Solar Power Engineer Jobs in Jordan
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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>The question of Syrian return has gained renewed prominence across the region following shifts in the political and security landscape since late 2024. After more than a decade of protracted displacement, the Syria crisis remains one of the largest globally, with over 6.1 million Syrian refugees hosted primarily in neighboring countries, including approximately 2.9 million in T rkiye, 755,000 in Lebanon, and 611,000 in Jordan . Since December 2024, there has been a significant increase in return movements, largely spontaneous and occurring under evolving and often uncertain conditions. As of early 2026, estimates indicate that over 1.5 million Syrians have returned to Syria from neighboring countries, primarily from T rkiye, Lebanon, and Jordan. Of these: • Over 500,000 returns have been recorded from T rkiye alone • Approximately 180,000 returns from Jordan • Hundreds of thousands have returned from Lebanon, including over 500,000 departures reported in 2025 and due to the recent escalation in Lebanon More broadly, over one million refugees have returned from neighboring countries since late 2024, alongside nearly two million internally displaced persons (IDPs) returning within Syria. Projections suggest that millions more may return in the coming years, underscoring the urgency of understanding return dynamics. Despite these movements, returns are taking place in a context where 16.7 million people inside Syria still require humanitarian assistance, and where infrastructure, services, and protection systems remain severely strained. Evidence indicates that many returns are not necessarily driven by improved conditions in Syria alone, but also by increasing pressures in host countries, including economic hardship, restrictive policies, reduced assistance, and rising social tensions. While the scale of return is growing, there remains a critical gap in understanding the gendered dimensions of return decision-making, experiences, and outcomes. Existing data and policy discussions often treat return as a household or population-level phenomenon, without adequately capturing how gender norms, roles, and power relations shape who decides, who moves, under what conditions, and with what consequences. Women, men, girls, and boys experience displacement and return differently. Gender intersects with age, disability, marital status, legal status, caregiving roles, and access to resources, shaping: • Return intentions and aspirations • Exposure to risks and protection concerns • Access to livelihoods, services, and documentation • Reintegration outcomes and long-term sustainability Importantly, emerging evidence suggests that many return decisions are not fully voluntary, but rather shaped by structural pressures, including: • declining access to income and services in host countries, • insecurity related to legal status and documentation, • social and political pressure to return, • and misinformation or lack of reliable information about conditions inside Syria. At the same time, there is limited systematic evidence on the lived experiences of returnees, particularly from a gender perspective. Questions remain around: • how return affects intra-household dynamics and decision-making power, • how gender roles shift post-return, • and whether return leads to improved safety, dignity, and resilience for different groups. Given the scale of ongoing and anticipated return movements, there is an urgent need for a regional, gender-responsive analysis that captures both: • The perspectives of Syrians who have already returned, and • Those who are considering or planning return from host countries. This study, covering Jordan, Lebanon, T rkiye, and Syria, aims to fill this gap by generating evidence on the gendered drivers, risks, decision-making processes, and reintegration outcomes of return. The findings will support more informed, rights-based, and gender-responsive approaches to policy, programming, and advocacy, ensuring that return processes align with principles of voluntariness, safety, dignity, and sustainability. In addition, there is a need to better understand how displacement itself may have reshaped gender norms, roles, and individual agency.</p><p>Purpose and Objectives of the Study</p><p>This study aims to generate evidence on the gendered drivers, decision-making processes, risks, and reintegration outcomes of Syrian return across Jordan, Lebanon, T rkiye, and Syria, in order to inform gender-responsive policy, programming, and advocacy, with a focus on how power, gender norms, and control over resources shape people s ability to make decisions about return, mobility, and their future. Specifically, the study will:</p><ul><li>Examine how gender norms, roles, and intra-household power relations influence return intentions and decisions, including who decides, under what conditions, and to what extent decisions are voluntary**, as well as how perceived trade-offs related to safety, livelihoods, dignity, and personal freedoms influence these decisions.</li><li>Assess differentiated risks faced by women, men, girls, and boys in relation to return, including exposure to GBV, movement restrictions, forced recruitment, child protection risks, and social stigma.</li><li>Analyze how gender affects access to civil documentation, housing, land and property (HLP), livelihoods, basic services, and mobility both in shaping return decisions and in post-return reintegration.</li><li>Evaluate the extent to which returns are safe, voluntary, and dignified, and how return impacts safety, economic security, social roles, and well-being across different population groups, including potential changes in agency, autonomy, and mobility, particularly for women and girls.</li><li>Provide practical, gender-responsive recommendations to inform humanitarian and development programming, advocacy priorities, and policy engagement on Syrian return at national and regional levels.</li></ul><p>Scope of Work</p><p>This study will be conducted at a regional level , covering Jordan, Lebanon, T rkiye, and Syria , and will generate both comparative regional analysis and country-specific insights on gendered dimensions of Syrian return based on primary information gathering. The study will include:</p><ul><li>Syrians who have already returned to Syria, and</li><li>Syrians currently residing in host countries who are considering, discussing, or planning return.</li></ul><p>As part of the assignment, the consultant/team will be responsible for:</p><ul><li>Refining the research framework Further develop and refine the research questions , ensuring they capture gendered drivers, decision-making processes, risks, and reintegration outcomes across contexts.</li><li>Designing a context-appropriate methodology Propose and apply a mixed-methods, gender-sensitive, and protection-informed research approach, combining:<ul><li><br></li></ul></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Proven experience in gender analysis and feminist research approaches</li><li>Strong knowledge of Syria displacement, return dynamics, and regional contexts (Jordan, Lebanon, T rkiye, Syria)</li><li>Demonstrated expertise in qualitative and/or mixed-methods research</li><li>Experience working on protection, GBV, or humanitarian programming</li><li>Strong analytical and report-writing skills in English</li><li>Fluency in Arabic is required</li><li>Experience working with women-led, refugee-led, or local civil society organizations</li><li>Experience translating research into policy and advocacy outputs</li></ul><p></p></section>
