Background
Diversity, Equity and Inclusion are core principles at UNDP: we value diversity as an expression of the multiplicity of nations and cultures where we operate, we foster inclusion as a way of ensuring all personnel are empowered to contribute to our mission, and we ensure equity and fairness in all our actions. Taking a ‘leave no one behind’ approach to our diversity efforts means increasing representation of underserved populations. People who identify as belonging to marginalized or excluded populations are strongly encouraged to apply. Learn more about working at UNDP including our values and inspiring stories. UNDP does not tolerate sexual exploitation and abuse, any kind of harassment, including sexual harassment, and discrimination. All selected candidates will, therefore, undergo rigorous reference and background checks. Organizational contextUNDP works with countries to expand people’s choices for a fairer, sustainable future. UNDP’s Strategic Plan 2022-25 aims to build a more agile, anticipatory UNDP that embraces complexity, actively manages risk, continually adapts and seeks to learn alongside delivering results. The Strategy and Futures (S&F) Team in the Executive Office supports the UNDP Administrator in building a more agile, anticipatory UNDP, alert to the trends and changes of an uncertain world and ready to respond to many different futures.
The S&F Team is responsible for two pillars of work: strategy and futures. Both pillars intersect and help inform each other. The strategy pillar is responsible for shepherding the Strategic Plan and for providing direction to the corporate systems that underpin our planning and reporting. This includes developing the organization’s strategic plans and driving the midterm review of the plans. The futures pillar’s focus is to connect, cohere and amplify the various futures efforts across UNDP, linking people and resources of knowledge and experience into and to establish a futures ecosystem, enabling UNDP to achieve stronger development impact.
The Strategy and Foresight Data Specialist will be part of the S&F Team. The successful candidate will provide analytical and research support to the S&F Team. They will be required to work closely with members of the S&F Team, other units in the Executive Office and the broader organization.
Duties and Responsibilities
The Strategy and Foresight Data Specialist will be responsible for the following functions:
- Data analysis/analytical problem solving
- Data visualization
- Data management
- Knowledge creation, communication and reporting
Data analysis/analytical problem solving
- Ability to use machine learning and network analysis to uncover emerging trends, promising technologies and interventions that will shape our future.
- Ability to mine large amounts of data, including financial, qualitative and quantitative, using analytical approaches, data, and a strong passion for empirical research
- Ability to identify insights by triangulating quantitative and qualitative data and evidence
- Ability to evaluate, transform and model data to derive relevant findings
- Develop algorithms for supervised and unsupervised machine learning for mixed dataset analytics. This includes automated tagging of text and topic modelling using narrative from various sources and formats.
- Incorporate the machine learning analytics, natural language processing and other algorithms based on relevant data from various UNDP sources, including monitoring and results frameworks, project documents and qualitative analysis texts and documents.
Data visualization
- Ability to use Data Visualization (Power BI, Tableau, JS Libraries) to support development of analytic functionality and presentation.
- Produce, and collaborate with graphic designers to develop, clear infographics of complex information through sourcing data and drafting story boards on selected issues related to the development of the UNDP Strategic Plan.
- Work with selected colleagues across UNDP to generate insights and provide support to data visualization
Data management
- Ability to use - and support the team’s use of - Data Management tools (e.g., Airtable, Microsoft Access/Excel, and Google Sheets/Forms), to enable data sourcing, analysis and presentation processes.
Knowledge creation, communication and reporting
- Coordinate with designers and communication specialists to prepare content for external publication
- Regularly provide clear updates on analysis, methods, progress, challenges,
- Assist in preparing impactful and high-quality reports, presentations, and internal and external briefings
Institutional Arrangement
The Strategy and Foresight Data Specialist reports to the Strategy Lead in the Executive Office’s Strategy and Futures Team .
