Data Science Associate
Support data management and analytical processes for flood reconstruction efforts.
Overview
Support data management and analytical processes for flood reconstruction efforts.
You have:
- Develop, clean, structure, and manage datasets required by the Provincial RRU.
- Conduct descriptive and analytical assessments of project, financial, and geographic data.
- Experience in the development and maintenance of visualizations using tools like Power BI or Tableau.
- Ability to assist in preparing monthly, quarterly, and annual progress reports.
- Technical support experience in data extraction, cleaning and management.
- Communication and coordination skills as shown through previous roles.
- Experience in training staff on data handling and reporting practices.
- Strong judgement and decision-making skills demonstrated in previous roles.
Contract
This is a UNV contract. More about UNV contracts.
This is a UNV National Specialist contract. This kind of contract is known as National UN Volunteer. It is normally only for nationals. More about UNV National Specialist 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 FRP and in close coordination with the Planning and Development Department, Government of Sindh. The UN Volunteer will carry out the following duties:
Data Management and Engineering • Develop, clean, structure, and manage datasets required by the Provincial RRU. • Build basic data pipelines and integration workflows to support the flow of information between provincial systems and 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 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 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 FRP and 4RF reporting requirements.
Technical Support and Documentation • Provide technical support to P&DD staff in data extraction, cleaning, and file management. • Maintain documentation including data dictionaries, SOPs, and user guides. • Coordinate with technical teams working on the 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 P&DD and RRU staff on basic data handling, visualization, and reporting practices. • Liaise with line departments to collect, organize, and validate datasets required by 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 a situation where you had to manage and clean a large dataset. | This question assesses your data management skills and your approach to data quality. | Provide a specific example where you took steps to ensure data integrity. |
| How do you approach creating visualizations for data reporting? | This seeks to evaluate your understanding of data visualization practices and tools. | Pro members can see the explanation. |
| Can you explain a time when you assisted in preparing reports for stakeholders? | Pro members can see the explanation. | Pro members can see the explanation. |
| What methods do you use to ensure data is accurately reported? | Pro members can see the explanation. | Pro members can see the explanation. |
| Give an example of how you adapted to changes in data requirements on a project. | Pro members can see the explanation. | Pro members can see the explanation. |
| How would you train someone on basic data handling practices? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe a challenge you faced in data analysis and how you overcame it. | Pro members can see the explanation. | Pro members can see the explanation. |
| What strategies do you use for effective team coordination in data-related projects? | Pro members can see the explanation. | Pro members can see the explanation. |