Management Data Analyst - [Open to Tier 0, 1, and 2 applicants]

Tiered Approach

In line with the commitment to safeguard capacity and support personnel already in the Organization, a majority of UNDP UNCDF/UNV vacancies are advertised using a tiered application process whereby:

Tier 0: UNDP/UNCDF/UNV IP staff holding permanent (PA) and fixed-term (FTA) appointments, whose posts will be abolished, or contracts will be terminated or not renewed during 2026.

Tier 1: Other UNDP/UNCDF/UNV staff holding permanent (PA) and fixed-term (FTA) appointments

Tier 2: UNDP/UNCDF/UNV staff holding temporary appointments (TA), personnel on regular PSA contracts, and Expert and Specialist UN Volunteers

Tier 3 or no tier indicated: All other contract types from UNDP/UNCDF/UNV and other agencies, and other external candidates

Please make note of the Tier(s) indicated in the vacancy title, if any, and ensure that you satisfy the eligibility to apply.

Background

Within UNDP’s Bureau for Management Services (BMS), the Office of Human Resources (OHR), is the Management Consulting Team (MCT), which is constituted of a group of management consulting practitioners available on request to support UNDP offices and units worldwide to improve strategic and organizational effectiveness in line with UNDP’s Strategic Plan and corporate investments in organizational effectiveness and agility. This group is anchored by a core team of management advisors and consultants based in Bonn, who coordinate and deliver management consulting services globally in a participatory manner

Position Purpose

Under the guidance and supervision of the Chief of the Management Consulting Team (MCT), the Management Data Analyst is expected to contribute to support overall organizational effectiveness by making substantive contributions to MCT advisory engagements with internal and external stakeholders, including country offices and headquarters units. The Management Data Analyst undertakes research, data collection, and data analysis; develops data analysis tools and applications; manages databases and data platforms; supports internal coordination and knowledge management; and participates in all MCT engagements using a client, quality, and results-oriented approach. The Management Data Analyst works in close collaboration with the team members in developing content and in the delivery of organizational effectiveness advisory services.

UNDP adopts a portfolio approach to accommodate changing business needs and leverage linkages across interventions to achieve its strategic goals. This is a recognition of the interconnected nature of development risks & crises that the world is facing and that call for assembling of multidisciplinary teams for an integrated & systemic response. Therefore, UNDP personnel are expected to work across issues, units, functions, teams and projects in multidisciplinary teams in order to enhance and enable horizontal collaboration

Key Duties and Responsibilities

1. Undertake research, data collection, and analysis in support of UNDP’s organizational effectiveness focusing on achievement of the following results:

  • Undertake research, data collection, and analysis related to organizational performance, organizational effectiveness, and business process reviews;
  • Undertake end-to-end data analysis workflows from data collection, data wrangling, data exploration, data modelling, data analysis, data communication, and visualization;
  • Create and maintain databases, dashboards, and data management workflows in coordination with BMS/ITM as applicable;
  • Develop methodologies, tools, and software applications related to data analysis and organizational performance;
  • Make continuous improvements to organizational performance analytics; and
  • Support forward-looking analysis on organizational performance to highlight opportunities for MCT engagements.

2. Participate in client advisory engagements and make contributions in support of business transformation engagements focusing on the achievement of the following results:

  • Undertake research, data collection, analysis and visualization of information from diverse sources in support of MCT client engagements, including financial modelling and statistical analysis;
  • Support development of technical proposals, business cases, and implementation plans/roadmaps;
  • Support preparation for and participate in interviews, focus groups and workshops as required;
  • Support drafting of written outputs and end-of-engagement reports, as required;
  • Follow up with engagement clients on recommendations, as required; and
  • Proactively seek, analyze, and apply data sets relevant for MCT engagements.

3. Support data/knowledge management and coordination:

  • Maintain MCT’s data and knowledge platforms, including dashboards;
  • Develop and maintain MCT’s codebase, database, and data management tools and workflows
  • Contribute to the development of templates and standard operating procedures;
  • Perform administrative support functions to ensure smooth operations; and
  • Support internal coordination, communication, and knowledge management efforts.

Competencies

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 a 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 the 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

  • Digital & Innovation — Data collection: Being skilled in Data Sorting, Data Cleaning, Survey Administration, Presentation and Reporting, including collection of Real-Time Data
  • Business Management — Business Analysis: Ability to analyse business processes, business requirements, and identify and define solutions that will maximize the value delivered by an organization to its stakeholders.
  • Information Management & Technology — Data management and analytics: Ability to structure data, develop dashboards and visualizations. Design data warehouses, data lakes or data platform concepts. Familiarity with Machine learning, natural language processing or generation, and the use of artificial intelligence to support predictive analytics.
  • Business Direction & Strategy — Business Acumen: Ability to understand and deal with a business situation in a manner that is likely to lead to a good outcome. Ability to make good judgments and quick decisions within such frameworks. Knowledge and understanding of the operational frameworks in the organization
  • Business Management — Working with Evidence and Data: Ability to inspect, cleanse, transform and model data with the goal of discovering useful information, informing conclusions and supporting decision-making
  • Business Management — Customer Satisfaction/Client Management: Ability to respond timely and appropriately with a sense of urgency, provide consistent solutions, and deliver timely and quality results and/or solutions to fulfil and understand the real customers' needs. Provide input to the development of customer service strategy. Look for ways to add value beyond clients' immediate requests. Ability to anticipate clients' upcoming needs and concerns.

Required Skills and Experience

Education:

  • Advanced University Degree (Master’s Degree or equivalent) in Data Science, Statistics, Computer Science, Computational Sciences, Business Administration, or related fields, is required, or
  • A first-level university degree (Bachelor’s Degree) in the above-mentioned areas with an additional 2 years of relevant work experience will be considered in lieu of the master’s degree.

Experience:

  • A minimum of two (2) years with a Master’s degree or four (4) years with a Bachelor’s degree of progressively relevant work experience in research, data collection, analysis, and supporting business transformation engagements is required;
  • Knowledge and experience of data science/analytics methodologies and approaches is required;
  • Advanced knowledge of spreadsheet and database packages, data modelling, statistical analysis and visualization tools required (e.g. SQL, R, Power BI) is required;
  • Demonstrated experience in database and cloud computing platforms required (e.g. Azure, Fabric) is desirable;
  • Demonstrated hands-on experience in programming languages, libraries and frameworks for use in data science/analytics (e.g. Python, D3.js, DAX) is required;
  • Knowledge of practical applications of predictive analytics and generative AI desirable, including experience assessing and validating AI-generated outputs to ensure accuracy, relevance, and consistency;
  • Experience in performance improvement, business process reengineering, organizational effectiveness/organization development, process consultation, or management consulting is a distinct advantage;
  • Exposure to international development work is an advantage. Knowledge of the UN/UNDP system is desirable.

Language:

  • Fluency in English is required
  • Working knowledge of another UN language is desirable.

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.

Use of AI by candidates

Applicants are invited to read UNDP’s guidance for candidates on using AI responsibly in UNDP recruitment and selection

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.

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