وظائف مطورين بايثون في اليمن

<p>Job Title: Nutanix Engineer/ Networking IT Support Engineer Location: Aden and Sanaa, Yemen Employment Type: Freelance (On-Call Basis) Priority: High (Immediate Hiring) Role Overview We are hiring a Nutanix Engineer/ Networking IT Support Engineer to support enterprise infrastructure environments across California. This role requires flexibility for on-call support and the ability to work across regional time zones.</p><h4>Key Responsibilities</h4><ul><li>Deploy and manage Nutanix HCI environments (AOS, AHV, Prism)</li><li>Perform upgrades, patching, and lifecycle management</li><li>Troubleshoot and resolve infrastructure issues</li><li>Implement backup and disaster recovery solutions</li><li>Provide on-call incident response support</li><li>Work with global teams on cloud and infrastructure projects</li><li>Maintain system documentation</li></ul><h4>Required Skills &amp; Experience</h4><ul><li>5+ years in infrastructure or virtualization engineering</li><li>Strong experience with Nutanix stack</li><li>Knowledge of VMware or Hyper-V</li><li>Networking fundamentals (TCP/IP, VLANs, DNS, DHCP)</li><li>Experience with DR and backup tools</li><li>Scripting (PowerShell/Python) is advantageous</li></ul><h4>Mandatory Requirement</h4><ul><li>Minimum 90% pass score on induction assessment</li></ul><h4>Preferred Qualifications</h4><ul><li>Nutanix Certification (NCP or higher)</li><li>Exposure to AWS, Azure, or GCP</li><li>Automation tools knowledge (Ansible, Terraform)</li></ul><h4>Soft Skills</h4><ul><li>Strong communication skills (Local language &amp; English preferred)</li><li>Ability to handle critical incidents</li><li>Team-oriented and proactive</li></ul><p><strong>Desired Candidate Profile</strong></p><h4>Required Skills &amp; Experience</h4><ul><li>5+ years in infrastructure or virtualization engineering</li><li>Strong experience with Nutanix stack</li><li>Knowledge of VMware or Hyper-V</li><li>Networking fundamentals (TCP/IP, VLANs, DNS, DHCP)</li><li>Experience with DR and backup tools</li><li>Scripting (PowerShell/Python) is advantageous</li></ul><h4>Mandatory Requirement</h4><ul><li>Minimum 90% pass score on induction assessment</li></ul><h4>Preferred Qualifications</h4><ul><li>Nutanix Certification (NCP or higher)</li><li>Exposure to AWS, Azure, or GCP</li><li>Automation tools knowledge (Ansible, Terraform)</li></ul><h4>Soft Skills</h4><ul><li>Strong communication skills (Local language &amp; English preferred)</li><li>Ability to handle critical incidents</li><li>Team-oriented and proactive</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>POSITION PROFILE </b>The Senior Data Officer (SDO) will serve as the technical focal point for all data-related processes within the mission, with a particular emphasis on quantitative methodology, statistics, and sampling design. The SDO will lead the development and implementation of robust data workflows across research cycles, ensuring statistical rigour, methodological soundness, and operational efficiency. As the mission s lead on data systems and quantitative methods, the SDO will support and advise assessment teams on sampling strategies, research design, and quantitative analysis plans. They will oversee the validation of data collection tools, design and implementation cleaning and analysis scripts, and will lead the production of analytical outputs including dashboards, summary tables, and statistical briefs. The SDO will also be responsible for line-managing at least one Data Officer (DO) and supporting their technical growth. They will coordinate with the Research Manager and relevant assessment teams to align on priorities and deadlines and will serve as a central actor in troubleshooting methodological challenges and improving research processes. This position requires a candidate with a strong background in statistics and data analysis, advanced proficiency in tools such as R, Stata, or Python, and experience designing and implementing sampling methodologies in humanitarian or development contexts. The ideal candidate will be highly organized, capable of managing multiple priorities, and able to work autonomously in volatile and fast-paced environments. A collaborative mindset, ability to communicate technical concepts clearly to non-technical stakeholders, and a solution-oriented attitude are essential to success in this role. <b>RESPONSIBILITIES </b>The Senior Data Officer is responsible for the following: RESEARCH CYCLE MANAGEMENT AND TECHNICAL LEADERSHIP • Serve as the mission s technical focal point for quantitative methodology, statistical validity, and data reliability across all research cycles. • Lead on the development of sampling design in coordination with assessment and GIS teams, ensuring relevance to research objectives and field realities. • Act as the focal point for the IMPACT Kobo server, managing all Yemen mission projects, including tool