Address
Form of work
SalaryOffice/Unit/Project Description
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 Global Policy Network (GPN) 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. Anchored in the Crisis Bureau (CB) and the Bureau for Policy and Programme Support (BPPS), the GPN has the responsibility for developing all relevant policy and guidance to support the results of UNDP’s Strategic Plan, which is aligned with the 2030 Agenda Sustainable Development Goals (SDG).
An SDG Integration Team located with UNDP’s Global Policy Network (GPN) offers a menu of services emphasizing direct short- to medium-term engagements to respond rapidly to requests from country offices 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, social media to identify emerging trends and gain new perspectives on issues in development.
Under the guidance of the Global Policy Advisor of the SDG Integration Bureau for Policy and Programme Support/Global Policy Network, the Data Visualization Analyst will support the Integration Team’s work on visual storytelling using data to strengthen the identification of emerging trends, improve understanding of evolving development issues and lead to the design of better development solutions.
- Use data visualisation tools (Power BI, Tableau, Flourish, D3 and others) to support the development of interactive visualisations and digital products.
- Create visually appealing interface designs and prototypes that align with industry best practices and UNDP brand guidelines.
- Collaborate with product managers, developers, and stakeholders to ensure design feasibility and user-centered design implementation.
- Organise and visualise raw data, aggregated data, insight data, and machine learning model data
- Develop infographics through sourcing data and produce storyboards on selected issues related to poverty, inequality, and inclusive and sustainable growth;
- Work closely with “clients” - i.e. thematic teams and Country Offices - to generate visualizations and insights on specific topics using both primary and secondary data;
- Lead on decision making regarding selection of tools, presentation and approach for each activity based on client objectives, data sources and audience.
Institutional Arrangement
- The Data Visualization Analyst will work from home;
- S/he will report to, and be directly supervised by the Global Policy Advisor of the SDG Integration Bureau for Policy and Programme Support/Global Policy Network.
- S/he will be given access to relevant information necessary for the execution of the tasks under this assignment;
- S/he will be responsible for providing her/his own workstation (i.e. laptop, internet, phone, scanner/printer, etc.) and must have access to reliable internet connection;
- Given the global consultations to be undertaken during this assignment, the Analyst is expected to be reasonably flexible with his/her availability for such consultations taking into consideration different time zones;
People Management (Insert below standard sentence if the position has direct reports.)
UNDP People Management Competencies can be found in the dedicated site.
Cross-Functional & Technical competencies (insert up to 7 competencies)
Ability to present data, insights or information in
compelling ways to mobilise resources, talent or
action.
Solving problems by putting people at the centre,
visualising ideas and making them tangible in order to
improve them through and iterative process of
developing and testing
Ability to design, lead or manage processes that help
a collective to become smarter together by bringing
together diverse groups of people, data, and
technology.
Ability to create digital products that provide an
engaging and relevant experience to users
Ability to inspect, cleanse, transform and model data Zith the goal of discoYering
useful information, informing conclusions and supporting decision-making
Ability to select, prioritise and control the organi]ation¶s programmes and projects, in
line with its strategic objectives and capacity; ability to balance the implementation of
change initiatives and the maintenance of business-as-usual, while optimising return
on investment
Master’s degree in a design, computer science, or relevant field (required)
Bachelor’s degree with additional two years of experience may be taken into consideration in lieu of Master’s degree.
- Experience organising and visualising data for analysis, insights and storytelling;
- In-depth knowledge and skills using data visualisation tool/s, such as Power BI, Tableau, Flourish, D3 or others;
- Proven experience as a UI/UX designer or similar role, with a strong portfolio showcasing a range of design projects.
- Proficiency in industry-standard design tools such as Figma, or similar.
- Strong visual design skills, including typography, color theory, and layout composition.Familiarity running data viz projects from start to end, including requirements gathering, feedback sessions, assessing data, advising on different options for automation and tool choice, presenting to clients, project planning.
- Experience working with and analysing socioeconomic data;
- Ability to solve complex business problems using analytical approaches, data, and a strong passion for empirical research;
- Ability to facilitate data analysis sessions with statisticians, economists and policy experts.
