وظائف سائقين ليموزين في لبنان

<p>We are looking for an experienced M&amp;A Strategy &amp; Transactions professional to join our high performing team. As a M&amp;A Senior, you will work with the Senior Managers and Partners to assist clients in assessing the strategic fit of a business by analyzing all aspects of a transaction, assessing the projected synergies, project managing the deal cycle, assisting in negotiations, and conducting financial modelling.</p><p>We are interested in highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization. You will support in the execution of transactions across the client portfolio, preparing client reports and key documentation for fund-raising, acquisitions and disposals. You will also be responsible for meeting the transaction timetable, ensuring quality on client deliverables, as well as engaging with counterparties and other advisers to ensure transaction milestones are met, understanding the key business drivers as well as identifying, and managing key issues and risks through insights, factual conclusions and advice and collaborate with junior colleagues, share knowledge, and take an active role in the growth and development of the team</p><p>Experience of corporate finance in an investment bank, professional services firm or boutique with a track record of working on both the buy-side and sell-side. as well as finance raising. the role would require strong numerical, financial and modelling skills based on a well-developed understanding of financial statements. You will have sound judgement and an ability to generate creative solutions to problems.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor s degree ideally in a finance or related specialization from a reputable University</li><li>At least 3-4 years' experience in a M&amp;A environment, including experience playing a key role in executing transactions</li><li>Strong communication and presentation skills</li><li>Proven ability to produce high quality and impactful professional documents for clients and internal use</li></ul><p>Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry. An effective communicator, you ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.</p>

<p>The world is currently experiencing the Fourth Industrial Revolution, where Machine Learning, Artificial Intelligence, and automation of activities are the key drivers of this revolution. This revolution will inevitably eliminate many current lines of work yet can bring in new lines of employment. ESCWA's Future of work initiative is expected to provide a forum for ESCWA countries to prepare for the Fourth Industrial Revolution (FIR) jobs while factoring in the number of jobs needed between now and the attainment of the 2030 Agenda. The key aim is to support member States for the upcoming change in employment and skills due to technological advancements. Ultimately, ESCWA will help member states harness job opportunities emerging from the advent of newer technologies while taming challenges. ESCWA skills monitor is part of ESCWA's initiative on the Future of Work that uses Machine Learning and Artificial Intelligence to assess the demand for skills and jobs in the Arab region. Even though AI is very powerful, it still requires significant human intervention to be helpful. In most cases, AI models might be fit for the data that they only have been trained on, where human intervention is required to detect higher accuracy. This was evident, especially during unprecedented events such as the COVID-19 pandemic.</p><p>The individual contractor will be responsible for the following tasks:</p><ul><li>Assist in checking accuracy of how Machine Learning is capturing Occupation classification.</li><li>Assist in checking accuracy of skills for almost ISCO jobs.</li><li>Assist in checking accuracy of how regular expression (Reg-X) models are capturing different features from text.</li><li>Assist in conducting data analysis using data from the ESCWA Skills Monitor.</li><li>Assist in meeting, workshops and mission preparations including administrative activities.</li><li>Help in all Ad hock activities related to labor market policies and private sector development.</li></ul><p><strong>Desired Candidate Profile</strong></p>A High school Diploma is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of 2 years of experience in data manipulation data analysis, presentation, drafting and data visualization is required. Proven experience in successfully working with a team is required. Familiarity with Microsoft Suite is required. English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English and Arabic is required. Note: Fluency equals a rating of fluent in all four areas (speak, read, write, and understand) and Knowledge of equals a rating of confident in two of the four areas.

<p>The world is currently experiencing the Fourth Industrial Revolution, where Machine Learning, Artificial Intelligence, and automation of activities are the key drivers of this revolution. This revolution will inevitably eliminate many current lines of work yet can bring in new lines of employment. ESCWA's Future of work initiative is expected to provide a forum for ESCWA countries to prepare for the Fourth Industrial Revolution (FIR) jobs while factoring in the number of jobs needed between now and the attainment of the 2030 Agenda. The key aim is to support member States for the upcoming change in employment and skills due to technological advancements. Ultimately, ESCWA will help member states harness job opportunities emerging from the advent of newer technologies while taming challenges. ESCWA skills monitor is part of ESCWA's initiative on the Future of Work that uses Machine Learning and Artificial Intelligence to assess the demand for skills and jobs in the Arab region. Even though AI is very powerful, it still requires significant human intervention to be helpful. In most cases, AI models might be fit for the data that they only have been trained on, where human intervention is required to detect higher accuracy. This was evident, especially during unprecedented events such as the COVID-19 pandemic.</p><p>The individual contractor will be responsible for the following tasks:</p><ul><li>Assist in checking accuracy of how Machine Learning is capturing Occupation classification.</li><li>Assist in checking accuracy of skills for almost ISCO jobs.</li><li>Assist in checking accuracy of how regular expression (Reg-X) models are capturing different features from text.</li><li>Assist in conducting data analysis using data from the ESCWA Skills Monitor.</li><li>Assist in meeting, workshops and mission preparations including administrative activities.</li><li>Help in all Ad hock activities related to labor market policies and private sector development.</li></ul><p><strong>Desired Candidate Profile</strong></p>A High school Diploma is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of 2 years of experience in data manipulation data analysis, presentation, drafting and data visualization is required. Proven experience in successfully working with a team is required. Familiarity with Microsoft Suite is required. English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English and Arabic is required. Note: Fluency equals a rating of fluent in all four areas (speak, read, write, and understand) and Knowledge of equals a rating of confident in two of the four areas.