design, deployment, and troubleshooting. • Provide training and technical guidance to assessment teams and junior data staff on data cleaning, management, and statistical best practices. DATA MANAGEMENT AND ANALYSIS • Manage and maintain R-based pipelines for data cleaning, transformation, and analysis, ensuring replicable and well-documented workflows. • Oversee the design and the implementation of the data cleaning and validation processes. • Lead the development and execution of analysis scripts, and contribute to the automation of recurring data processing tasks. INFORMATION MANAGEMENT AND PRODUCT DEVELOPMENT • Translate analysis findings into accessible and insightful data outputs, including summary statistics, visualizations, dashboards, and interactive tools. • Collaborate with assessment and GIS teams to support the development of high-quality deliverables (e.g., factsheets, briefs, interactive maps). • Provide ongoing technical support to internal teams and external stakeholders, including tailored analysis, data interpretation guidance, and capacity strengthening where needed. • Ensure that data outputs are aligned with IMPACT s internal quality standards and support decision-making in the response. The Senior Data Officer will maintain the strictest confidentiality on all data collected and related processes, ensuring full compliance with IMPACT s data protection policy and SOPs. They will actively take measures to prevent the unauthorized sharing of any information and data belonging to IMPACT and its partners or collected during their assignment with IMPACT. REQUIREMENTS • Years of work experience At least 4 years of relevant working experience in a similar role preferable in the humanitarian field; • Research skills Proficiency and proven experience with research methods, including both quantitative and qualitative research. Excellent analytical skills; • Statistical skills Strong statistical and analytical skills; • Software skills Advanced knowledge of R, STATA, Python or equivalent statistical software (with a willingness to learn R). Knowledge of ArcGIS or Power Bi an advantage; • Sound judgment and emotional intelligence in high-pressure or sensitive situations. Possesses strong interpersonal awareness and the ability to respond constructively to feedback and shifting priorities; • Level of independence Proven ability to work independently; • Communication/reporting skills Excellent communication and drafting skills for effective reporting; • Organizational and coordination skills Strong presentation, and organisational skills; • Multi-tasking skills Ability to multitask with tight deadlines; • Cross-cultural work environment Ability to operate in a cross-cultural environment requiring flexibility; • Academic qualifications Excellent academic qualifications, preferably including a Master s degree in a relevant discipline (Computer or Data Science, Statistics, Social Science, Economics, or related); • Experience in geographical region Past experience in the region is an asset; • Language skills Fluency in English required, competency in Arabic is an asset.&nbsp;</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>At least 4 years of relevant working experience in a similar role, preferably in the humanitarian field.</li><li>Proficiency and proven experience with research methods, including both quantitative and qualitative research. Excellent analytical skills.</li><li>Strong statistical and analytical skills.</li><li>Advanced knowledge of R, STATA, Python or equivalent statistical software (with a willingness to learn R). Knowledge of ArcGIS or Power BI is an advantage.</li><li>Sound judgment and emotional intelligence in high-pressure or sensitive situations. Possesses strong interpersonal awareness and the ability to respond constructively to feedback and shifting priorities.</li><li>Proven ability to work independently.</li><li>Excellent communication and drafting skills for effective reporting.</li><li>Strong presentation and organizational skills.</li><li>Ability to multitask with tight deadlines.</li><li>Ability to operate in a cross-cultural environment requiring flexibility.</li><li>Excellent academic qualifications, preferably including a Master's degree in a relevant discipline (Computer or Data Science, Statistics, Social Science, Economics, or related).</li><li>Past experience in the region is an asset.</li><li>Fluency in English required, competency in Arabic is an asset.</li></ul><p></p></section>

