Data Science Associate

Support flood recovery through data management, analysis, and reporting.

This opening expired 2 months ago. Do not try to apply for this job.

UNDP - United Nations Development Programme

Open positions at UNDP
Logo of UNDP

Application deadline 2 months ago: Thursday 19 Mar 2026 at 00:00 UTC

Open application form

Overview

Support flood recovery through data management, analysis, and reporting.

You have:

  • Bachelor's degree in Data Science, Computer Science, or a related field.
  • 2+ years of experience in data management and analysis.
  • Proficiency in SQL and data visualization tools (e.g., Power BI, Tableau).
  • Strong communication and report writing skills.
  • Ability to work under pressure and manage multiple tasks.
  • Knowledge of Monitoring and Evaluation (M&E) frameworks.
  • Experience in training and capacity building.

Contract

This is a UNV contract. More about UNV contracts.

Between June and August 2022, torrential rains and a combination of riverine, urban, and flash flooding led to an unprecedented and devastating disaster in Pakistan that led to a huge humanitarian crisis and set back Pakistan’s development trajectory considerably. With support from the Government of German through KfW Development Bank (KfW), United Nations Development Programme (UNDP) has launched the Flood Reconstruction and Coordination Programme which aims to deliver results in the three concrete areas, i.e.,

(1) improved transparency and accountability of the financial resources being allocated for flood recovery through enhanced Monitoring & Evaluation (M&E) systems.

(2) improved governance mechanisms and capacities for resilient flood recovery; and

(3) enhanced recovery support through reconstruction of houses and rehabilitation of community physical infrastructure in Quetta district.

The UN Volunteer will work under the supervision of United Nations Development Programme (UNDP) Flood Recovery Programme (FRP) and in close coordination with the Planning and Development Department, Government of Sindh. The UN Volunteer will perform the following duties:

Data Management and Engineering • Develop, clean, structure, and manage datasets required by the Provincial Rehabilitation and Reconstruction Unit (RRU). • Build basic data pipelines and integration workflows to support the flow of information between provincial systems and Rehabilitation and Reconstruction Unit (RRU) platforms. • Organize and validate provincial level data for use in monitoring and reporting processes. • Ensure that provincial data is compiled and prepared for feeding into the larger Resilient Recovery, Rehabilitation, and Reconstruction Framework (4RF) dashboard.

Data Analysis and Visualization • Conduct descriptive and analytical assessments of project, financial, and geographic data. • Prepare data summaries, charts, and visual outputs for senior officials, donor meetings, and coordination forums. • Develop and maintain visualizations using tools such as Power BI, Tableau, or other approved platforms. • Support the creation of performance indicators and progress summaries based on provincial recovery data.

Support to Monitoring and Reporting • Assist the Provincial Rehabilitation and Reconstruction Unit (RRU) in preparing monthly, quarterly, and annual progress reports. • Compile data from district offices, line departments, and implementing partners. • Support verification and quality checks of reported data. • Ensure alignment with Flood Recovery Programme (FRP) and Resilient Recovery, Rehabilitation, and Reconstruction Framework (4RF) reporting requirements.

Technical Support and Documentation • Provide technical support to Planning and Development Department (P&DD) staff in data extraction, cleaning, and file management. • Maintain documentation including data dictionaries, Standard Operating Procedures (SOPs), and user guides. • Coordinate with technical teams working on the Resilient Recovery, Rehabilitation, and Reconstruction Framework (4RF) dashboard to ensure smooth integration of provincial data. • Support troubleshooting in collaboration with the software developer and United Nations Development Programme (UNDP) technical teams.

Coordination and Capacity Support • Participate in provincial level consultations and review meetings related to data and monitoring. • Train Planning and Development Department (P&DD) and Rehabilitation and Reconstruction Unit (RRU) staff on basic data handling, visualization, and reporting practices. • Liaise with line departments to collect, organize, and validate datasets required by Rehabilitation and Reconstruction Unit (RRU) Sindh.

• Accountability • Adaptability and flexibility • Creativity • Judgement and decision-making • Planning and organising • Professionalism • Self-management

Communication, Interpersonal, Coordination, Report writing and in Software; SQL, Excel (Data Analysis), Word, Power point and any other software which the candidate has used previously for data analysis

As this is a national UNV assignment, the UN Volunteer will be responsible for arranging his/her own housing and other living essentials. UNV Field Unit will help you open a Pak rupee bank account with Standard Chartered Bank or any other local bank at your duty station.

Assignment remarks: This is a national UNV assignment, and a Volunteer Living Allowance (VLA) of PKR 131,372 is provided monthly to cover housing, utilities and normal cost of living expenses. Life health and permanent disability insurance are included (health insurance for up to 3 dependents), as well as final repatriation (if applicable) and resettlement allowance for satisfactory service.

Potential interview questions

Describe your experience with data management and how you ensure data quality. The interviewer wants to assess your technical skills and attention to detail in data handling. Discuss specific projects or experiences where you managed data, highlighting tools and methods used.
Can you provide an example of a successful data visualization project you've completed? This question assesses your ability to present data effectively and draw insights. Pro members can see the explanation.
How do you prioritize tasks when managing multiple projects simultaneously? Pro members can see the explanation. Pro members can see the explanation.
Tell me about a time you had to train others on data-related practices; what approach did you take? Pro members can see the explanation. Pro members can see the explanation.
How do you handle feedback on your data reports or analyses? Pro members can see the explanation. Pro members can see the explanation.
What methods do you use for ensuring the accuracy of the data you work with? Pro members can see the explanation. Pro members can see the explanation.
Describe a challenging data analysis problem you've encountered and how you solved it. Pro members can see the explanation. Pro members can see the explanation.
Why is data visualization important in reporting project outcomes? Pro members can see the explanation. Pro members can see the explanation.
Added 3 months ago - Updated 2 months ago - Source: unv.org