<p>Titan Technologies SAL is seeking a reliable, organized, and detail-oriented Warehouse Assistant to support the daily operations of the warehouse. The successful candidate will assist in inventory control, order processing, delivery coordination, and administrative warehouse tasks while ensuring accuracy and efficiency in all activities. Experience with the Dolphin ERP System is considered a strong advantage.</p><p>Key Responsibilities:</p><ul><li>Prepare customer invoices and process purchase entries accurately.</li><li>Receive incoming goods, verify quantities and documentation, and update inventory records.</li><li>Review and verify orders prepared by other team members to ensure accuracy before dispatch.</li><li>Coordinate and schedule daily delivery routes for drivers to ensure efficient distribution.</li><li>Monitor and track customer orders to ensure timely and accurate deliveries.</li><li>Assist in periodic inventory counts and annual stock-taking activities.</li><li>Maintain and update warehouse records and internal databases, including vendor information, order details, quantities, pricing, and discounts.</li><li>Coordinate with local suppliers regarding deliveries, shortages, returns, and order-related issues.</li><li>Support warehouse colleagues with operational and administrative tasks and provide coverage during staff absences when required.</li><li>Ensure warehouse documentation is complete, accurate, and properly filed.</li><li>Comply with company policies, warehouse procedures, and health and safety standards.</li><li>Contribute to maintaining a clean, organized, and productive warehouse environment.</li></ul><p>Qualifications:</p><ul><li>Previous experience in a warehouse, logistics, inventory control, or supply chain environment.</li><li>Strong attention to detail with excellent organizational and time management skills.</li><li>Ability to prioritize tasks and manage multiple responsibilities simultaneously.</li><li>Good communication and interpersonal skills.</li><li>Team-oriented with the ability to work independently when required.</li><li>Problem-solving mindset with a proactive approach to daily operations.</li></ul><p>Education &amp; Technical Requirements</p><ul><li>High school diploma or equivalent (required).</li><li>Proficiency in Microsoft Office, particularly Microsoft Excel.</li><li>Experience using ERP or warehouse management systems is required; Dolphin ERP experience is a strong advantage.</li><li>Basic computer literacy and data entry skills.</li></ul><p>Preferred Skills</p><ul><li>Knowledge of inventory management and warehouse operations.</li><li>Ability to work under pressure while maintaining accuracy.</li><li>Strong sense of responsibility, reliability, and accountability.</li><li>Flexibility to support operational requirements when needed.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Previous experience in a warehouse, logistics, inventory control, or supply chain environment.</p><p>Strong attention to detail with excellent organizational and time management skills.</p><p>Ability to prioritize tasks and manage multiple responsibilities simultaneously.</p><p>Good communication and interpersonal skills.</p><p>Team-oriented with the ability to work independently when required.</p><p>Problem-solving mindset with a proactive approach to daily operations.</p><p>High school diploma or equivalent (required).</p><p>Proficiency in Microsoft Office, particularly Microsoft Excel.</p><p>Experience using ERP or warehouse management systems is required; Dolphin ERP experience is a strong advantage.</p><p>Basic computer literacy and data entry skills.</p><p>Knowledge of inventory management and warehouse operations.</p><p>Ability to work under pressure while maintaining accuracy.</p><p>Strong sense of responsibility, reliability, and accountability.</p><p>Flexibility to support operational requirements when needed.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>The consultant is expected to draft a paper that develops a framework outlining the key determinants for advancing care reforms and systems.<br> Work Location<br>Remote<br> Expected duration<br>3 months<br> Duties and Responsibilities<br>Background Around the world, societies and economies are undergoing socio-demographic changes such as ageing populations, low fertility rates, urbanization, increased migration, widespread crises and conflicts, and climate change, which have all intensified the demand for care. However, while gaining global importance, care work still remains invisible and undervalued, often relegated to informal and unpaid labour, disproportionately borne by women, thus hindering their empowerment. Although this trend is observed globally, it is particularly acute in the Arab region where women undertake 80 to 90 per cent of all unpaid care work and spend 4.7 times more time than men on these responsibilities, exceeding the global average of 3.62 . Unpaid care work hinders women’s visibility and participation in public economic and political spheres as well as in decision-making processes in the Arab region. The disproportionate unpaid care work undertaken by women limits their economic engagement and opportunities, as it makes it challenging for them to balance work and family responsibilities. Additionally, women often face gender stereotypes, limited professional development opportunities, and an institutional culture that marginalizes their contributions. Women’s economic and political participation in the region remain low compared to global averages. In 2025, women’s labour force participation was only 19 per cent, less than half the global average of 49 per cent, making it the lowest rate worldwide . Women’s political representation shows a similarly stark gap. In December 2025, women held only 27 per cent of national parliamentary seats globally, with an even lower share in the Middle East and North Africa at around 16 per cent, the lowest in the world . However, there has been growing regional momentum realizing gains in the care economy with many countries in the Arab region offering instructive examples of care reforms. Nevertheless, these reforms are often sector-specific, focusing on one policy area such as labour without approaching care in a holistic manner interconnected across different sectors and policy areas. Within this context, understanding the political economy which examines how social, economic, and political factors shape care policies and systems becomes a pressing