<p>The United Nations World Food Programme (WFP) is the world's largest humanitarian organization, working to save lives and combat hunger globally. In Yemen, one of the world's most severe humanitarian crises continues to drive widespread food insecurity and vulnerability. According to the 2026 Humanitarian Needs and Response Plan (HNRP), an estimated 22.3 million people require humanitarian assistance, including 18.3 million people in need of food security and livelihood support. WFP's response focuses on saving lives, protecting livelihoods, and improving food consumption among the most vulnerable populations through life-saving food assistance and nutrition interventions. To support evidence-based programming and strategic decision-making, WFP Yemen's Vulnerability Analysis and Mapping (VAM) unit leads food security monitoring, assessments, and analysis across the country. The unit conducts large-scale food security and livelihood assessments, market monitoring, beneficiary monitoring, and other analytical activities that generate critical information on food security conditions, market trends, household vulnerabilities, and humanitarian needs. These efforts provide the evidence base for Programme design, targeting, operational planning, donor engagement, resource mobilization, and advocacy. The VAM unit manages and analyzes a wide range of datasets and produces regular analytical products, including monthly food security updates, quarterly food security and market monitoring and market functionality assessments. Through rigorous data collection, analysis, and reporting, the unit plays a central role in informing WFP's response and supporting humanitarian decision-making across Yemen.</p><p>The VAM Officer (Statistician) will support the design, implementation, and analysis of food security assessments and surveys by applying sound statistical methodologies and ensuring the quality, accuracy, and reliability of data collected by WFP Yemen. The position is responsible for conducting statistical analyses and modeling, developing sampling methodologies, managing survey datasets, and producing evidence-based findings to inform food security monitoring, Programme implementation, and humanitarian response. The incumbent will contribute to questionnaire design, sample selection, data cleaning, validation, weighting, and quantitative/qualitative analysis of food security, market, and beneficiary datasets. The role will support the preparation of analytical reports, statistical tables, dashboards, and other information products while ensuring adherence to WFP standards and best practices in survey design, data quality assurance, and statistical reporting. The position will also support the application of innovative statistical techniques including Artificial Intelligence and Machine Learning approaches and strengthen the quality and credibility of evidence generated by the VAM unit.</p><strong>Key Accountabilities (not all-inclusive)</strong><ul><li>Support the design and implementation of food security, market prices and market functionality, beneficiary targeting, and ad hoc assessments by applying appropriate statistical methods and ensuring methodological rigor throughout the assessment cycle.</li><li>Develop sampling methodologies, sample frames, and sample size calculations for household surveys, market assessments, monitoring activities, and other evidence-generation exercises conducted by WFP Yemen.</li><li>Lead data processing activities, including data cleaning, validation, weighting, imputation, and preparation of analysis-ready datasets, ensuring accuracy, consistency, and adherence to established quality standards.</li><li>Conduct statistical analyses of food security, livelihoods, market, beneficiary, and vulnerability datasets using WFP corporate techniques of quantitative and qualitative data analysis.</li><li>Support the development, calculation, and validation of key food security, market, targeting, and outcome indicators used in WFP monitoring and assessment systems.</li><li>Ensure quality assurance of data collection processes through development of validation rules, consistency checks, field monitoring tools, and data quality assessment procedures.</li><li>Contribute to the design, testing, and refinement of questionnaires, survey instruments, and digital data collection tools to improve data quality and operational efficiency.</li><li>Develop and maintain statistical code, automated scripts, and reproducible analytical workflows using relevant statistical software and programming languages to improve efficiency and standardization of analyses.</li><li>Support advanced quantitative analyses, including trend analysis, predictive modelling, small-area estimation, targeting analysis, and other analytical techniques required for food security monitoring and humanitarian response.</li><li>Prepare statistical tables, analytical datasets, metadata, technical documentation, and methodological notes to support reporting and ensure transparency and reproducibility of analytical outputs.</li><li>Support the production of periodic analytical products by providing robust statistical evidence, indicator calculations, and quantitative findings for reports, dashboards, briefs, and other information products.