Data Analytics and Product Specialist Home-based (Open to tier 0, 1 and 2 candidates)

UNDP • New York, NY

5h • Remote

About The Position

UNDP is the knowledge frontier organization for sustainable development in the
UN Development System and serves as the integrator for collective action to
realize the Sustainable Development Goals (SDGs). UNDP’s policy work carried out
at HQ, Regional and Country Office levels, forms a contiguous spectrum of deep
local knowledge to cutting-edge global perspectives and advocacy. In this
context, UNDP invests in the Global Policy Network (GPN), a network of
field-based and global technical expertise across a wide range of knowledge
domains and in support of the signature solutions and organizational
capabilities envisioned in the Strategic Plan. Within the GPN, the Crisis Bureau
guides UNDP’s corporate crisis-related strategies and vision for crisis
prevention, response and recovery.

One of the areas of responsibility of UNDP’s Crisis Bureau is to ensure that
UNDP is well positioned to anticipate and to respond in the timeliest and most
effective manner to crisis, primarily regarding sudden onset crises and complex
protracted crises, triggered by disasters, armed conflicts, and health crises
alike.

The UNDP Crisis Bureau continues to enhance its data-driven analysis and
prevention efforts through its Risk Anticipation Hub. The Risk Anticipation Hub
has been further developed as the Crisis Risk Unit (CRU), which aims to advance
UNDP’s value proposition by transforming developmental work through the
application of a risk lens. This involves developing key services and products
to support UNDP country offices and external audiences, particularly the UN
Country Teams and governments, in their risk-informed decision-making, planning,
and programming. Key products include the development and implementation of
Crisis Risk Dashboards (CRDs), the Risk Anticipation Datahub (RAD), INFORM
Warning and other initiatives designed to strengthen forward-looking approaches
to crisis and fragility.  CRD is UNDP’s integrated, forward-looking risk
analytics platform designed to support risk informed programming, while RAD is a
public facing data platform that aggregates and visualizes multidimensional risk
information to enhance anticipatory action and is scheduled for launch in early
2026.INFORM Warning will be an open system to aggregate and present quantified,
multi-hazard information to support crisis preparedness and anticipatory action.
It will present reliable, quantified, multi-hazard information that warns about
risk trends, forecasts, scenarios and events that could lead to crisis impacts
in the next 12 months and can be easily used to support decisions on
preparedness and anticipatory action. looking risk analytics platform designed
to support risk informed programming, while RAD is a public facing data platform
that aggregates and visualizes multidimensional risk information to enhance
anticipatory action and is scheduled for launch in early 2026

In this context, the Research, Analytics, Learning and Innovation Team (RALI) is
seeking a Data Analytics and Product Specialist to support the organization's
capacities in data science, analytics and visualization as key decision
intelligence to inform time-critial programmatic and operational
decisions.
Specialist will be responsible for the following:

Requirements

• Advanced university degree (master's degree or equivalent) in Political Science, International Relations, Data Science, Computer Science, Information Systems, or related quantitative social science field is required; or  A first-level university degree (bachelor’s degree) in the areas mentioned above in combination with an additional two years of qualifying experience will be given due consideration in lieu of the advanced university degree.
• A minimum of 5 years (with master’s degree) or 7 years (with bachelor’s degree) of progressively responsible professional and/or academic experience in data analytics, data science, visualization (Power BI, Tableau), data base management, and applied analytics in international development or humanitarian contexts.
• Demonstrated track record of excellence in developing tools and mechanisms on data analytics in international development or humanitarian context as well as relevant experience within UNDP or the UN system;
• Demonstrated experience in designing and delivering data products or analytics tools, with a strong understanding of user requirements and information product design;
• Achieve Results: LEVEL 3: Set and align challenging, achievable objectives for multiple projects, have lasting impact
• Think Innovatively: LEVEL 3: Proactively mitigate potential risks, develop new ideas to solve complex problems
• Learn Continuously: LEVEL 3: Create and act on opportunities to expand horizons, diversify experiences Adapt with Agility: LEVEL 3: Proactively initiate and champion change, manage multiple competing demands
• Act with Determination:  LEVEL 3: Think beyond immediate task/barriers and take action to achieve greater results Engage and Partner: LEVEL 3: Political savvy, navigate complex landscape, champion inter-agency collaboration
• Enable Diversity and Inclusion: LEVEL 3: Appreciate benefits of diverse workforce and champion inclusivity
• Business Development Collective Intelligence Design: Ability to bring together diverse groups of people, data, information, ideas, and technology to solve problems and design solutions or services.
• Knowledge and understanding of Collective Intelligence Design principles, methodology and practices.
• Business Management Project Management: Ability to plan, organize, prioritize and control resources, procedures and protocols to achieve specific goals.
• Digital  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  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  Co-Creation Ability to design and facilitate a process that enables a diverse group of stakeholders to solve a common problem, develop a practice, or create knowledge together.  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.
• Ability to facilitate processes and create conditions that are open for diverse inputs, stimulate collaboration and sharing.
• Business Direction and Strategy  System Thinking  Ability to use objective problem analysis and judgement to understand how interrelated elements coexist within an overall process or system, and to consider how altering one element can impact on other parts of the system 2030 Agenda: Engagement and Effectiveness Crisis and Fragility Policy and Engagement Crisis Assessment
• Fluency in English is required.

Nice To Haves

• Experience in data collection, preprocessing, and harmonization, particularly in relation to humanitarian, climate, and conflict event data (e.g., ACLED, UCDP, IPC/CH, EM-DAT)
• Experience and solid understanding of data architecture, governance, and integration of multiple data sources (quantitative and qualitative).
• Demonstrated ability to conduct data collection, data manipulation and cleaning using various methods;
• Demonstrated ability to conduct advanced data analytics, statistical modeling and AI application;
• Demonstrated track record of communication and presentation skills, including the ability to translate complex technical and analytical concepts into clear, actionable insights for non-technical audiences.
• Experience in preparing briefs, presentations and facilitating workshops and training.
• Experience and understanding of theories, concepts and approaches relevant to the management of information in an international development or humanitarian context;
• Demonstrated ability to quickly establish and maintain effective working relations with people of different cultural backgrounds and languages;
• Proficiency in the use of information management tools, particularly Tableau, Microsoft Power BI, Microsoft SQL, AI and other relevant analytics tools;
• Familiarity with geospatial data and tools such as GeoPandas, ArcGIS, or QGIS
• Working knowledge of another UN language is desired.

Responsibilities

• Lead technical product and project management of the data analytics platforms
• Lead the design and application of methodologies and applications for data-driven multidimensional risk analytics
• Provision of expert advice on data governance
• Ensure Coordination, Collaboration, Networking,  Capacity Building and Knowledge Sharing
• The incumbent performs other duties within their functional profile as deemed necessary for the efficient functioning of the Office and the Organization

What This Job Offers

• Career Level: Mid Level