Data Specialist, P4 at United Nations Environment Programme (UNEP)

This post is located in UNEP’s Corporate Services Division, Enterprise Solutions Section (ESS) at the Nairobi duty station. ESS undertakes a wide range of services, activities and projects. It works closely with internal 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 major activities that ESS is currently undertaking is the delivery of 6 digital readiness priorities contributing to the UNEP Digital Transformation Sub-Programme that was recently adopted by the UNEP Senior Management Team.

Under the guidance of the Chief of the Section, the incumbent will be actively taking part in delivering the digital readiness priorities with focus on generating and communicating data-driven analyses in support of decision-making processes, support strategy development, and manage strategy execution. Duties include:

Responsibilities

1. Translating organizational needs into analytics and reporting requirements, including interactive dashboards, to support decisions, strategies and workflows with data and information.
2. Identifying, analyzing, and interpreting trends or patterns, using business intelligence tools, machine learning techniques, statistical methods to identify relevant features and variables in structured and unstructured sources of information and data.
3. Overseeing and allocating resources to the building of analysis, reporting and quality control capabilities, including the management of a local data warehouse.
4. Conducting full data analytics lifecycle analysis, including data requirements, activities and design.
5. Ensuring technically sound and secure execution of data analytics projects.
6. Collaborating with colleagues across departments to identify data analytics needs and support data-driven projects.
7. Translating immediate requirements into prototype solutions and overseeing their subsequent full implementation.
8. Keeping track of trends and developments in data analytics best practices, tools, etc.

Competencies

1. PROFESSIONALISM: Excellent analytical skills with the ability to collect, organize, manage, and disseminate significant amounts of information with attention to detail and accuracy. The ability to analyze, model and interpret data in support of decision-making. Adept at queries, report writing and presenting findings. The ability to oversee and quality-check work completed by other team members. Takes pride in the work for the organization and understands the impact that can be brought into the organization by allowing data-driven and evidence-based decisions. Ability to apply judgment in the context of assignments given, plan own work and manage conflicting priorities. 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.
2. TEAMWORK: Works collaboratively with colleagues to achieve organizational goals; solicits input by genuinely valuing others’ ideas and expertise; is willing to learn from others; places team agenda before personal agenda; supports and acts in accordance with final group decision, even when such decisions may not entirely reflect own position; shares credit for team accomplishments and accepts joint responsibility for team shortcomings.
3. 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.

Education

1. 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. A first-level university degree in combination with two additional years of qualifying work experience may be accepted in lieu of the advanced university degree.

Work Experience

1. 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.
2. 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.
3. Experience in identifying, processing, and using data to advance decisions, strategies and execution is required.
4. Experience with database or programming languages (such as SQL, Python, R, JavaScript, Java) is required.
5. Experience in tools managing version control such as Git is desirable.

Languages

1. English and French are the working languages of the United Nations Secretariat. For the position advertised, fluency in oral and written English is required. Knowledge of French is desirable.
2. Knowledge of another official United Nations language is an advantage.

NOTE: "fluency equals a rating of "fluent" in all four areas (read, write, speak, understand) and "knowledge of" equals a rating of "confident" in two of the four areas.

Assessment
Evaluation of qualified candidates may include an assessment exercise which will be followed by competency-based interview

DEADLINE : 17th March 2022