Antecedentes

The UN Reform Resolution tasks UNDP to provide countries with an “integrator function” to accelerate progress towards the SDGs by tackling multiple interlinked and interdependent development challenges. The UNDP Cameroon Country Office draws on expertise globally to provide more effective responses to the complex development challenges countries face in achieving the SDGs and responding to crisis in an integrated and coherent manner.

The CO offers a menu of services emphasizing direct short- to medium-term engagements to respond rapidly to requests from government for support on national implementation and monitoring of integrated policy solutions, qualitative and evidence-driven analysis for accelerated progress, and knowledge sharing and upscaling of innovative approaches to sustainable development. The team’s work emphasizes the application of evidence-driven data and analytics for SDG implementation and reporting.

In this regard, advances in digital technology are creating data at unprecedented levels of detail and speed, turning the stories of people’s lives into numbers every minute of every day, across the globe. An important focus of the integration work is to complement traditional data (e.g., national statistics, NHDR like analysis) with new and alternative sources including digital ‘breadcrumbs,’ satellite data, and social media to identify emerging trends and gain new perspectives on issues in development.

Deberes y responsabilidades

TRACK 1: INTEGRATED POLICY

  • Supporting the enablement of peer support by assisting the organization of workshops and events, including trainings, e-discussions, consultations related to UN inter-governmental processes relating to the 2030 Agenda for Sustainable Development,
  • Supporting the co-creation of knowledge as well as the mobilization of existing knowledge on the practice of integrated policy and the implications for the SDGs.
  • Supporting the showcasing of concrete applications of integrated policy support and lessons learned by assisting the development of policy papers, studies, reports, blogs, insights stories, newsletters.

TRACK 2: MICROECONOMIC MODELLING AND ANALYSIS

  • Assist in analyzing recent and on-going changes in development indicators.
  • Support the development of micro econometric models and respective analysis to assess the impact of various development policies/interventions on the specific outcomes.
  • Identify, organize and add micro and sectoral data, particularly from developing countries to existing databases.
  • Support the update of social account matrixes (SAM) and further development of structural econometric and general equilibrium models.
  • Support drafting of different documents (e.g. reports, briefs and concept notes).

TRACK 3: MACROECONOMIC MODELLING AND ANALYSIS

  • Assist in analysing recent and on-going changes in development indicators.
  • Support the development of macro econometric models and respective analysis to assess the impact of various development policies/interventions on the specific outcomes.
  • Identify, organize and add macro and sectoral data, particularly from developing countries to existing databases.
  • Support the update of social account matrixes (SAM) and further development of structural econometric and general equilibrium models.
  • Support drafting of different documents (e.g. reports, briefs and concept notes).

TRACK 4: DATA VISUALIZATION

  • Present visual concepts and ideas in a compelling and attractive manner;
  • Assist with design and development of data visualization;
  • Research, identify, and test tools and resources to support analysis of various data sources;
  • Collaborate with the team to collect and analyse data
  • Generate infographics to support decision makers in their understanding workflows;
  • Participate in information management discussions and assist in the design of data visualization guidelines;
  • Create branding material and engaging visual products in accordance with UN design standards and policies on schedule and delivered in a timely manner;
  • Other activities and special projects as assigned

TRACK 5: DATA SCIENCE

  • Perform methodological and domain-specific research to support data science projects.
  • Assist with the collection, cleaning, and preprocessing of large sets of data, including structured data, web data, text, and social media data.
  • Build, test, and deploy Natural Language Processing (NLP) and Machine Learning (ML) models for portfolio and project analytics under the guidance of senior data scientists.
  • Create visualizations to communicate findings and prepare documentation and presentations to share progress and insights.

Competencias

- Core Competencies

  • Achieve Results:

            LEVEL 1: Plans and monitors own work, pays attention to details, delivers quality work by deadline.

  • Think Innovatively:

            LEVEL 1: Open to creative ideas/known risks, is pragmatic problem solver, makes improvements.

  • Learn Continuously

            LEVEL 1: Open minded and curious, shares knowledge, learns from mistakes, asks for feedback.

  • Adapt with Agility

            LEVEL 1: Adapts to change, constructively handles ambiguity/uncertainty, is flexible.

  • Act with Determination LEVEL 1: Shows drive and motivation, able to deliver calmly in face of adversity, confident.
  • Engage and Partner

            LEVEL 1: Demonstrates compassion/understanding towards others, forms positive relationships.

  • Enable Diversity and Inclusion  

      LEVEL 1: Appreciate/respect differences, aware of unconscious bias, confront discrimination.

 

- Cross-Functional & Technical competencies (insert up to 7 competencies)

  • Ethics   UN policy knowledge - ethics     Ethics UN policy knowledge - ethics Knowledge and understanding of the UN Staff Regulations and Rules and other policies relating to ethics and integrity
  • Digital & Innovation       Data analysis    Ability to extract, analyse and visualize data (including Real-Time Data) to form meaningful insights and aid effective decision making
  • Digital & Innovation       Data collection  Being skilled in Data Sorting, Data Cleaning, Survey Administration, Presentation and Reporting including collection of Real-Time Data (e.g. mobile data, satellite data, sensor data).
  • Digital & Innovation       Data strategy & management    Knowledge to draft or execute a data strategy or a data management framework

- Key words

Communication

Client Orientation

Innovation

Ethics and Integrity

Habilidades y experiencia requeridas

- Education

Minimum a student in master’s degree or equivalent in Data Science, Computer Science, Math, Engineering, Economics, Statistics or any related fields

Proof of a valid school registration will be required.

- Experience, Knowledge, and Skills

  • Minimum of 06 months of professional experience in Data Science, Computer Science, Math, Engineering, Economics, Statistics, or any related fields
  • Knowledge of SDG implementation at national level;
  • Experience with data and statistical analysis will be an asset;
  • Knowledge and a proficient user of Microsoft Office productivity tools; 
  • Knowledge of data analytics and visualization tools, SQL, Python, Tableau, R, Power BI, and similar tools;
  • Knowledge in Data science and Artificial Intelligence will be an asset
  • Fluency in French and English required. Knowledge of other UN languages is an advantage, it is not a requirement
  • Knowledge of Gender