priority. Building on these reform efforts in the Arab region and looking at breakthroughs in care policymaking globally, including Latin America which has been particularly active in advancing comprehensive care systems, it is increasingly important to understand how care, often framed solely as a gender equality issue, intersects with other major development issues and policy domains. This highlights the regional need for policies that recognize care as a central element of sustainable economies and redistribute it among different stakeholders including the state. Ongoing inter-regional collaboration between UN regional commissions, namely ESCWA and the United Nations Economic Commission for Latin America and the Caribbean (ECLAC) including through a project on advancing care policies for transformative recovery in Latin America and the Caribbean, Asia-Pacific and the Arab states, seeks to draw lessons from Latin American countries’ experiences in advancing comprehensive care systems. Given the inherent political nature of care policymaking, it is essential to understand what prompts political actors to prioritize care. A key driver is awareness around the critical role care plays in society and its far-reaching implications for economic and social well-being. When care is made visible as a cross-cutting issue that affects economic growth, labour force participation, health outcomes, social cohesion, and gender equality, it is more likely to gain traction in political discourse and influence the selection of policy instruments, thereby driving change in laws, budgets, and institutional support for care systems. Objective and methodology ESCWA seeks to hire a consultant to assist in drafting a paper, in collaboration with ECLAC, that thoroughly examines the factors and determinants behind care reforms, investigating the political economy of care in the Arab region and relating it to Latin America’s experience. The paper will draw on experiences from both Latin American and Arab countries to demonstrate the importance of moving beyond fragmented care reform policies towards comprehensive care systems. It will build on the recommendations provided by experts during ESCWA’s Expert Group Meeting on the Political Economy of Care Policies: Determinants for Reform in the Arab Region organized in July 2026. Tasks and responsibilities The consultant will be responsible for the following tasks: - Desk review: undertake a desk review of available successful and as well as unachieved experiences in advancing care policies and systems from Latin America and the Arab region; - Based on the results of the desk review, undertake consultations with relevant stakeholders on the main determinants, challenges or barriers which they have faced while working on advancing care policies and systems; - Review the results of consultations with relevant stakeholders from the Arab region on the main determinants, challenges or barriers which they have faced while working on advancing care policies and systems; - Propose the elements and dynamics among key determinants to advance care policies and systems and draw lessons for future policy making and reforms on care while taking into account the discussions and recommendations of the Expert Group Meeting above mentioned. - Suggest a detailed outline to be validated and agreed upon with ESCWA’s team in consultation with ECLAC; - Based on the agreed outline, prepare the first draft of the paper to be reviewed by ESCWA’s team; - Prepare a final draft based on the comments and recommendations provided by ESCWA and ECLAC’s teams. Supervision: The consultant will work Under the direct supervision of the Social Affairs Officer responsible for the care economy stream at the United Nations Economic and Social Commission for Western Asia (ESCWA) Ms. Rouba ARJA, and overall guidance of the gender Justice, Population and Inclusive Development cluster leader. The consultant is expected to provide regular updates on the work progress.<br> Qualifications/special skills<br>A master’s degree in economy, or sociology, or law or gender studies or related area is required. A PhD in one of these fields is desirable. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of 10 years of professional work experience in areas related to public policy making is required. Previous experience in social policy reform and changes is required. Previous experience in working on care policies is desirable.<br> Languages<br>English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English is required. Knowledge of Spanish and/or Arabic is desirable. Note: “Fluency” equals a rating of ‘fluent’ in all four areas (speak, read, write, and understand) and “Knowledge of” equals a rating of ‘confident’ in two of the four areas.<br> Additional Information<br>Not available.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Work Location<br>Remote<br> Expected duration<br>2 months<br> Duties and Responsibilities<br>I. Background The Arab region has the highest inequality in the world, and it is growing. The United Nations Economic and Social Commission for Western Asia (ESCWA) has launched a project entitled ‘Inequality in the Arab region’, to better understand the nature of the multidimensional and overlapping inequalities faced by people in the Arab region, to identify key drivers, and provide policy solutions to policymakers for addressing these inequalities. The project has three components: (1) a flagship study on a thematic aspect of multidimensional inequality; (2) a high-level forum held annually in June; and (3) practical initiatives on the country level in addressing a specific theme of multidimensional inequality. The 2027 Intergenerational Inequality Report will mark a turning point in how the Arab region understands and prepares for the future of inequality. Building on UNESCWA’s multidimensional inequality framework and the Arab Vision 2045, the 2027 edition will adopt a strategic foresight lens to anticipate how inequality could evolve over the next two decades, and what can be done today to shape more equitable futures. The Arab region stands at a crossroads. Structural inequalities (economic, social, gendered, spatial, and generational) are intersecting with accelerating technological, environmental, and geopolitical transformations. Artificial intelligence, demographic transitions, climate stress, and shifting labour markets are altering opportunity landscapes and intergenerational mobility. A foresight component will enable UNESCWA to move beyond trend extrapolation to explore plausible, diverse, and disruptive futures of inequality in the Arab region. It will provide policymakers, researchers, and youth with an evidence-informed, imagination-driven foundation for long-term policy action. ESCWA seeks to engage an intern to support the 2027 Inequality in the Arab region report, including questioning how the future scenarios developed for the region will impact multidimensional inequalities. II. Tasks and Deliverables The intern is requested to: • Support analysis of multidimensional inequality in the Arab region in 2045 • Draft at least 1 policy write-up for the inequality solutions portal • Support other areas of the inequality portfolio as requested • Support small tasks in the run-up to the Arab Forum for Equality, depending on time and need.