</li><li>Contributes to the integration and harmonization of diverse datasets, including household, market, targeting, operational, geographic, and secondary data sources, to strengthen analytical capacity within the VAM unit.</li><li>Provide technical guidance and training to VAM staff, field teams, cooperating partners, and government counterparts on survey implementation, sampling methodologies, data quality management, and statistical analysis techniques.</li><li>Support emergency assessments and rapid response analytical efforts by conducting timely statistical analysis and ensuring the availability of reliable evidence during crises and sudden-onset emergencies.</li><li>Maintain statistical standards, documentation, and archiving systems to ensure compliance with WFP policies, best practices, and data protection requirements.</li><li>Provide GIS and geospatial data-analysis and management support, including geocoding, spatial joins, administrative boundaries, vulnerability layers, operational locations and map production, where applicable.</li><li>Develop and maintain dashboards and automated reporting products for food security, market prices, assessment results, rM&amp;E/mVAM and other priority VAM indicators.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>University degree in Statistics, Applied Statistics, Mathematics, Econometrics, Data Science, or a related quantitative discipline, with strong training in survey methodology, sampling, statistical modelling, and quantitative analysis.</p><p>Total relevant 5 years of experience including 1 year of Professional experience in statistics, quantitative/qualitative analysis, survey methodology, data management, monitoring and evaluation, food security analysis, economics, or a related field.</p><p>Experience in survey design, sampling methodologies, statistical analysis, data quality assurance, and management of large datasets is highly desirable.</p><p>Experience working with humanitarian, development, or socio-economic data and proficiency in statistical software packages like R, STATA, SPSS, Python would be necessary.</p>

<p>DEADLINE FOR APPLICATIONS 7 September 2026-23:59-GMT+03:00 Arabian Standard Time (Aden) WFP celebrates and embraces diversity. It is committed to the principle of equal employment opportunity for all its employees and encourages qualified candidates to apply irrespective of race, colour, national origin, ethnic or social background, genetic information, gender, gender identity and/or expression, sexual orientation, religion or belief, HIV status or disability. ABOUT WFP The World Food Programme is the world s largest humanitarian organization saving lives in emergencies and using food assistance to build a pathway to peace, stability and prosperity, for people recovering from conflict, disasters and the impact of climate change. At WFP, people are at the heart of everything we do and the vision of the future WFP workforce is one of diverse, committed, skilled, and high performing teams, selected on merit, operating in a healthy and inclusive work environment, living WFP's values (Integrity, Collaboration, Commitment, Humanity, and Inclusion) and working with partners to save and change the lives of those WFP serves. To learn more about WFP, visit our website: https://www.wfp.org and follow us on social media to keep up with our latest news: YouTube , LinkedIn , Instagram , Facebook , Twitter , TikTok . WHY JOIN WFP? WFP is a 2020 Nobel Peace Prize Laureate. WFP offers a highly inclusive, diverse, and multicultural working environment. WFP invests in the personal &amp; professional development of its employees through a range of training, accreditation, coaching, mentorship, and other programs as well as through internal mobility opportunities. A career path in WFP provides an exciting opportunity to work across the various country, regional and global offices around the world, and with passionate colleagues who work tirelessly to ensure that effective humanitarian assistance reaches millions of people across the globe. We offer an attractive compensation package (please refer to the Terms and Conditions section of this vacancy announcement). GENERAL INFORMATION JOB TITLE: VAM Officer (Assessments) TYPE OF CONTRACT/LEVEL: Service Contract L8 SUPERVISOR: VAM Officer UNIT/DIVISION: VAM DUTY STATION (City, Country): Aden, Yemen DURATION: 12 Months BACKGROUND AND PURPOSE OF THE ASSIGNMENT: The United Nations World Food Programme (WFP) is the world's largest humanitarian organization, working to save lives and combat hunger globally. In Yemen, one of the world's most severe humanitarian crises continues to drive widespread food insecurity and vulnerability. According to the 2026 Humanitarian Needs and Response Plan (HNRP), an estimated 22.3 million people require humanitarian assistance, including 18.3 million people in need of food security and livelihood support. WFP's response focuses on saving lives, protecting livelihoods, and