<p> <b>Job Description:</b> </p> <p> </p> <p>We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what s possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what s next to power infinite possibilities for our customers, colleagues and society at large.</p> <p> </p> <p> <b>About the Role:</b> </p> <p> </p> <div> <p>Wiley is seeking a talented <b>Software Engineer</b> to join our innovative <b>Search Team</b>. In this role, you will help design, build, and maintain the backend search systems that power millions of user interactions globally.</p> <p> </p> <p>You will work on scalable, high-performance search solutions built on <b>Apache Solr</b>, collaborating on services and infrastructure across a modern backend technology stack that includes <b>Java, Docker, Kafka, and Solr</b>. This is an exciting opportunity for an engineer who enjoys solving complex challenges related to search relevance, performance, scalability, and reliability within large-scale distributed systems.<br> </p> How You Will Make an Impact:<br> <p>As a Software Engineer, you will:</p> <ul> <li>Design, develop, and maintain core search platform components and backend systems.</li> <li>Build and enhance scalable services and features that improve search performance, relevance, and reliability.</li> <li>Troubleshoot and resolve issues across development, testing, and production environments.</li> <li>Contribute to architectural discussions, technical design reviews, and code reviews.</li> <li>Improve software quality through automated testing, refactoring, and proactive management of technical debt.</li> <li>Collaborate effectively with cross-functional teams and colleagues across multiple regions and time zones.</li> <li>Support the continuous improvement of engineering practices, processes, and platform capabilities.<br> </li> </ul><b> What We Look For:</b><br> Required Qualifications <ul> <li>Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.</li> <li>Professional experience developing applications using <b>Java</b>, with a strong understanding of object-oriented programming principles, data structures, and software design patterns.</li> <li>Experience writing unit and integration tests using frameworks such as <b>JUnit</b> and <b>Mockito</b>.</li> <li>Hands-on experience working with <b>Git</b> and <b>Linux-based environments</b>.</li> <li>Strong analytical and problem-solving skills with a focus on quality and continuous improvement.</li> <li>Excellent verbal and written communication skills in English.</li> <li>Ability to work effectively both independently and as part of a distributed team.</li> </ul> Preferred Qualifications <ul> <li>Experience designing and building <b>RESTful APIs</b> and backend services.</li> <li>Experience working with search technologies or within the information retrieval domain.</li> <li>Hands-on experience with <b>Apache Solr</b>, <b>Elasticsearch</b>, or other Lucene-based search platforms.</li> <li>Familiarity with distributed systems and event-driven architectures using technologies such as <b>Kafka</b>.</li> <li>Experience with cloud-native and DevOps technologies including <b>Docker</b>, <b>Kubernetes</b>, <b>Jenkins</b>, <b>GitHub Actions</b>, and/or <b>Google Cloud Platform (GCP)</b>.</li> </ul> </div> <p> </p> <p> </p> <p><br></p>
<p><h4>Description</h4>
<p>We are seeking a highly experienced lead data analyst to lead data analysis initiatives across our fintech organization. This role is responsible for transforming transactional and operational data into strategic insights, influencing decision-making at leadership level, and driving revenue protection, optimization, and data monetization initiatives.</p>
<h4>Responsibilities</h4>
<ul>
<li>Lead and own company-wide data analysis initiatives related to payments, wallets, collections, and customer behavior</li>
<li>Define and track fintech KPIs (transactions, revenue, failures, recovery, customer lifecycle)</li>
<li>Identify revenue leakage, operational gaps, and optimization opportunities and propose data-backed solutions</li>
<li>Partner with operations, product, risk, finance, and IT/core systems to drive data-driven change</li>
<li>Oversee analysis of high-volume financial and transactional datasets</li>
<li>Design and review executive dashboards and management reports</li>
<li>Ensure data accuracy, consistency, and alignment with business logic</li>
<li>Support audits, compliance, and regulatory data requests</li>
<li>Mentor and guide analysts and enforce best practices</li>
<li>Contribute to data governance, quality standards, and documentation</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Bachelor's degree in computer science, data science, statistics, finance, or related field</li>
<li>Minimum 5–7 years of experience in data analytics (fintech, banking, payments preferred)</li>
<li>Expert-level SQL skills (Oracle preferred)</li>
<li>Strong understanding of wallets, payment flows, cash-in/cash-out, reconciliation, and collections</li>
<li>Experience working with large transactional datasets</li>
<li>Hands-on experience with BI tools (Power BI, Tableau, etc.)</li>
<li>Ability to translate data into executive-level insights</li>
</ul>
<h4>Preferred Skills</h4>
<ul>
<li>Experience with core banking or digital wallet systems</li>
<li>Knowledge of revenue assurance, fraud, and risk analytics</li>
<li>Exposure to ETL pipelines and data modeling</li>
<li>Experience contributing to data monetization initiatives</li>
<li>Strong leadership and ownership mindset</li>
<li>Excellent communication and stakeholder management skills</li>
<li>Ability to challenge existing processes using data</li>
<li>Comfortable presenting to senior management and executives</li>
<li>High attention to detail and accountability</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>We are seeking a highly experienced lead data analyst to lead data analysis initiatives across our fintech organization. This role is responsible for transforming transactional and operational data into strategic insights, influencing decision-making at leadership level, and driving revenue protection, optimization, and data monetization initiatives.</p>
<h4>Responsibilities</h4>
<ul>
<li>Lead and own company-wide data analysis initiatives related to payments, wallets, collections, and customer behavior</li>
<li>Define and track fintech KPIs (transactions, revenue, failures, recovery, customer lifecycle)</li>
<li>Identify revenue leakage, operational gaps, and optimization opportunities and propose data-backed solutions</li>
<li>Partner with operations, product, risk, finance, and IT/core systems to drive data-driven change</li>
<li>Oversee analysis of high-volume financial and transactional datasets</li>
<li>Design and review executive dashboards and management reports</li>
<li>Ensure data accuracy, consistency, and alignment with business logic</li>
<li>Support audits, compliance, and regulatory data requests</li>
<li>Mentor and guide analysts and enforce best practices</li>
<li>Contribute to data governance, quality standards, and documentation</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Bachelor's degree in computer science, data science, statistics, finance, or related field</li>
<li>Minimum 5–7 years of experience in data analytics (fintech, banking, payments preferred)</li>
<li>Expert-level SQL skills (Oracle preferred)</li>
<li>Strong understanding of wallets, payment flows, cash-in/cash-out, reconciliation, and collections</li>
<li>Experience working with large transactional datasets</li>
<li>Hands-on experience with BI tools (Power BI, Tableau, etc.)</li>
<li>Ability to translate data into executive-level insights</li>
</ul>
<h4>Preferred Skills</h4>
<ul>
<li>Experience with core banking or digital wallet systems</li>
<li>Knowledge of revenue assurance, fraud, and risk analytics</li>
<li>Exposure to ETL pipelines and data modeling</li>
<li>Experience contributing to data monetization initiatives</li>
<li>Strong leadership and ownership mindset</li>
<li>Excellent communication and stakeholder management skills</li>
<li>Ability to challenge existing processes using data</li>
<li>Comfortable presenting to senior management and executives</li>
<li>High attention to detail and accountability</li>
</ul></p><p></p>
<p><br></p><p><strong>SCOPE OF WORK:</strong><br>The Senior People & Culture Manager leads the day-to-day operations and implementation of the People & Culture function for the Jordan Country Program, ensuring the talent, systems, and resources are in place to achieve country objectives and effectively serve clients, in line with the P&C strategic direction. The role oversees core People & Culture operations, including recruitment, employee relations, compensation and benefits administration, onboarding and offboarding, compliance, and volunteer management, ensuring these services are delivered efficiently and to a high standard. The Senior People & Culture Manager also drives organizational performance by strengthening the efficiency and effectiveness of people-related operations across the country program. The Senior People & Culture Manager is also a member of the Jordan Senior Management Team (SMT). The position holder operates within the scope of IRC management in partnership model and reports directly to both, Jordan Country Director, and the Regional P&C Director.</p><p><strong>Strategic P&C Management</strong><br>• Lead the implementation of People & Culture policies, processes, and initiatives that support the attraction, development, and retention of a skilled and engaged workforce in alignment with organizational policies and standards.<br>• Provide People and Culture guidance to the Country Director and SMT on employee relations, workforce planning, organizational policies, and other people-related matters., ensuring alignment with the organization s mission and leadership continuity.