<br> Qualifications/special skills<br>To qualify for an internship with the United Nations Internship Programme, the following conditions must be met: 1. Applicants must: (a) be enrolled in a graduate school programme (Second university degree or equivalent, or higher); (b) be enrolled in the final academic year of a first university degree programme (minimum bachelor's level or equivalent); or (c) have graduated with a university degree (as defined above); 2. Applicants must: (a) be computer literate in standard software applications. (b) have a demonstrated keen interest in the work of the United Nations and have a personal commitment to the ideals of the UN Charter; and (c) have a demonstrated ability to successfully interact with individuals of different cultural backgrounds and beliefs, which include willingness to try and understand and be tolerant of differeing opinions and vies. No previous work experience is required for this job opening<br> Languages<br>English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English &amp; Arabic is required. Note: “Fluency” equals a rating of ‘fluent’ in all four areas (speak, read, write, and understand) and “Knowledge of” equals a rating of ‘confident’ in two of the four areas.<br> Additional Information<br>Not available.<br> Intern Specific text<br>Interns are not financially remunerated by the United Nations. Costs and arrangements for travel, visas, accommodation and living expenses are the responsibility of interns or their sponsoring institutions. Interns who are not citizens or permanent residents of the country where the internship is undertaken, may be required to obtain the appropriate visa and work/employment authorization. Successful candidates should discuss their specific visa requirements before accepting the internship offer.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br> </div>

<p><br></p><p><strong>Scope of work, responsibilities and description of the proposed analytical work</strong><br>The overall objective of the consultancy is to support the Municipality of Tripoli in developing:</p><ul><li>A revised, evidence-based classification and division of neighborhoods and localities within Tripoli Municipality, based on social, demographic, geographic, governance, and conflict-sensitivity considerations.</li><li>A proposed methodology for establishing representative neighborhood committees through locally endorsed community-election processes. The proposed neighborhood committees are envisioned as sustainable social-stability and participatory-governance mechanisms formally linked to the municipality. They will support improved coordination between communities, the municipality, donors, and development actors while strengthening legitimacy, representation, accountability, and social cohesion at the neighborhood level.</li></ul><p>Under the supervision of the Local Peacebuilding Coordinator in the North and the Peacebuilding Project Manager, the Consultant will undertake the following tasks:</p><p><strong>Review and analysis of existing resources and context</strong></p><ul><li>Conduct a desk review of existing resources related to Tripoli s governance, urban divisions, social dynamics, local conflict drivers, and participatory mechanisms.</li><li>Review and analyze the findings of the Conflict Analysis Report.</li><li>Identify and document the principal criteria and considerations for redefining and classifying neighborhoods and localities in Tripoli.</li><li>Consider geographic boundaries, demographic characteristics, community identities, social-cohesion dynamics, municipal service coverage, governance arrangements, and conflict-sensitivity factors.</li></ul><p><strong>Stakeholder consultations and participatory mapping</strong></p><ul><li>Conduct consultations with municipal officials, Mokhtars, civil society organizations, youth and women representatives, community representatives, and other local actors.</li><li>Conduct participatory discussions and mapping exercises to validate existing neighborhood boundaries and identify community-representation structures.</li><li>Analyze local-governance dynamics and social-cohesion and tension-related considerations relevant to neighborhood classification and committee formation.</li><li>Submit a summary report documenting the consultations, key findings, and recommendations.</li></ul><p><br></p><p><strong>Expected outputs and deliverables</strong><br>The consultancy consists of 30 working days distributed over four months. The Consultant is expected to complete the following deliverables:</p><p><strong>Deliverable 1: Inception report</strong><br>5 working days<br>The Consultant shall submit an inception report including:</p><ul><li>The proposed methodology and analytical framework.</li><li>A detailed work plan and timeline.</li><li>Stakeholder mapping and engagement approach.</li><li>Proposed data-collection methods and tools.</li><li>Key milestones and expected outputs.</li><li>A basic risk assessment and mitigation measures.</li><li>A quality-assurance approach.</li></ul><p>The deliverable is expected during the first month following contract signature and represents 15% of the total contract value.</p><p><strong>Deliverable 2: Stakeholder consultation and participatory mapping report</strong><br>15 working days<br>The Consultant shall conduct a participatory consultation process with relevant stakeholders and submit a comprehensive report documenting:</p><ul><li>The consultation methodology and stakeholder-engagement process.</li><li>Key findings from consultations.</li><li>Participatory mapping results.</li><li>Existing neighborhood boundaries and community-representation structures.