Data Analyst

Lead data systems development, analysis, and visualization for UN pooled financing.

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UNDP - United Nations Development Programme

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Application deadline 1 day ago: Friday 25 Apr 2025 at 03:59 UTC

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Overview

Lead data systems development, analysis, and visualization for UN pooled financing.

You have:

  • An advanced university degree (master’s degree or equivalent) in Economics or related field is required.
  • 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.
  • Minimum 2 years (with master’s degree) or 4 years (with bachelor’s degree) of relevant experience in data science, data analysis, and data innovation, preferably in the development field or related area is required.
  • Experience in publishing and dissemination of UN Financing data through various data systems and templates including DESA, IATI and CEB is desired.
  • Experience as a data analyst specializing in UN development and humanitarian financing, at UNHQ level is desired.
  • Experience data visualization libraries using statistical computer languages to manipulate data and draw insights from large data sets (Scala/R/Python), Stata, Power-BI and DataWrapper is desirable.
  • Knowledge and first-hand experience of UN inter-agency pooled funding mechanisms is desirable.
  • Fluency in English is required and knowledge of another United Nations language is an asset.

Contract

This is a P-2 contract. This kind of contract is known as Professional and Director staff. It is normally internationally recruited only. It's a staff contract. It usually requires 2 years of experience, depending on education.

Salary

The salary for this job should be between 101,195 USD and 137,448 USD.

Salary for a P-2 contract in New York

The international rate of 57,661 USD, with an additional 75.5% (post adjustment) at this the location, applies. Please note that depending on the location, a higher post adjustment might still result in a lower purchasing power.

Please keep in mind that the salary displayed here is an estimation by UN Talent based on the location and the type of contract. It may vary depending on the organization. The recruiter should be able to inform you about the exact salary range. In case the job description contains another salary information, please refer to this one.

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This is a Fixed Term contract. More about Fixed Term contracts.

Background

Hosted by the UN Development Programme (UNDP), the Multi-Partner Trust Fund Office (MPTF Office) is the only United Nations unit exclusively dedicated to the design and administration of multi-stakeholder pooled financing instruments. Since 2003, it has supported over 200 UN-implemented pooled funds, providing an integrated platform of inter-agency pooled fund services to help UN organizations and partners make fast and efficient progress towards collective outcomes, like the 2030 Agenda. The MPTF Office’s current portfolio is over $16 billion in total, with more than $1.8 billion per year in contributions and includes more than 150 active pooled financing mechanisms.

The MPTF Office’s trustee and fund design and administration service is a standard setter in the UN System - professionalized, highly transparent and firewalled from all UN implementing entities. The MPTF Office has put in place a number of tools and systems to support its transparent and accessible fund administration services such as its digital platform the MPTF Office Gateway. As a shared UN service provider, the MPTFO operates in a distinct and dedicated business unit. It provides an integrated service platform that, in addition to core trust fund design and administration functions, provides complementary services to users like data analytics, research administration, and knowledge management.

The office delivers services through 40 – 45 staff and personnel in the fund design and administration function and more than 50 staff and personnel in the fund secretariat function as part of a growing and dynamic office.

Position Purpose:

UNDP adopts a portfolio approach to accommodate changing business needs and leverage linkages across interventions to achieve its strategic goals. Therefore, UNDP personnel are expected to work across units, functions, teams, and projects in multidisciplinary teams to enhance and enable horizontal collaboration.

Under the supervision of the Monitoring & Evaluation Specialist, the Data Analyst leads on database management, UN finance reporting and providing data analytics support for the for the MPTF Office, and will perform the following main functions;

Duties and Responsibilities

Lead and collaborate in the development of data systems to support evidence-based strategic analysis in line with UNSDG data management standards

  • Define metrics, identify suitable data sources, and carry out data analysis to contribute to internal strategic processes in the broader pooled funding environment, including the quarterly office portfolio review meetings (QPRO).
  • Foster robust relationships and enhance collaboration with data providers, including CEB Secretariat, UN-DESA, DCO, and OECD, as well as other relevant sources, to ensure accuracy, timeliness, completeness, and consistency in data collection.
  • Lead in preparation, standardization, and integration of UN financial data from multiple providers annually.
  • Lead in updating existing data sets or creating new ones to ensure comparability and enable the production of analytic outputs, reports, and visualizations.
  • Provides technical support for data production and analysis on inter-agency pooled funding as an essential component of UN financing, including on MPTF Office pooled funding

Lead and contribute to the production of relevant data products and accompanying data analytics

  • Lead in developing tables and graphs to be used in the regular production of the “Financing the UN development system” annual report.
  • Update and customize existing data products, such as UN country-level financial overviews or contributor-specific financing reports.
  • Support other financial data-related initiatives that the MPTF Office is or may be involved in, including initiatives related to innovative SDG finance and the measurement of Funding Compact indicators.

Maintain financial flow mapping, analysis, and methodological documentation to ensure consistent data quality

  • Lead the mapping and analysis of existing UN financial flows in by thematic and geographical scope to inform the UN financing strategies for new UN inter-agency pooled funds.
  • Collaborate closely with the MPTF Office fund portfolio managers to ensure alignment with strategic objectives and consistency in reporting on financial flows.
  • Produce and maintain methodological notes and ensure the quality, accuracy, and consistency of data used in all data-related workstreams in MPTF Office and in MPTF Office partnership engagements on data.