<br>• Promote Gender Equality, Duty of Care, and Safeguarding priorities within the Senior Management Team (SMT) and role model safe, inclusive, and caring leadership standards. Collaborate closely with regional and country counterparts to prioritize and support these efforts effectively, enhancing staff engagement, promoting their wellbeing, and raising awareness across the Country Program.<br>• Foster a healthy organizational culture that is free of unequal power dynamics, discrimination, bias, harassment, bullying, and abuse of power. This includes partnering with CRRD GEDI team to facilitate in-depth discussions on GEDI topics, ensuring these conversations extend beyond compliance to genuinely enhance practices, particularly in recruitment and selection processes, and inclusive team leadership.<br>• Promote inclusive practices as part of the GEDI initiative, organizing cultural exchanges and culture-building activities to enrich team cohesion. Ensure the incorporation of GEDI best practices into the employee lifecycle and day-to-day operations.<br>• Actively participate in proposal design and grants opening and review meetings specifically advising on organizational structure, position scoping, demographic/staffing analysis and other inputs critical to ensure strong P&C foundation to support program quality.<br>• Analyze monthly HR data, including turnover rates, time to fill, and workforce composition, to identify priorities and assess the effectiveness of HR programs.</p><p><strong>P&C Operations/ Foundational</strong><br>• Lead the creation and implementation of P&C objectives at the Country Office, ensuring alignment with organizational goals.<br>• Coordinate and monitor the implementation of the organization's performance management process, ensuring timely completion of performance objectives, reviews, and development plans.<br>• Prepare and analyze People and Culture data and reports including monthly HR metrics, turnover, recruitment, and workforce data, to support operational decision-making and compliance with reporting requirements.<br>• Oversee the payroll process ensuring accurate and timely salary payments and resolve payroll-related issues in coordination with Finance.<br>• Ensure effective implementation of high-quality, context-specific P&C policies and practices across employee lifecycle including recruitment, onboarding and offboarding, compensation and benefits, employee relations, performance management, learning and development, contract administration, leave management, wellbeing, HR Information Systems, and compliance with organizational and legal requirements.<br>• In alignment with our PEERS framework, we promote mutual learning and capacity sharing on P&C standards with our local partners and ensure their ways of working are healthy and in compliance with IRC s standards.<br>• Escalate employee relations and code of conduct concerns promptly and lead or co-lead investigations in collaboration with the Global Employee Relations unit and when needed Ethics and Compliance unit (ECU). Ensure that issues are thoroughly resolved, and appropriate follow-up actions are implemented to maintain integrity and compliance within the organization.<br>• Lead by example in supervising and mentoring direct-report staff, setting performance objectives, providing feedback, and conducting performance reviews.<br>• Offer guidance on career paths and professional development for the P&C team members and support broader staff learning initiatives.</p><p><strong>P&C GEDI</strong><br>• Work with the CRRD GEDI team and regional P&C to implement GEDI strategies and initiatives within the Country Program to advance the GEDI priorities. Coordinate the implementation of GEDI action plans within the Country Program, ensuring effective execution and measurable outcomes.<br>• Serve as the Country Program focal point for Resource Groups (RGs), supporting their activities and promoting employee engagement and participation.<br>• Coordinate the implementation of GEDI action plans within the Country Program, ensuring effective execution and measurable outcomes.<br>• Foster a healthy organizational culture free of unequal power dynamics, discrimination, bias, harassment, bullying, and abuse of power, partnering with the CRRD GEDI team on GEDI topics that strengthen practices in recruitment, selection, and inclusive team leadership.<br>• Coordinate employee engagement, awareness, and culture-building activities that promote inclusion, belonging, and cross-cultural understanding, while supporting the integration of GEDI principles into day-to-day People & Culture practices.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>University certificate in HR management, International Relations or Development, Business Administration, Law or related field.</li><li>6+ years of progressive P&C experience, including recruitment, performance management, employee relations, compensation, and HR administration. Minimum 2 years staff management experience in a fast-paced environment.</li><li>INGO experience strongly preferred.</li><li>Demonstrated success in supporting key senior management and building strong, trusted relationships.</li><li>Proven track-record of excellent management and leadership skills including capacity-building, coaching, mentoring, performance management and delivering individual and group training.</li><li>High degree of comfort and successful track record supervising in matrixed environments.</li><li>High levels of integrity and empathy, with the ability to understand, engage, and inspire others.</li><li>Skilled in collaborating with operational and technical focal points to ensure organizational best practices are represented in work.</li><li>Broad knowledge and experience across the broad spectrum of People & Culture competencies including Diversity and Inclusion</li><li>Strong collaborator with effective interpersonal and analytical skills who can work seamlessly across countries, cultures, and organizational units required.</li><li>Demonstrated ability to work, manage, and meet competing deadlines in a fast-paced, high-volume environment and on deadlines; aptitude for problem solving and decision making needed.</li><li>Excellent inter-personal, written, and verbal communication skills required.</li><li>Must possess a highly collaborative, inclusive, consultative, and resourceful workstyle that balances required compliance/policy enforcement with a steadfast commitment to client service and support.</li><li>Excellent project management and organizational skills including detailed work planning and superior time management skills.</li><li>Proficient in people analytics and data management and interpretation, with an aptitude for translating datasets into actionable people insights.</li><li>English and Arabic language is required.</li><li>Travel: Occasional International travel for regional conferences, workshops, and trainings.</li></ul>
<p><br></p><p><strong>SCOPE OF WORK:</strong><br>The Senior People & Culture Manager leads the day-to-day operations and implementation of the People & Culture function for the Jordan Country Program, ensuring the talent, systems, and resources are in place to achieve country objectives and effectively serve clients, in line with the P&C strategic direction. The role oversees core People & Culture operations, including recruitment, employee relations, compensation and benefits administration, onboarding and offboarding, compliance, and volunteer management, ensuring these services are delivered efficiently and to a high standard. The Senior People & Culture Manager also drives organizational performance by strengthening the efficiency and effectiveness of people-related operations across the country program. The Senior People & Culture Manager is also a member of the Jordan Senior Management Team (SMT). The position holder operates within the scope of IRC management in partnership model and reports directly to both, Jordan Country Director, and the Regional P&C Director.</p><p><strong>Strategic P&C Management</strong><br>• Lead the implementation of People & Culture policies, processes, and initiatives that support the attraction, development, and retention of a skilled and engaged workforce in alignment with organizational policies and standards.<br>• Provide People and Culture guidance to the Country Director and SMT on employee relations, workforce planning, organizational policies, and other people-related matters., ensuring alignment with the organization s mission and leadership continuity.