the UNEP Digital Transformations Unit at the Nairobi duty station. Within the UNEP regional office, the incumbent will be responsible for the following duties:
Translate organizational needs into analytics and reporting requirements to support decisions, strategies and workflows with data and information, including from UNEP's World Environment Situation Room and other relevant data platforms.
Identify, analyze, and interpret environmental trends or patterns, using machine learning techniques, statistical methods to identify relevant features and variables in structured and unstructured sources of information and data
Oversee and allocate resources to the building of analysis, reporting and quality control capabilities
Ensure technically sound execution of data analytics projects and facilitate data sharing with UNEP¿s World Environment Situation Room.
Collaborate with colleagues across divisions and within the Digital Accelerator Lab to identify data analytics needs and support data-driven projects.
Translate immediate requirements into prototype solutions and oversee their subsequent full implementation
Keep track of trends and developments in data analytics best practices, tools, etc.
Deliver analysis to UN Country Teams and Common Country Assessments (CCAs) on environmental trends and opportunities to harness digital technologies for environmental sustainability.
Liaise with digital stakeholders in the region to understand environmental needs and receive feedback on UNEP data platforms and related digital products and services.
Deliver trainings on data, digital technologies and related innovations linked to environmental sustainability.
Collects and analyzes data to identify trends or patterns and provide insights through graphs, charts, tables and reports using data visualization methods to enable data-driven planning, decision-making, presentation and reporting.
Perform other duties as may be assigned.
Competencies
PROFESSIONALISM: Knowledge to turn data into information, information into insight and insight into business decisions. Ability to Translate organizational needs into analytics and reporting requirements to support decisions, strategies and workflows with data and information, including from UNEPs World Environment Situation Room and other relevant data platforms The ability to analyze and interpret data in support of decision-making and convey resulting information to management. 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.
CREATIVITY: Actively seeks to improve programmes or services. Offers new and different options to solve problems or meet client needs. Promotes and persuades others to consider new ideas. Takes calculated risks on new and unusual ideas; thinks "outside the box." Takes an interest in new ideas and new ways of doing things. Is not bound by current thinking or traditional approaches.
TECHNOLOGICAL AWARENESS: Keeps abreast of available technology. Understands applicability and limitations of technology to the work of the office. Actively seeks to apply technology to appropriate tasks. Shows willingness to learn new technology.
Education
Advanced university degree (Master's degree or equivalent) in computer science, data science, analytics, statistics, information management, public administration, management or a related field is required. Additional university level training in environmental science is desirable. A first-level university degree in combination with two (2) additional years of qualifying experience may be accepted in lieu of the advanced university degree. '
Successful completion of both degree and non-degree programs in data analytics, business analytics or data science programs is desirable.
Work Experience
A minimum of seven (7) years of progressively responsible experience in applied analytics, business intelligence, information management, statistics, project management, stakeholder management or related area is required.
Experience in using data to advance decisions, strategies and execution with regard to environmental sustainability is required.
Experience with self-service analytics and data visualization applications (MS PowerBI, Qlik, Tableau or similar), or business intelligence tools (SAP Business Objects, etc.) is required
Experience in tools managing version control such as Git is desirable.
Experience with database or programming languages (SQL, Python, R) is desirable.
Experience with Geographic Information Systems and related software packages (ARC GIS, QGIS) is desirable.
A minimum of two (2) years or more of experience in data analytics or related area is desirable
Source link