Competencies
Core | |
Achieve Results: | LEVEL 4: Prioritize team workflow, mobilize resources, drive scalable results/strategic impact |
Think Innovatively: | LEVEL 4: Easily navigate complexity, encourage/enable radical innovation, has foresight |
Learn Continuously: | LEVEL 4: Create systems and processes that enable learning and development for all |
Act with Determination: | LEVEL 4: Able to make difficult decisions in challenging situations, inspire confidence |
Engage and Partner: | LEVEL 4: Construct strategic multi-partner alliances in high stake situations, foster co-creation |
Cross-Functional & Technical competencies Thematic Area | Name | Definition | 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 governance | Knowledge of data science, skills to develop data management tools, organize and maintain databases and operate data visualization technologies | Digital & Innovation | Data Engineering | Ability in programming languages such as SQL, Python, and R, be adept at finding warehousing solutions, and using ETL (Extract, Transfer, Load) tools, and understanding basic machine learning and algorithms. | Digital & Innovation | Data storytelling and communications | Skilled in building a narrative around a set of data and its accompanying visualizations to help convey the meaning of that data in a powerful and compelling fashion. | Digital & Innovation | Data strategy and management | Knowledge to draft or execute a data strategy or a data management framework | Digital & Innovation | Co-creation | Ability to embrace diversity, work with a diverse group of stakeholders understand their interests, perspectives and views and tap into to them as a source for creativity. | Digital & Innovation | Systems Thinking & Transformation | - Understand that complex problems need a non- reductionistic, holistic approach.
- Ability to explore challenges from multiple perspectives by zooming in and out, with a focus on relationships and flows rather than individual elements; understand how certain dynamics and conditions are driving and influencing an issue.
- Ability to develop a collective understanding by a mapping systems and their dynamics (e.g. flows or resources, information; power relations); is able to handle ambiguity and can help others navigate it.
- Being able to identify intervention points to leverage change and system transformation by setting out a coherent collection of multiple interventions to probe the system for desirable effects.
- Understand that change is non-linear and unpredictable; being comfortable and able to work with emergence.
| Knowledge Generation | Knowledge Generation | - Ability to research and turn information into useful knowledge, relevant for content or responsive to a stated need
| Strategic Thinking | Strategic Thinking | - Ability to develop effective strategies and prioritized plans in line with UNDP’s objectives, based on the systemic analysis of challenges, potential risks and opportunities; linking the vision to reality on the ground, and creating tangible solutions
- Ability to leverage learning from a variety of sources to anticipate and respond to future trends; to demonstrate foresight in order to model what future developments and possible ways forward look like for UNDP
| Effective Decision Making | Effective Decision Making | Ability to take decisions in a timely and efficient manner in line with one’s authority, area of expertise and resources | | |
Required Skills and Experience Min. Academic Requirements | Master’s degree in in fields related to Computer Science, Management Information Systems, Data Science, Social Sciences, or equivalent field A first-level university degree in combination with two additional years of qualifying experience may be accepted in lieu of the advanced university degree. |
Min. years of relevant Work experience | - At least 7 years of professional experience in data management, applied science, statistics, information systems, or another analytical field.
- Experience in supporting Digital Product development
- Strong data analysis and data management skills
- Clear and concise writing
- Excellent research, analysis, and critical thinking
- Excellent communication skills
- Ability to review and analyse broad and complex information and capture and convey insights in a clear and succinct way including for senior stakeholders
- Highly collaborative and a team player
- Highly curious, creative outlook, excited to explore new topics, tasks and opportunities
- Data visualization skills with Power BI and/or other business intelligence systems is a must
- Experience using natural language process algorithms is a must
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Required skills | - Coordination
- Research
- Knowledge management
- Strategic foresight
- Strong communication and interpersonal skills
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Desired skills in addition to the competencies covered in the Competencies section | - Knowledge of Visual Basic is an asset.
- Knowledge of programming language (Python, C, SQL, etc.), and/or any other analytical tools is an asset.
- Knowledge on machine learning algorithms and application of machine learning to data analytics is an asset.
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Required Language(s) | Fluency in English. Written and spoken knowledge of an additional UN language is desirable. |
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