<br>• Promote Gender Equality, Duty of Care, and Safeguarding priorities within the Senior Management Team (SMT) and role model safe, inclusive, and caring leadership standards. Collaborate closely with regional and country counterparts to prioritize and support these efforts effectively, enhancing staff engagement, promoting their wellbeing, and raising awareness across the Country Program.<br>• Foster a healthy organizational culture that is free of unequal power dynamics, discrimination, bias, harassment, bullying, and abuse of power. This includes partnering with CRRD GEDI team to facilitate in-depth discussions on GEDI topics, ensuring these conversations extend beyond compliance to genuinely enhance practices, particularly in recruitment and selection processes, and inclusive team leadership.<br>• Promote inclusive practices as part of the GEDI initiative, organizing cultural exchanges and culture-building activities to enrich team cohesion. Ensure the incorporation of GEDI best practices into the employee lifecycle and day-to-day operations.<br>• Actively participate in proposal design and grants opening and review meetings specifically advising on organizational structure, position scoping, demographic/staffing analysis and other inputs critical to ensure strong P&C foundation to support program quality.<br>• Analyze monthly HR data, including turnover rates, time to fill, and workforce composition, to identify priorities and assess the effectiveness of HR programs.</p><p><strong>P&C Operations/ Foundational</strong><br>• Lead the creation and implementation of P&C objectives at the Country Office, ensuring alignment with organizational goals.<br>• Coordinate and monitor the implementation of the organization's performance management process, ensuring timely completion of performance objectives, reviews, and development plans.<br>• Prepare and analyze People and Culture data and reports including monthly HR metrics, turnover, recruitment, and workforce data, to support operational decision-making and compliance with reporting requirements.<br>• Oversee the payroll process ensuring accurate and timely salary payments and resolve payroll-related issues in coordination with Finance.<br>• Ensure effective implementation of high-quality, context-specific P&C policies and practices across employee lifecycle including recruitment, onboarding and offboarding, compensation and benefits, employee relations, performance management, learning and development, contract administration, leave management, wellbeing, HR Information Systems, and compliance with organizational and legal requirements.<br>• In alignment with our PEERS framework, we promote mutual learning and capacity sharing on P&C standards with our local partners and ensure their ways of working are healthy and in compliance with IRC s standards.<br>• Escalate employee relations and code of conduct concerns promptly and lead or co-lead investigations in collaboration with the Global Employee Relations unit and when needed Ethics and Compliance unit (ECU). Ensure that issues are thoroughly resolved, and appropriate follow-up actions are implemented to maintain integrity and compliance within the organization.<br>• Lead by example in supervising and mentoring direct-report staff, setting performance objectives, providing feedback, and conducting performance reviews.<br>• Offer guidance on career paths and professional development for the P&C team members and support broader staff learning initiatives.</p><p><strong>P&C GEDI</strong><br>• Work with the CRRD GEDI team and regional P&C to implement GEDI strategies and initiatives within the Country Program to advance the GEDI priorities. Coordinate the implementation of GEDI action plans within the Country Program, ensuring effective execution and measurable outcomes.<br>• Serve as the Country Program focal point for Resource Groups (RGs), supporting their activities and promoting employee engagement and participation.<br>• Coordinate the implementation of GEDI action plans within the Country Program, ensuring effective execution and measurable outcomes.<br>• Foster a healthy organizational culture free of unequal power dynamics, discrimination, bias, harassment, bullying, and abuse of power, partnering with the CRRD GEDI team on GEDI topics that strengthen practices in recruitment, selection, and inclusive team leadership.<br>• Coordinate employee engagement, awareness, and culture-building activities that promote inclusion, belonging, and cross-cultural understanding, while supporting the integration of GEDI principles into day-to-day People & Culture practices.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>University certificate in HR management, International Relations or Development, Business Administration, Law or related field.</li><li>6+ years of progressive P&C experience, including recruitment, performance management, employee relations, compensation, and HR administration. Minimum 2 years staff management experience in a fast-paced environment.</li><li>INGO experience strongly preferred.</li><li>Demonstrated success in supporting key senior management and building strong, trusted relationships.</li><li>Proven track-record of excellent management and leadership skills including capacity-building, coaching, mentoring, performance management and delivering individual and group training.</li><li>High degree of comfort and successful track record supervising in matrixed environments.</li><li>High levels of integrity and empathy, with the ability to understand, engage, and inspire others.</li><li>Skilled in collaborating with operational and technical focal points to ensure organizational best practices are represented in work.</li><li>Broad knowledge and experience across the broad spectrum of People & Culture competencies including Diversity and Inclusion</li><li>Strong collaborator with effective interpersonal and analytical skills who can work seamlessly across countries, cultures, and organizational units required.</li><li>Demonstrated ability to work, manage, and meet competing deadlines in a fast-paced, high-volume environment and on deadlines; aptitude for problem solving and decision making needed.</li><li>Excellent inter-personal, written, and verbal communication skills required.</li><li>Must possess a highly collaborative, inclusive, consultative, and resourceful workstyle that balances required compliance/policy enforcement with a steadfast commitment to client service and support.</li><li>Excellent project management and organizational skills including detailed work planning and superior time management skills.</li><li>Proficient in people analytics and data management and interpretation, with an aptitude for translating datasets into actionable people insights.</li><li>English and Arabic language is required.</li><li>Travel: Occasional International travel for regional conferences, workshops, and trainings.</li></ul>
<p><h4>Description</h4>
<p>A leading global pharmaceutical company is seeking a data analysis specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p>
<h4>Responsibilities:</h4>
<ul>
<li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li>
<li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li>
<li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li>
<li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li>
<li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li>
<li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li>
<li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li>
<li>Incorporate core data management competencies, including data governance, data security and data quality</li>
<li>Develop, implement, and maintain change control and testing processes for modifications to data models</li>
<li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Bachelor’s degree in data science, data analytics, computer science, information systems or relevant field</li>
<li>At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession</li>
<li>Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis</li>
<li>Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel</li>
<li>Hands-on relational, dimensional, and analytical project experience</li>
<li>Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</li>
</ul>
<h4>Skills:</h4>
<p><strong>Soft skills:</strong> Communication and stakeholder engagement, facilitation, creative thinking, problem solving, collaboration and teamwork, relationship management, storytelling, influencing, presentation, excellent English language verbal and written communication.</p>
<p><strong>Data & analytics skills (highly proficient in):</strong> Analytics and modelling concepts and methodologies, strong technical documentation, visualization skills, data management, data architecture, AI.</p>