</li><li>Local-governance and conflict-sensitive considerations.</li><li>Recommendations to inform the neighborhood-classification framework and committee-formation methodology.</li></ul><p>The deliverable is expected during the second month following contract signature and represents 45% of the total contract value.</p><p><strong>Deliverable 3: Draft neighborhood-classification framework and neighborhood-committee formation methodology</strong><br>5 working days<br>The Consultant shall submit:</p><ul><li>A draft evidence-based and conflict-sensitive neighborhood-classification framework.</li><li>Proposed classification criteria and supporting analysis.</li><li>Neighborhood profiles and a draft neighborhood-classification map.</li><li>A draft methodology for establishing representative neighborhood committees.</li><li>A proposed governance structure and committee composition.</li><li>A proposed community-election process.</li><li>Institutional linkages with the Municipality of Tripoli.</li><li>Implementation arrangements and a phased roadmap.</li></ul><p>The deliverable is expected during the third month following contract signature and represents 20% of the total contract value.</p><p><strong>Deliverable 4: Final report and validation workshop outputs</strong><br>5 working days<br>The Consultant shall:</p><ul><li>Facilitate a validation workshop with relevant stakeholders.</li><li>Present the draft neighborhood-classification framework and committee-formation methodology.</li><li>Incorporate feedback received during the validation process.</li><li>Submit a final consolidated report containing the finalized framework, methodology, key findings, and recommendations for municipal adoption and implementation.</li></ul><p>The deliverable is expected during the fourth month following contract signature and represents 20% of the total contract value.</p><p>All deliverables shall be submitted in one original hard copy and one electronic copy, preferably in Microsoft Word format where applicable.</p><p><strong>Institutional arrangements</strong><br>The Consultant will work under the supervision of the Local Peacebuilding Coordinator in the North and the Peacebuilding Project Manager.<br>UNDP will provide the Consultant with the necessary guidance in a timely, thorough, and transparent manner.<br>UNDP will provide clarifications and facilitate the work as required.<br>The Consultant shall maintain regular and consistent field presence throughout the assignment.<br>The Consultant shall properly document stakeholder consultations and field activities.<br>The Consultant shall triangulate data sources and validate findings before finalization.<br>The Consultant shall ensure compliance with data-protection, confidentiality, and ethical standards.<br>All transportation and site-logistics costs must be included in the Consultant s financial offer and daily rate.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>A Master's degree in urban planning, governance, political science, peace and conflict studies, sociology, public administration, anthropology, or a related field.</li><li>A minimum of ten years of relevant proven experience in local development, urban planning, local governance, and peacebuilding.</li><li>Proven experience conducting at least three relevant projects or assignments in urban planning, local governance, conflict prevention, or social stability is required.</li><li>Demonstrated experience in participatory governance assessments, stakeholder consultations, neighborhood classification, conflict-sensitive programming, or community-representation processes is desirable.</li><li>Fluency in English and Arabic is required.</li><li>The selected Consultant must be covered by valid health insurance and personal accident insurance for the duration of the assignment. Insurance may be provided by the individual or the company, with any related costs deducted from the Consultant's remuneration, as applicable.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Lucidya Lucidya is an AI-native platform for customer experience (CX) intelligence that helps organizations understand their customers and take action across the entire customer lifecycle.<br> Our platform brings together products including Social Listening, OmniServe, Survey, and AI Agent, helping enterprise organizations across the region turn customer data into better experiences and measurable business outcomes.<br> As we continue to scale our products, customers, and AI capabilities, the amount of data we generate is growing rapidly.<br> The opportunity is no longer simply to report on what happened - it's to understand why it happened, what it means, and what we should do next.<br> Why this role matters We're looking for a Senior Product Analyst who can help make data a genuine part of how Product operates.<br> This isn't a role where you'll wait for a Product Manager to ask for a dashboard or pull a report after a decision has already been made.<br> You'll be expected to get close to the product, understand how customers actually use it, spot patterns others may have missed, and bring insights to the table before someone asks for them.<br> You'll operate at two levels.<br> At the product and feature level , you'll help teams understand whether customers are discovering, adopting, engaging with, and getting value from what we're building.<br> You'll identify friction, investigate unexpected behaviour, evaluate experiments, and help teams decide what to improve, scale, reposition, or stop.<br> At the leadership level , you'll connect those individual product signals to the bigger picture - helping leadership understand product performance, emerging opportunities, risks, and where we should invest next.<br> The strongest person in this role will be able to move comfortably between a SQL query, a conversation with a Product Manager, and a leadership presentation - and translate the same data into something meaningful for each audience.<br> What You'll Do Turn product data into decisions.<br> You'll go beyond reporting what happened to understand why it happened, what it means, and what Product should do differently as a result.<br> Help teams define what success actually means.<br> You'll work with Product Managers and other stakeholders to establish meaningful KPIs, success metrics, and measurement plans before features and initiatives are launched.<br> Understand how customers use our products.