improving food consumption among the most vulnerable populations through life-saving food assistance and nutrition interventions. To support evidence-based programming and strategic decision-making, WFP Yemen's Vulnerability Analysis and Mapping (VAM) unit leads food security monitoring, assessments, and analysis across the country. The unit conducts large-scale food security and livelihood assessments, market monitoring, beneficiary monitoring, and other analytical activities that generate critical information on food security conditions, market trends, household vulnerabilities, and humanitarian needs. These efforts provide the evidence base for Programme design, targeting, operational planning, donor engagement, resource mobilization, and advocacy. The VAM unit manages and analyzes a wide range of datasets and produces regular analytical products, including monthly food security updates, quarterly food security and market monitoring and market functionality assessments. Through rigorous data collection, analysis, and reporting, the unit plays a central role in informing WFP's response and supporting humanitarian decision-making across Yemen. JOB PURPOSE: The VAM Officer (Assessments) will support the planning, design, implementation, and coordination of food security, market functionality, prices, rapid emergency, beneficiary targeting validation, and other quantitative and qualitative assessments conducted by WFP Yemen. The position is responsible for ensuring the collection and analysis of high-quality data to generate timely and reliable evidence on food security, humanitarian needs, market functionality, population vulnerabilities, and the effectiveness of targeting approaches and WFP interventions. The incumbent will coordinate all stages of assessments, from methodology and questionnaire design through data collection, analysis, validation, and reporting, ensuring adherence to WFP standards and best practices. The role will contribute to the production of evidence and assessment findings that inform Programme design, targeting, emergency response, and strategic decision-making, while promoting innovative assessment methodologies and data collection approaches to strengthen the quality and credibility of evidence generated by the VAM unit. Key Accountabilities (not all-inclusive) Lead the planning, design, and implementation of food security &amp; livelihoods, market functionality, prices, rapid emergency, beneficiary targeting validation, and other quantitative and qualitative assessments using face-to-face or remote survey techniques. Develop assessment methodologies, survey tools, questionnaires, sampling approaches, field protocols, and operational plans in line with WFP standards and best practices. Coordinate assessment activities with field offices, cooperating partners, enumerators, service providers, government counterparts, and other stakeholders to ensure timely and high-quality implementation. Manage remote data collection activities, including telephone-based surveys and call center operations, and serve as the primary focal point for coordination, performance monitoring, troubleshooting, and follow-up with external service providers. Lead assessment fieldwork, including enumerator training, pilot testing, field supervision, data collection monitoring, and implementation of quality assurance measures to ensure the accuracy and reliability of data. Analyze and interpret quantitative and qualitative data to generate evidence on food security conditions, livelihoods, market functionality, vulnerabilities, humanitarian needs, and the impact of WFP interventions. Coordinate beneficiary targeting validation and verification exercises, ensuring the effective application of established targeting criteria, model, tools, and standard operating procedures. Support periodic market functionality assessments following&nbsp;</p><p><strong>Desired Candidate Profile</strong></p><p>University degree in Statistics, Economics, Food Security, Agriculture, Social Sciences, Development Studies, Monitoring and Evaluation, Public Policy, Geography, Data Analysis, or another field relevant to humanitarian assessments and vulnerability analysis, with strong training in survey methodology, sampling, statistical modelling, and quantitative/qualitative analysis.</p><p>Total relevant 5 years of experience including 1 year of Professional experience in statistics, quantitative/qualitative analysis, survey methodology, data management, monitoring and evaluation, food security analysis, economics, or a related field. Experience in survey design, sampling methodologies, statistical analysis, data quality assurance, and management of large datasets is highly desirable. Experience working with humanitarian, development, or socio-economic data and proficiency in statistical software packages like R, STATA, SPSS, Python would be asset.</p><p>English - Arabic.</p>