<p><strong>Data governance (good understanding of the concepts, methods and techniques used):</strong> Business understanding, strategic data management, regulatory compliance, change management.</p>
<p><strong>Other skills:</strong> Project management capabilities, business case development, programming languages like SQL, Python, R, analytics and business intelligence tools like Microsoft Power BI, data modelling, version control.</p></p><p></p>
<p><h4>Description</h4>
<p>A leading global pharmaceutical company is seeking a data analysis specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p>
<h4>Responsibilities:</h4>
<ul>
<li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li>
<li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li>
<li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li>
<li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li>
<li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li>
<li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li>
<li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li>
<li>Incorporate core data management competencies, including data governance, data security and data quality</li>
<li>Develop, implement, and maintain change control and testing processes for modifications to data models</li>
<li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li>
</ul>
<h4>Requirements</h4>
<ul>
<li>Bachelor’s degree in data science, data analytics, computer science, information systems or relevant field</li>
<li>At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession</li>
<li>Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis</li>
<li>Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel</li>
<li>Hands-on relational, dimensional, and analytical project experience</li>
<li>Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</li>
</ul>
<h4>Skills:</h4>
<p><strong>Soft skills:</strong> Communication and stakeholder engagement, facilitation, creative thinking, problem solving, collaboration and teamwork, relationship management, storytelling, influencing, presentation, excellent English language verbal and written communication.</p>
<p><strong>Data & analytics skills (highly proficient in):</strong> Analytics and modelling concepts and methodologies, strong technical documentation, visualization skills, data management, data architecture, AI.</p>
<p><strong>Data governance (good understanding of the concepts, methods and techniques used):</strong> Business understanding, strategic data management, regulatory compliance, change management.</p>
<p><strong>Other skills:</strong> Project management capabilities, business case development, programming languages like SQL, Python, R, analytics and business intelligence tools like Microsoft Power BI, data modelling, version control.</p></p><p></p>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><br> <b>About the Job </b> <br> <p > At Aspire, we're looking for a passionate and experienced <span>Data Engineer <span> <span> to join our growing technology team. In this role, you'll design, build, and optimize scalable data platforms that power analytics, reporting, and business-critical decision-making. You'll collaborate with cross-functional teams to develop reliable, high-performance data solutions while leveraging modern cloud technologies and data engineering best practices. <span> <br> <span> <span>What You'll Do <span> <span> <br> </span></span></span></span></span></span></span></span></p><ul > <li > <p> <span> <span>Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Build and optimize batch and real-time data processing workflows. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Design and implement robust data models, data warehouses, and data lakes. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Integrate data from multiple sources, including APIs, databases, cloud services, and third-party applications. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Ensure data quality, consistency, integrity, and security across the organization's data platforms. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Optimize the performance of data pipelines, SQL queries, and large-scale data processing systems. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Collaborate with Analytics, Business Intelligence, and Data Science teams to deliver trusted datasets for reporting and insights. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Work closely with Software Engineering and DevOps teams to build reliable and scalable data infrastructure. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Implement monitoring, logging, and alerting to ensure data pipeline reliability and operational excellence. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Participate in designing and evolving the organization's data architecture and engineering standards. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Mentor junior data engineers by sharing technical knowledge and promoting engineering best practices. <span> <br> </span></span></span></p></li><li > <p > Document data flows, architecture, and technical implementations to support knowledge sharing and maintainability. <span > <br> <span> <span>What You'll Need <span> <span> <br> </span></span></span></span></span></p><ul > <li > <p > Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field. <br> </p></li><li > <p> <span> <span>5+ years of experience in Data Engineering or a similar role. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Strong expertise in SQL and relational databases such as Oracle, PostgreSQL, SQL Server, and MySQL. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Hands-on experience with Apache Airflow, Apache Kafka, Apache Spark, or similar data engineering technologies. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Strong programming skills in Python, Java, or Scala. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Experience with cloud data warehouse solutions such as Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse Analytics. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Strong understanding of ETL/ELT processes, data modeling, and data integration best practices. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Experience working with large-scale distributed data systems. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP). <span> <br> </span></span></span></p></li><li > <p> <span> <span>Experience using Git or other version control systems. <span> <br> </span></span></span></p></li><li > <p> <span> <span>Strong analytical, problem-solving, and communication skills. <br> </span></span></p></li><li > <p> <span> <span>Experience with real-time streaming technologies such as Kafka, Flink, or Spark Streaming is a plus <span> <br> </span></span></span></p></li><li > <p> <span> <span>Knowledge of modern data lake platforms, including Delta Lake and Databricks is a plus <span> <br> </span></span></span></p></li><li > <p> <span> <span>Experience with Docker and Kubernetes <span> <span>is a plus <span> <br> </span></span></span></span></span></p></li><li > <p> <span> <span>Familiarity with BI and visualization tools such as Power BI, Tableau, or Looker <span> <span>is a plus <span> <br> </span></span></span></span></span></p></li><li > <p> <span> <span>Experience implementing CI/CD pipelines for data engineering workflows <span> <span>is a plus <span> <br> </span></span></span></span></span></p></li><li > <p> <span> <span>Understanding of data governance, security, privacy, and compliance practices <span> <span>is a plus <span> <br> </span></span></span></span></span></p></li><li > <p > <span> <span>Experience working in Agile or Scrum environments.<br> </span></span></p><div ><br></div></li></ul></li></ul></div></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>A leading global pharmaceutical company is seeking a Data Analysis Specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making. This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization. This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.</p><p>Responsibilities:</p><ul><li>Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets</li><li>Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models</li><li>Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions</li><li>Create data flow diagrams, dimensional models (e.g., star schema), and other visual representations to support analytics and reporting</li><li>Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes</li><li>Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts</li><li>Conduct performance tuning and optimization of data models for efficient data access and retrieval</li><li>Incorporate core data management competencies, including data governance, data security and data quality</li><li>Develop, implement, and maintain change control and testing processes for modifications to data models.