Support the implementation of the annual UN Inter-agency pooled funds survey on common management features

  • Participate in the FMOG subgroup on pooled funds and provide information/data on UN finance, including the UN Inter-agency pooled funds annual survey, to inform decision-making.
  • Contributes to the design, administration, collection, and analysis of the UN Inter-agency pooled funds annual survey on common management features.

Support and contribute to the creation of content for data-driven communication products

  • Support M&E Specialist with the preparation of data visualizations, data stories, and analytic insights for presentations, briefings, and other communication products for engagements covering UN financing topics.
  • Develop new data products to address specific demands as needed.

The incumbent performs other duties within their functional profile as deemed necessary for the efficient functioning of the Office and the Organization

Supervisory/Managerial Responsibilities:

  • None

Competencies

Core - CoreBehaviouralCompetencies.pdf (undp.org)

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:

Data - Data Analysis

  • Ability to extract, analyze and visualize data to form meaningful insights and aid effective decision making.

Digital - Data governance

  • Knowledge of data science, skills to develop data management tools, organize and maintain databases and operate data visualization technologies

Digital - Data literacy

  • Understand the potential as well as the limitations of using data driven innovation. Ability to use a mix of data sources (quantitative, qualitative or real-time techniques) to develop understanding, identify patterns to inform decision making or identify opportunities for further exploration.

Business Management - Communication

  • Ability to communicate in a clear, concise and unambiguous manner both through written and verbal communication;
  • To tailor messages and choose communication methods depending on the audience.
  • Ability to manage communications internally and externally, through media, social media and other appropriate channels

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 other parts of the system

Partnership management - Strategic engagement

  • Ability to capture and sustain attention, interest and agreement of high-level, influential policy and decision makers and secure their buy-in of high-level vision and objectives

Business Management - Portfolio Management

  • Ability to select, prioritize and control the organization's programmes and projects in line with its strategic objectives and capacity
  • Ability to balance the implementation of change initiative with regular activities for optimal return on investment.
  • Knowledge and understanding of key principles of project, programme, and portfolio management

Required Skills and Experience

Education:

  • An advanced university degree (master’s degree or equivalent) in Economics or related 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.

Experience:

  • Minimum 2 years (with master’s degree) or 4 years (with bachelor’s degree) of relevant experience in data science, data analysis, and data innovation, preferably in the development field or related area is required.
  • Experience in publishing and dissemination of UN Financing data through various data systems and templates including DESA, IATI and CEB is desired.
  • Experience as a data analyst specializing in UN development and humanitarian financing, at UNHQ level is desired.
  • Experience data visualization libraries using statistical computer languages to manipulate data and draw insights from large data sets (Scala/R/Python), Stata, Power-BI and DataWrapper is desirable.
  • Knowledge and first-hand experience of UN inter-agency pooled funding mechanisms is desirable.

Language Requirements:

  • Fluency in English is required and
  • Knowledge of another United Nations language is an asset.

Equal opportunity

As an equal opportunity employer, UNDP values diversity as an expression of the multiplicity of nations and cultures where we operate and, as such, we encourage qualified applicants from all backgrounds to apply for roles in the organization. Our employment decisions are based on merit and suitability for the role, without discrimination.

UNDP is also committed to creating an inclusive workplace where all personnel are empowered to contribute to our mission, are valued, can thrive, and benefit from career opportunities that are open to all.

Sexual harassment, exploitation, and abuse of authority

UNDP does not tolerate harassment, sexual harassment, exploitation, discrimination and abuse of authority. All selected candidates, therefore, undergo relevant checks and are expected to adhere to the respective standards and principles.

Probation

For all new UNDP fixed term appointments (FTA), including for staff members being transferred or seconded to UNDP under the Inter-Organization Agreement concerning Transfer, Secondment or Loan of Staff, on an appointment of more than one year, continuation of the appointment beyond the initial 12 months is contingent upon the successful completion of a probationary period.

Right to select multiple candidates

UNDP reserves the right to select one or more candidates from this vacancy announcement. We may also retain applications and consider candidates applying to this post for other similar positions with UNDP at the same grade level and with similar job description, experience and educational requirements.

Scam alert

UNDP does not charge a fee at any stage of its recruitment process. For further information, please see www.undp.org/scam-alert.

Potential interview questions

Can you describe a project where you used data analysis to influence decision-making? This question assesses your practical experience in data analysis and its impact on decisions. Provide a specific example showcasing your role in data-driven decision making.
How do you ensure the accuracy and reliability of data in your analyses? This question examines your methods for maintaining data quality. Pro members can see the explanation.
What data visualization tools are you familiar with, and how have you used them? Pro members can see the explanation. Pro members can see the explanation.
Can you explain a time when you worked with multiple stakeholders to gather data? Pro members can see the explanation. Pro members can see the explanation.
How do you approach learning new data analysis techniques or tools? Pro members can see the explanation. Pro members can see the explanation.
Describe a complex data set you worked with and how you derived insights from it. Pro members can see the explanation. Pro members can see the explanation.
What challenges have you faced in data reporting, and how did you overcome them? Pro members can see the explanation. Pro members can see the explanation.
How do you prioritize data projects when you have multiple deadlines? Pro members can see the explanation. Pro members can see the explanation.
Added 11 days ago - Updated 1 day ago - Source: jobs.undp.org