Data Management Associate
Support flood recovery through data management and analytics.
Overview
Support flood recovery through data management and analytics.
You have:
- Strong skills in data cleaning, structuring, and validation.
- Ability to perform basic data analysis and visualization (Power BI/Tableau).
- Knowledge of monitoring and reporting processes.
- Good communication and coordination skills.
- Proficiency in Excel, Word, PowerPoint, and other relevant data tools.
- Ability to organize and validate provincial level data for use in monitoring and reporting processes.
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), 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 UNDP Flood Recovery Programme (FRP) and in close coordination with the Planning and Development Department, Government of Khyber Phuktunkhwa (KP). The UN Volunteer will carry out the following duties:
Data Management and Engineering • Develop, clean, structure, and manage datasets required by the Provincial Recovery and Reconstruction Unit (RRU). • Build basic data pipelines and integration workflows to support the flow of information between provincial systems and Recovery 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 Recovery 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 staff in data extraction, cleaning, and file management. • Maintain documentation including data dictionaries, 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 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 Recovery 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 Recovery and Reconstruction Unit (RRU) KP.
• Accountability • Adaptability and flexibility • Creativity • Judgement and decision-making • Planning and organizing • Professionalism • Self-management
Data management or analytics. Strong skills in data cleaning, structuring, and validation. Ability to perform basic data analysis and visualization (Power BI/Tableau). Knowledge of monitoring and reporting processes. Good communication and coordination skills. Proficiency in Excel, Word, PowerPoint, and other relevant data tools.
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 a time when you had to manage large datasets. What approach did you take? | To assess your practical data management skills and problem-solving approach. | Discuss specific tools and techniques you used, such as data cleaning and structuring. |
| How do you ensure data accuracy and integrity in your analyses? | This question evaluates your attention to detail and processes you implement for data quality. | Pro members can see the explanation. |
| Can you provide an example of a data visualization project you worked on? What tools did you use? | Pro members can see the explanation. | Pro members can see the explanation. |
| Explain how you would train a colleague on data handling practices? | Pro members can see the explanation. | Pro members can see the explanation. |
| What steps do you take to prepare a progress report? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe a challenge you faced during a data project and how you overcame it. | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you discuss the importance of governance in data management? | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you stay updated on advancements in data management techniques? | Pro members can see the explanation. | Pro members can see the explanation. |