</li><li>Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Data Science, Data Analytics, Computer Science, Information Systems or relevant field. At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel Hands-on relational, dimensional, and analytical project experience Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications</p><p>Skills:</p><p>Soft Skills: Communication and Stakeholder Engagement Facilitation Creative thinking Problem solving Collaboration and teamwork Relationship management Storytelling Influencing Presentation Excellent English language verbal and written communication.</p><p>Data & Analytics Skills (highly proficient in): Analytics and modelling concepts and methodologies Strong technical documentation Visualization skills Data management Data architecture AI Data governance (good understanding of the concepts, methods and techniques used): Business Understanding Strategic Data Management Regulatory Compliance Change management</p><p>Other skills : Project management capabilities Business case development Programming languages like SQL, Python, R Analytics and business intelligence tools like Microsoft Power BI Data modelling Version control</p><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>A leading global pharmaceutical company is seeking a Data Analysis Specialist who will play a key role in designing, developing conceptual, logical, and physical data models by interpreting and analyzing complex datasets with the business in order to provide insights and support data-driven decision-making.<br> This individual will also contribute to maintaining data dictionaries, metadata documentation, and data standards to support consistency and clarity across the organization.<br> This highly collaborative role works closely alongside data engineers, data governance, and business executives to gather and transform data, conduct statistical analysis, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.<br> Responsibilities: Design, create, implement and maintain logical and physical data models for both IT and business solutions to capture the structure, relationships, and constraints of relevant datasets Effectively collaborate and communicate with various stakeholders to understand data and business requirements and translate them into data models Build and operationalize complex data solutions, correct problems, apply transformations, and propose data cleansing or enhancement solutions Create data flow diagrams, dimensional models (e.<br>g., star schema), and other visual representations to support analytics and reporting Collaborate with data engineers and database administrators to optimize data collection, storage, and retrieval processes Develop data modelling best practices, and use these standards to identify and resolve data modelling issues and conflicts Conduct performance tuning and optimization of data models for efficient data access and retrieval Incorporate core data management competencies, including data governance, data security and data quality Develop, implement, and maintain change control and testing processes for modifications to data models.<br> Create and maintain data dictionaries, metadata documentation, and clear definitions for key datasets and business terms Bachelor’s degree in Data Science, Data Analytics, Computer Science, Information Systems or relevant field.<br> At least 3 years of experience as a data analyst, data scientist, BI analyst, or related profession Proven project experience with programming languages such as DAX, SQL, Python, or R for data manipulation and analysis Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel Hands-on relational, dimensional, and analytical project experience Familiarity with ERP systems such as SAP, Sage, or similar enterprise applications Skills: Soft Skills: Communication and Stakeholder Engagement • Facilitation • Creative thinking • Problem solving • Collaboration and teamwork • Relationship management • Storytelling • Influencing • Presentation • Excellent English language verbal and written communication.<br> Data & Analytics Skills (highly proficient in): Analytics and modelling concepts and methodologies • Strong technical documentation • Visualization skills • Data management • Data architecture • AI Data governance (good understanding of the concepts, methods and techniques used): Business Understanding • Strategic Data Management • Regulatory Compliance • Change management Other skills : Project management capabilities • Business case development • Programming languages like SQL, Python, R • Analytics and business intelligence tools like Microsoft Power BI • Data modelling • Version control</span> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>A leading global pharmaceutical company is seeking an experienced Data Engineer / BI Engineer to design, build, and maintain scalable data platforms that enable analytics, reporting, and data-driven decision making. The role focuses on data ingestion, transformation, modeling, and analytics enablement, with strong emphasis on Python-based data engineering and modern data architectures.</p><p>Responsibilities:</p><p>1. Data Engineering & Data Architecture: Design and maintain scalable data pipelines for ingesting, transforming, and serving structured and semi-structured data. Develop robust data transformation and processing logic using Python and distributed data processing frameworks. Design and maintain analytical data models (dimensional models, fact/dimension tables) optimized for reporting and analytics. Ensure data quality, reliability, performance, and consistency across the data platform. Translate business and analytical requirements into efficient and maintainable data solutions.</p><p>2. Analytics & BI Enablement: Build and maintain semantic / analytical models that support enterprise reporting and self-service analytics. Collaborate with analysts and business users to deliver trusted datasets and metrics. Support reporting and dashboarding solutions by providing optimized data structures and calculations.</p><p>3. Delivery & Collaboration: Produce clear technical documentation including data models, transformation logic, and pipeline designs. Collaborate with cross-functional teams including data analysts, data engineers, and business stakeholders.</p><p>Bachelor s degree in data science, computer science, data engineering, or a relevant field.</p><p>1-3 years of BI development experience.</p><p>3+ years of cloud-based BI development experience</p><p>Excellent English language verbal and written communication.</p><p>Able to analyse and understand complex data.</p><p>Able to implement modules that have security and authorization frameworks.</p><p>Strong problem-solving skills</p><p>Technical Skills:</p><p>Programming & Data Processing: Strong proficiency in Python for data engineering and analytics use cases. Experience building reusable, testable, and maintainable data transformation code.</p><p>Data Warehousing & Modeling: Strong knowledge of SQL and analytical query optimization. Solid understanding of data warehousing concepts (ETL/ELT, fact and dimension modeling). Experience designing star and snowflake schemas for analytics and reporting. Understanding of semantic layers and metrics definitions for BI consumption.</p><p>Cloud & Modern Data Platforms: Experience working with cloud-based data platforms and data lakes(Preferred Azure). Understanding of scalable data architectures (Lakehouse, warehouse, streaming vs batch).</p><p>BI & Analytics: Experience supporting BI and reporting tools through well-designed datasets and models (Preferred Power BI). Knowledge of analytical calculations, KPIs, and performance optimization for reporting workloads.</p><p>CI/CD & DevOps (Supporting Skills): Working knowledge of CI/CD concepts applied to data and analytics projects. Experience using version control systems (e.g., Git, Perforce or Apache Subversion) for managing data, code, and artifacts. Familiarity with deployment pipelines and environment promotion for data solutions'</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in data science, computer science, data engineering, or a relevant field.</p><p>1-3 years of BI development experience.</p><p>3+ years of cloud-based BI development experience</p><p>Excellent English language verbal and written communication.</p><p>Able to analyse and understand complex data.</p><p>Able to implement modules that have security and authorization frameworks.</p><p>Strong problem-solving skills</p><p>Technical Skills:</p><p>Programming & Data Processing: Strong proficiency in Python for data engineering and analytics use cases. Experience building reusable, testable, and maintainable data transformation code.</p><p>Data Warehousing & Modeling: Strong knowledge of SQL and analytical query optimization. Solid understanding of data warehousing concepts (ETL/ELT, fact and dimension modeling). Experience designing star and snowflake schemas for analytics and reporting. Understanding of semantic layers and metrics definitions for BI consumption.</p><p>Cloud & Modern Data Platforms: Experience working with cloud-based data platforms and data lakes(Preferred Azure). Understanding of scalable data architectures (Lakehouse, warehouse, streaming vs batch).</p><p>BI & Analytics: Experience supporting BI and reporting tools through well-designed datasets and models (Preferred Power BI). Knowledge of analytical calculations, KPIs, and performance optimization for reporting workloads.</p><p>CI/CD & DevOps (Supporting Skills): Working knowledge of CI/CD concepts applied to data and analytics projects. Experience using version control systems (e.g., Git, Perforce or Apache Subversion) for managing data, code, and artifacts. Familiarity with deployment pipelines and environment promotion for data solutions'</p><p></p></section>