<br> You'll analyse journeys, funnels, cohorts, adoption, engagement, retention, churn, and behavioural patterns to identify where customers are succeeding and where they're getting stuck.<br> Evaluate whether our products are delivering value.<br> You'll assess feature performance and help teams make evidence-based decisions about whether to improve, scale, reposition, or discontinue initiatives.<br> Bring insights into product discovery.<br> You'll use quantitative evidence alongside customer, product, and market context to help teams understand which problems are worth solving and where the biggest opportunities exist.<br> Challenge assumptions with evidence.<br> When a team believes a feature is working, adoption is strong, or customers are behaving a certain way, you'll be comfortable asking, “What does the data actually tell us?<br>” — constructively and without creating friction.<br> Identify opportunities before you're asked.<br> You won't wait for a stakeholder to request a report.<br> You'll proactively investigate anomalies, emerging trends, underperforming areas, and changes in customer behaviour and bring forward the ones that matter.<br> Support experimentation.<br> You'll help teams define hypotheses, success criteria, and measurement approaches, then analyse experiments and A/B tests to determine what the evidence tells us.<br> Make complex analysis easy to understand.<br> You'll turn large datasets and complicated analysis into clear stories, visualisations, recommendations, and decisions that make sense to both technical and non-technical audiences.<br> Give leadership a clear view of product performance.<br> You'll create reporting that connects detailed product and feature performance to broader business objectives, highlighting progress, drivers, risks, and recommended actions rather than simply presenting numbers.<br> Help Product become more self-sufficient with data.<br> You'll build repeatable analytical frameworks, dashboards, documentation, and self-service resources so teams don't need to come to you for every question.<br> Raise data literacy across Product.<br> You'll coach Product Managers on metrics, analysis, and interpretation, and use workshops, office hours, and day-to-day collaboration to make better use of data part of how the team works.<br> Build trust across teams.<br> You'll work closely with Product, Design, Engineering, and business stakeholders and influence decisions without relying on formal authority.<br> What Success Looks Like In your first 3-6 months, you'll be building trust.<br> Product teams know you as someone who understands the product, asks the right questions, and brings useful insights rather than simply producing reports.<br> As you establish yourself, you'll start changing how decisions are made.<br> Product Managers are defining meaningful success metrics earlier, teams are using evidence to evaluate their decisions, and you're proactively surfacing opportunities and risks rather than responding to reporting requests.<br> Ultimately, success means Product becomes more intelligent.<br> Leadership has a clear view of what's driving product performance, teams understand why customers behave the way they do, and decisions about priorities and investment are increasingly based on evidence rather than assumptions.<br> The shift we're looking for is simple: From “What happened?<br>” → “Why did it happen?<br>” → “What should we do about it?<br>" Who You Are You're naturally curious.<br> When you see an unexpected number, you don't just add it to a report — you want to know what's behind it.<br> You think commercially, not just analytically.<br> You understand that an interesting insight isn't necessarily a useful one.<br> You can connect product behaviour to customer value, business performance, and investment decisions.<br> You don't need to be given the question.<br> You're comfortable starting with an ambiguous problem, figuring out what needs to be understood, and determining what analysis will actually help answer it.<br> You can zoom in and out.<br> You can spend time investigating why a particular feature's adoption dropped while still understanding how that finding connects to the wider product strategy.<br> You're willing to challenge people.<br> You don't simply validate what a stakeholder already believes.<br> You're comfortable presenting evidence that contradicts an assumption, while doing so in a way that builds trust rather than defensiveness.<br> You know that being right isn't enough.<br> Your analysis only creates value if people understand it and act on it.<br> You can turn complex findings into a simple story and a clear recommendation.<br> You're a strong communicator.<br> You can explain an analytical finding to a Product Manager, work through the technical detail with an Engineer, and present the business implication to leadership.<br> You're proactive and self-directed.<br> You don't wait for a ticket to appear in your queue.<br> You notice something worth investigating and take ownership of finding out what it means.<br> You're comfortable with ambiguity and a changing environment.<br> Not every question will have a clean dataset or obvious answer.<br> You know how to work with imperfect information while being transparent about its limitations.<br> You have 4+ years of experience in product analytics, digital analytics, business intelligence, or a closely related field, with experience working directly with digital Product teams.<br> You're technically strong.<br> You can independently use SQL to explore and analyse large datasets and are comfortable working with product analytics or business intelligence platforms such as Mixpanel, Heap, Pendo, Metabase, Amplitude, Looker, Tableau, Power BI, or similar tools.<br> You understand product metrics deeply , including funnels, journeys, cohorts, retention, engagement, adoption, churn, and customer behaviour.<br> You can translate ambiguous business questions into structured analysis and understand the difference between finding a correlation and understanding what it actually means.<br> You're comfortable working remotely and can communicate effectively across teams without relying on being in the same room.<br> You have professional working proficiency in English.<br> Nice to Have Experience designing or evaluating A/B tests and experiments.<br> Experience with statistical analysis.<br> Familiarity with modern data stacks, data warehouses, transformation tools, event tracking, analytics instrumentation, or data governance.