Position: Data Analyst
Company: WFP Ukraine
Experience required: 1y
Category: Data Analyst
English level: intermediate
Published: 2022-12-01T00:00:00+02:00

UN hiring! Calling on young data talents to help serve WFP food and cash assistance in Ukraine. Hone in on your data skills, SQL, python for humanitarian goals in our Digital Solutions team.
Apply for Data Analyst (SC6) for United Nations World Food Programme today!

Please apply on https://www.wfp.org/careers/job-openings

Career Opportunities: Programme Associate (Data Analyst) SC-6

Duty station: Kyiv, One year

🚩 Vacancy Announcement n°: 178573

📢 Job Title: Programme Associate (Data Analyst) 

📌Type of Contract: Service Contract

➡️ Unit / Division: Programme Unit / WFP Ukraine

📍   Duty Station: Kyiv

➡️ Duration: 12 months (renewable)

⏰ Closing date: Monday 02 January, midnight (Ukraine Time)

This position is open to Ukrainian Nationals and official working permit holders ONLY

ABOUT WFP
The United Nations World Food Programme is the world's largest humanitarian agency fighting hunger worldwide.  The mission of WFP is to help the world achieve Zero Hunger in our lifetimes. Every day, WFP works worldwide to ensure that no child goes to bed hungry and that the poorest and most vulnerable, particularly women and children, can access the nutritious food they need.

To learn more about WFP, visit our website and follow us on social media to keep up with our latest news: LinkedIn, Instagram, Facebook, Twitter.

What will you do in this position?
The Programme Associate (Data Analyst) will work under the guidance of a lead data analyst and report to the Head of Digital Solutions in WFP Ukraine Programme unit. The Digital Solutions team members are tasked to support the programme in Ukraine by leveraging technology to deploy and innovate with rapid, impactful additions to the 
programme cycle. 

The job holder will utilize technical data skills (e.g. SQL, Python) to ensure data assurance standards and provide timely support to the day-to-day operations. They will use technical know-how, data analysis, and problem-solving skills to assist WFP in creating a clearer picture of who we are serving.

How can you make a difference?
1. Assist in developing verification checks and algorithms to maintain standards of beneficiary data quality.
2. Support on data centralization and cleaning as required on beneficiary data.
3. Carry out de-duplication tasks to retain single entries for all unique beneficiaries.
4. Support ensuring consistency across data sources and audit trail on beneficiary data management.
5. Act as the first line of support for all users, helping with any questions, resolving issues, and escalating when needed to Regional Bureau and HQ.
6. Support maintaining user Dashboards including the ingestion of data and development of reports.
7. Assist with Data Assurance assessment of the current data flow from the FSP, frequency, formats, and technology used, providing expert advice on beneficiary data risks (e.g. identify potential risks in beneficiary/payments data exchanges) and opportunities for mitigation, proposing a target data/systems architecture to Country Offices.
8. Support the implementation of systems to automatically ingest data into corporate platforms and the customisation of reporting solutions.
9. Assist to perform changes and enhancements to the FSP data models at the Country Office level, for reconciliation and reporting purposes.
10. Any other tasks as required.

To join us in saving lives, changing lives, you will have;
Education: Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, Economics or another 
relevant field, or equivalent practical experience.
Experience: 
• Experience working with large data sets and summarizing data for business.
• Experience working with relational databases and query authoring with SQL.
• Experience with excel and dashboards.
Knowledge & Skills: 
• Familiarity with Big Data, data warehousing and business intelligence solutions.
• Hands-on experience with Python for data analysis (pandas, numpy etc.).
• Intermediate SQL skills for data analysis. Ability to capture facts and stories from data and translate them 
into insights. Familiarity with various ETL/ELT tools is desirable.
• Familiarity with Data Governance principles and best practices.
Languages: Ukrainian (fluent), English (fluent), any other UN languages is a plus