<p>A reputable firm located in Amman, representing multinational companies with a focus on power and industrial supplies, with extensive experience in this field, has a vacancy for "Mechanical and/or Electrical Engineer" to manage tender preparation, coordinate with suppliers, and support commercial and technical bidding activities.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Mechanical or Electrical Engineering from a reputable University.</li><li>(5-7) years of relevant experience in tenders.</li><li>Strong knowledge of tender preparation and documentation.</li><li>Energetic, hardworking, and has a real interest in both office and field work</li><li>Excellent communication skills in both Arabic and English.</li><li>Excellent computer skills.</li><li>Has a Jordanian driving license.</li><li>Resident of Amman</li></ul>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>We are looking for a Data Analyst with around 4-5 years of experience to support data-driven decision making. The role focuses on data analysis, reporting, and building insights using business intelligence tools.</p><p>Key Responsibilities</p><ul><li>Collect, clean, and analyze data from different sources</li><li>Support building dashboards and reports using business intelligence tools</li><li>Work on data preparation and transformation using ETL tools</li><li>Ensure data accuracy and consistency across systems</li><li>Collaborate with business teams to understand requirements and translate them into data insights</li><li>Support in identifying trends and providing recommendations</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Educational background in: Business Computing , MIS , Data Science ,Data Analytics / Business Intelligence Strong knowledge of Power app, Copilot, and other AI tools</p><p></p></section>
<p>Something is being built at CRD. We invite you to build its engine.</p><p><strong>Desired Candidate Profile</strong></p><p><strong>EXPERIENCE:</strong> A track record of pipelines and automations running in production: Power Automate, n8n, Python, or the tool that fits. Practical application of LLMs to real workflows: quality assurance, document generation, analysis.</p><p><strong>SKILLS:</strong> The ability to carry a loosely defined problem to a working, documented, reproducible system. Familiarity with survey data (Kobo/ODK) or the health and development sector is welcome, though not required.</p><p><strong>CHARACTER</strong> We look for builders who:</p><ul><li>Ship working systems, and improve them in motion</li><li>Document with care, for those who come after</li><li>Offer honest counsel, even when it is unwelcome</li><li>Find more satisfaction in a running pipeline than a polished slide</li></ul>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>1 BACKGROUND</p><p>Job Title: Technical Support Engineer </p><p>Location: Jordan-International</p><p>Reference ID: ST-JOB-20260715-TSE</p><p>Posting Date: July 15th, 2026</p><p>Resumes: Please visit Seethru.ai contact page.</p><p><br></p><p>1.1 ABOUT SEETHRU AI</p><p>Seethru AI Inc. is a leading manufacturer of x-ray technology for cargo inspection, with headquarters near Boston—USA, and a global network of partners. The role posted herein is based in Jordan and supports the operations in Jordan and globally. Interested applicants are encouraged to email their resumes to our contact page at seethru.ai.</p><p><br></p><p>1.2 ROLE DESCRIPTION</p><p>Technical Support Engineer, supporting operations in the factory and field preventive and corrective maintenance, installation, and training for Seethru AI x-ray inspection equipment. The role will be based in Jordan and support Seethru equipment worldwide.</p><p><br></p><p>1.3 TRAVEL</p><p>This job requires 25% - 50% travel to support new or existing customers.</p> </div><h2 class="h5">Skills</h2>
<div data-jb-field="skills"><p>2 MINIMUM REQUIREMENTS</p><p>2.1 EDUCATION</p><p>B.S. Engineering degree in Electrical, Mechanical, Industrial, Communications, or similar discipline.</p><p><br></p><p>2.2 ENGLISH LANGUAGE PROFICIENCY</p><p>Proficient in English; reading, writing, and speaking.</p><p><br></p><p>2.3 RESOURCFULL AND SELF-LEARNER</p><p>The successful candidate is not expected to have experience with similar technologies, hence Seethru will provide training. It is very important, however, for the successful candidate to be resourceful and able to find solutions for new problems unseen before.</p><p><br></p><p>2.4 SKILLS</p><ol><li>ELECTRICAL: Theoretical understanding and physical handing of electrical circuits with Direct and Alternating Current (DC/AC), Power, Voltage, Current, and Wiring. Shall be able to debug electrical wiring diagrams and circuits.</li><li>MECHANICAL: Principles of Mechanical systems and related Physics including Power, Torque, and Heating and Cooling.</li><li>COMPUTER: Very good working knowledge of Microsoft Windows computers and networks, covering: (a) Operating system and Microsoft Office suite: Outlook, Word, Excel, and PowerPoint; (b) Good understanding of computer networks, with emphasis on TCP/IP v4, IP addresses, and subnets. Configuring WiFi and Ethernet LAN; (c) Good working knowledge with Windows Command Prompt.</li><li>COMMUNICATIONS: Excellent communication skills with Seethru team members, suppliers, and customers. Given the nature of the business, most communications shall be in English.</li><li>TEAM PLAY: Shall be a team player, treating fellow team members with mutual respect.</li><li>TRAINING: Shall be able to train customer on Seethru technologies in Jordan and abroad.</li></ol><p><br></p><p>3 RELEVANT EXPERIENCE</p><p>Two (or more) years of relevant experience is highly desired but may be substituted with strong academic credentials and understanding of the required skills above.</p><p>3.1 ADDITIONAL EXPERIENCE</p><p>Experience in these areas is not a must, but a strong plus: HVAC, Induction Motors and Motor Drive Controllers, Control Systems, Serial Communications (RS485, RS232, Modbus), PLCs, Teaching, and CCTV Camera Systems.</p><p><br></p><p>4 COMPENSATION</p><p>We offer competitive compensation packages, which will be determined based on skills and experience.</p><p><br></p><p>5 JOB DUTIES</p><p>As a Technical Support Engineer, travel inside or outside Jordan is expected to support customers. The job duties include the following:</p><ol><li>Support the operations activities in Jordan including Electrical, Mechanical, and Software.</li><li>Respond to customer technical inquires, support diagnostic and resolution of customer technical issues. Support may be performed remotely or may require travel to customer sites.</li><li>Support installation and commissioning of equipment at customer sites.</li><li>Provide technical training to customers on the operation and maintenance of equipment.</li><li>Perform Factory and Site Acceptance Tests (FAT/SAT).</li></ol></div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>SRD Center is looking for a Research & M&E Specialist to support the design and implementation of a baseline study in Jordan. The specialist will contribute to the research methodology, data collection tools, fieldwork planning, data quality assurance, analysis, and reporting. The role requires strong experience in mixed-method research, monitoring and evaluation, baseline studies, and field data collection.</p><p>Tasks</p><ul><li>Support the development of the baseline study methodology and workplan.</li><li>Design or refine quantitative and qualitative data collection tools.</li><li>Support sampling, fieldwork planning, and coordination with the data collection team.