<br> Experience building or improving a product analytics function or data culture.<br> Experience presenting product recommendations to senior leadership.<br> Working knowledge of Python or R.<br> Experience working with B2B SaaS, enterprise products, AI products, or complex data-driven platforms.<br> What the hiring process will look like Recruiter screening — An initial conversation about your experience, motivations, and what you're looking for next.<br> Analytics interview — A deeper discussion around your product analytics experience, technical capability, and how you approach ambiguous analytical problems.<br> Case study / analytical exercise — You'll be given a product or business problem and asked to analyse the available information, identify the key insights, and explain what you would recommend.<br> Presentation Interview — You'll meet Product and/or business stakeholders to explore how you communicate insights, challenge assumptions, and influence decisions based on the case study.<br> Leadership / culture interview — A final conversation focused on how you operate, collaborate, handle ambiguity, and contribute to a high-performing team.<br></span> </div>

<p><h4>About Lucidya</h4> <p>Lucidya is an AI-native platform for customer experience (CX) intelligence that helps organizations understand their customers and take action across the entire customer lifecycle.</p> <p>Our platform brings together products including Social Listening, OmniServe, Survey, and AI Agent, helping enterprise organizations across the region turn customer data into better experiences and measurable business outcomes.</p> <p>As we continue to scale our products, customers, and AI capabilities, the amount of data we generate is growing rapidly. The opportunity is no longer simply to report on what happened - it's to understand why it happened, what it means, and what we should do next.</p> <h4>Why this role matters</h4> <p>We're looking for a Senior Product Analyst who can help make data a genuine part of how Product operates.</p> <p>This isn't a role where you'll wait for a Product Manager to ask for a dashboard or pull a report after a decision has already been made. You'll be expected to get close to the product, understand how customers actually use it, spot patterns others may have missed, and bring insights to the table before someone asks for them.</p> <p>You'll operate at two levels.</p> <p>At the product and feature level, you'll help teams understand whether customers are discovering, adopting, engaging with, and getting value from what we're building. You'll identify friction, investigate unexpected behaviour, evaluate experiments, and help teams decide what to improve, scale, reposition, or stop.</p> <p>At the leadership level, you'll connect those individual product signals to the bigger picture - helping leadership understand product performance, emerging opportunities, risks, and where we should invest next.</p> <p>The strongest person in this role will be able to move comfortably between a SQL query, a conversation with a Product Manager, and a leadership presentation - and translate the same data into something meaningful for each audience.</p> <h4>What you'll do</h4> <ul> <li>Turn product data into decisions. You'll go beyond reporting what happened to understand why it happened, what it means, and what Product should do differently as a result.</li> <li>Help teams define what success actually means. You'll work with Product Managers and other stakeholders to establish meaningful KPIs, success metrics, and measurement plans before features and initiatives are launched.</li> <li>Understand how customers use our products. You'll analyse journeys, funnels, cohorts, adoption, engagement, retention, churn, and behavioural patterns to identify where customers are succeeding and where they're getting stuck.</li> <li>Evaluate whether our products are delivering value. You'll assess feature performance and help teams make evidence-based decisions about whether to improve, scale, reposition, or discontinue initiatives.</li> <li>Bring insights into product discovery. You'll use quantitative evidence alongside customer, product, and market context to help teams understand which problems are worth solving and where the biggest opportunities exist.</li> <li>Challenge assumptions with evidence. When a team believes a feature is working, adoption is strong, or customers are behaving a certain way, you'll be comfortable asking, “What does the data actually tell us?” — constructively and without creating friction.</li> <li>Identify opportunities before you're asked. You won't wait for a stakeholder to request a report. You'll proactively investigate anomalies, emerging trends, underperforming areas, and changes in customer behaviour and bring forward the ones that matter.</li> <li>Support experimentation. You'll help teams define hypotheses, success criteria, and measurement approaches, then analyse experiments and A/B tests to determine what the evidence tells us.</li> <li>Make complex analysis easy to understand. You'll turn large datasets and complicated analysis into clear stories, visualisations, recommendations, and decisions that make sense to both technical and non-technical audiences.</li> <li>Give leadership a clear view of product performance. You'll create reporting that connects detailed product and feature performance to broader business objectives, highlighting progress, drivers, risks, and recommended actions rather than simply presenting numbers.</li> <li>Help Product become more self-sufficient with data. You'll build repeatable analytical frameworks, dashboards, documentation, and self-service resources so teams don't need to come to you for every question.</li> <li>Raise data literacy across Product. You'll coach Product Managers on metrics, analysis, and interpretation, and use workshops, office hours, and day-to-day collaboration to make better use of data part of how the team works.</li> <li>Build trust across teams. You'll work closely with Product, Design, Engineering, and business stakeholders and influence decisions without relying on formal authority.</li> </ul> <h4>What success looks like</h4> <p>In your first 3-6 months, you'll be building trust. Product teams know you as someone who understands the product, asks the right questions, and brings useful insights rather than simply producing reports.