</li><li>Train or orient enumerators and field researchers on tools, ethics, and data quality standards.</li><li>Supervise or support field data collection in the target governorates.</li><li>Review and clean quantitative and qualitative data.</li><li>Conduct data analysis and prepare clear findings.</li><li>Contribute to the inception report, fieldwork summary, draft baseline report, and final baseline report.</li><li>Support stakeholder analysis, service provider mapping, and community mapping outputs.</li><li>Ensure that research findings are practical, evidence-based, and useful for project planning.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>University degree in research, statistics, social sciences, development studies, monitoring and evaluation, public policy, or a related field.</li><li>Strong experience in baseline studies, evaluations, assessments, or applied research.</li><li>Good knowledge of mixed-method research, including surveys, KIIs, FGDs, and participatory tools.</li><li>Experience with data collection tools such as KoboToolbox, ODK, Excel, SPSS, STATA, Power BI, or similar tools.</li><li>Strong skills in data analysis and report writing.</li><li>Experience supervising or supporting field data collection teams.</li><li>Good understanding of ethical research, informed consent, confidentiality, and data protection.</li><li>Fluency in Arabic is required; strong English writing skills are highly preferred.</li><li>Previous experience in disability inclusion, protection, social inclusion, or community development studies is an advantage.</li></ul><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>We are seeking a highly experienced Lead Data Analyst to lead data analysis initiatives across our Fintech organization.<br> This role is responsible for transforming transactional and operational data into strategic insights, influencing decision-making at leadership level, and driving revenue protection, optimization, and data monetization initiatives.<br> Responsibilities Lead and own company-wide data analysis initiatives related to payments, wallets, collections, and customer behavior Define and track Fintech KPIs (transactions, revenue, failures, recovery, customer lifecycle) Identify revenue leakage, operational gaps, and optimization opportunities and propose data-backed solutions Partner with Operations, Product, Risk, Finance, and IT/Core Systems to drive data-driven change Oversee analysis of high-volume financial and transactional datasets Design and review executive dashboards and management reports Ensure data accuracy, consistency, and alignment with business logic Support audits, compliance, and regulatory data requests Mentor and guide analysts and enforce best practices Contribute to data governance, quality standards, and documentation Bachelor’s degree in Computer Science, Data Science, Statistics, Finance, or related field Minimum 5–7 years of experience in Data Analytics (Fintech, Banking, Payments preferred) Expert-level SQL skills (Oracle preferred) Strong understanding of wallets, payment flows, cash-in/cash-out, reconciliation, and collections Experience working with large transactional datasets Hands-on experience with BI tools (Power BI, Tableau, etc.<br>) Ability to translate data into executive-level insights Preferred Skills Experience with Core Banking or Digital Wallet Systems Knowledge of revenue assurance, fraud, and risk analytics Exposure to ETL pipelines and data modeling Experience contributing to data monetization initiatives Strong leadership and ownership mindset Excellent communication and stakeholder management skills Ability to challenge existing processes using data Comfortable presenting to senior management and executives High attention to detail and accountability</span> </div>
<p><h4>Description</h4>
<p>We're looking for a hands-on data quality analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.<br>
You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions. Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.</p>
<h4>Requirements</h4>
<h4>What you'll do</h4>
<ul>
<li>Validate data displayed across dashboards, reports, web, and mobile applications</li>
<li>Reconcile source data, transformed datasets, and final analytical outputs</li>
<li>Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports</li>
<li>Ensure consistency of metrics across multiple dashboards and reporting platforms</li>
<li>Validate business rules and ensure reported figures align with approved definitions</li>
<li>Identify data discrepancies and investigate inconsistencies before release</li>
<li>Support user acceptance testing (UAT) for dashboards, reports, chatbots, and other analytical products</li>
<li>Act as the quality gate before dashboards and reports are released to end users</li>
<li>Log, track, and support the resolution of data quality issues</li>
<li>Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues</li>
<li>Maintain documentation for reconciliation rules, report logic, and validation processes</li>
<li>Contribute to improving reporting standards, validation checklists, and quality practices</li>
</ul>
<h4>You're our match if you have</h4>
<ul>
<li>3–5 years of experience in data quality, business intelligence, analytics, or reporting assurance</li>
<li>Hands-on experience validating dashboards, reports, or business intelligence solutions</li>
<li>Strong SQL skills for data validation, reconciliation, and comparison</li>
<li>Experience working with Power BI, Tableau, or similar reporting platforms</li>
<li>Strong understanding of KPIs, metrics, business rules, and calculation logic</li>
<li>Experience working with enterprise data sources such as ERP, CRM, or HCM systems</li>
<li>Excellent analytical skills with exceptional attention to detail</li>
<li>Ability to communicate data issues clearly to both technical and business stakeholders</li>
<li>Strong sense of ownership and commitment to data accuracy</li>
</ul>
<h4>Bonus points if you have experience with</h4>
<ul>
<li>Validating analytics for web or mobile applications</li>
<li>Government or enterprise reporting environments</li>
<li>Data governance, reporting standards, or data quality frameworks</li>
<li>Supporting executive-level reporting</li>
</ul></p><p></p>
<p><h4>Description</h4>
<p>We're looking for a hands-on data quality analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.<br>
You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions. Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.</p>
<h4>Requirements</h4>
<h4>What you'll do</h4>
<ul>
<li>Validate data displayed across dashboards, reports, web, and mobile applications</li>
<li>Reconcile source data, transformed datasets, and final analytical outputs</li>
<li>Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports</li>
<li>Ensure consistency of metrics across multiple dashboards and reporting platforms</li>
<li>Validate business rules and ensure reported figures align with approved definitions</li>
<li>Identify data discrepancies and investigate inconsistencies before release</li>
<li>Support user acceptance testing (UAT) for dashboards, reports, chatbots, and other analytical products</li>
<li>Act as the quality gate before dashboards and reports are released to end users</li>
<li>Log, track, and support the resolution of data quality issues</li>
<li>Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues</li>
<li>Maintain documentation for reconciliation rules, report logic, and validation processes</li>
<li>Contribute to improving reporting standards, validation checklists, and quality practices</li>
</ul>
<h4>You're our match if you have</h4>
<ul>
<li>3–5 years of experience in data quality, business intelligence, analytics, or reporting assurance</li>
<li>Hands-on experience validating dashboards, reports, or business intelligence solutions</li>
<li>Strong SQL skills for data validation, reconciliation, and comparison</li>
<li>Experience working with Power BI, Tableau, or similar reporting platforms</li>
<li>Strong understanding of KPIs, metrics, business rules, and calculation logic</li>
<li>Experience working with enterprise data sources such as ERP, CRM, or HCM systems</li>
<li>Excellent analytical skills with exceptional attention to detail</li>
<li>Ability to communicate data issues clearly to both technical and business stakeholders</li>
<li>Strong sense of ownership and commitment to data accuracy</li>
</ul>
<h4>Bonus points if you have experience with</h4>
<ul>
<li>Validating analytics for web or mobile applications</li>
<li>Government or enterprise reporting environments</li>
<li>Data governance, reporting standards, or data quality frameworks</li>
<li>Supporting executive-level reporting</li>
</ul></p><p></p>