</p> <p>As you establish yourself, you'll start changing how decisions are made. Product Managers are defining meaningful success metrics earlier, teams are using evidence to evaluate their decisions, and you're proactively surfacing opportunities and risks rather than responding to reporting requests.</p> <p>Ultimately, success means Product becomes more intelligent. Leadership has a clear view of what's driving product performance, teams understand why customers behave the way they do, and decisions about priorities and investment are increasingly based on evidence rather than assumptions.</p> <p>The shift we're looking for is simple:</p> <p>From “What happened?” ? “Why did it happen?” ? “What should we do about it?”</p> <h4>Requirements</h4> <h4>Who you are</h4> <ul> <li>You're naturally curious. When you see an unexpected number, you don't just add it to a report — you want to know what's behind it.</li> <li>You think commercially, not just analytically. You understand that an interesting insight isn't necessarily a useful one. You can connect product behaviour to customer value, business performance, and investment decisions.</li> <li>You don't need to be given the question. You're comfortable starting with an ambiguous problem, figuring out what needs to be understood, and determining what analysis will actually help answer it.</li> <li>You can zoom in and out. You can spend time investigating why a particular feature's adoption dropped while still understanding how that finding connects to the wider product strategy.</li> <li>You're willing to challenge people. You don't simply validate what a stakeholder already believes. You're comfortable presenting evidence that contradicts an assumption, while doing so in a way that builds trust rather than defensiveness.</li> <li>You know that being right isn't enough. Your analysis only creates value if people understand it and act on it. You can turn complex findings into a simple story and a clear recommendation.</li> <li>You're a strong communicator. You can explain an analytical finding to a Product Manager, work through the technical detail with an Engineer, and present the business implication to leadership.</li> <li>You're proactive and self-directed. You don't wait for a ticket to appear in your queue. You notice something worth investigating and take ownership of finding out what it means.</li> <li>You're comfortable with ambiguity and a changing environment. Not every question will have a clean dataset or obvious answer. You know how to work with imperfect information while being transparent about its limitations.</li> <li>You have 4+ years of experience in product analytics, digital analytics, business intelligence, or a closely related field, with experience working directly with digital Product teams.</li> <li>You're technically strong. You can independently use SQL to explore and analyse large datasets and are comfortable working with product analytics or business intelligence platforms such as Mixpanel, Heap, Pendo, Metabase, Amplitude, Looker, Tableau, Power BI, or similar tools.</li> <li>You understand product metrics deeply, including funnels, journeys, cohorts, retention, engagement, adoption, churn, and customer behaviour.</li> <li>You can translate ambiguous business questions into structured analysis and understand the difference between finding a correlation and understanding what it actually means.</li> <li>You're comfortable working remotely and can communicate effectively across teams without relying on being in the same room.</li> <li>You have professional working proficiency in English.</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience designing or evaluating A/B tests and experiments.</li> <li>Experience with statistical analysis.</li> <li>Familiarity with modern data stacks, data warehouses, transformation tools, event tracking, analytics instrumentation, or data governance.</li> <li>Experience building or improving a product analytics function or data culture.</li> <li>Experience presenting product recommendations to senior leadership.</li> <li>Working knowledge of Python or R.</li> <li>Experience working with B2B SaaS, enterprise products, AI products, or complex data-driven platforms.</li> </ul> <h4>What the hiring process will look like</h4> <ul> <li>Recruiter screening — An initial conversation about your experience, motivations, and what you're looking for next.</li> <li>Analytics interview — A deeper discussion around your product analytics experience, technical capability, and how you approach ambiguous analytical problems.</li> <li>Case study / analytical exercise — You'll be given a product or business problem and asked to analyse the available information, identify the key insights, and explain what you would recommend.</li> <li>Presentation interview — You'll meet Product and/or business stakeholders to explore how you communicate insights, challenge assumptions, and influence decisions based on the case study.</li> <li>Leadership / culture interview — A final conversation focused on how you operate, collaborate, handle ambiguity, and contribute to a high-performing team.</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We're hiring a Sales Representative to cover Chouf &amp; Aley for a leading FMCG distribution company.</p><p>Requirements:</p><p>Experience in FMCG sales.</p><p>Good knowledge of Chouf and Aley.</p><p>Valid driver's license and own vehicle.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Experience in FMCG sales.<br>Good knowledge of Chouf and Aley.<br>Valid driver's license and own vehicle.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p>Sales Representative – North Lebanon (FMCG)</p><p>We're hiring a Sales Representative to cover North Lebanon for a leading FMCG distribution company.</p><p>Requirements:</p><p>Experience in FMCG sales.</p><p>Good knowledge of North Lebanon.</p><p>Valid driver's license and own vehicle.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Experience in FMCG sales. Good knowledge of North Lebanon. Valid driver's license and own vehicle.</p><p></p></section>

We're hiring a Sales Representative to cover Chouf & Aley for a leading FMCG distribution company. <br>Requirements: <br>Experience in FMCG sales. <br>Good knowledge of Chouf and Aley. <br>Valid driver's license and own vehicle

Sales Representative – North Lebanon (FMCG) <br>We're hiring a Sales Representative to cover North Lebanon for a leading FMCG distribution company. <br>Requirements: <br>Experience in FMCG sales. <br>Good knowledge of North Lebanon. <br>Valid driver's license and own vehicle