Financial Analyst Jobs in UAE

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced health system operations analysts who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for health system operations analysts with 5+ years in hospital or health system operations, care delivery redesign, or healthcare management consulting to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: patient throughput and bed utilization models, care pathway and clinical workflow redesign proposals, hospital service line performance dashboards, payer contract and reimbursement analysis decks, staffing ratio and labor cost optimization models, and quality and patient safety improvement reports.<br><br>Compensation: $100/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 5+ years in hospital operations, health system consulting, or care delivery redesign, with direct ownership of patient throughput and service line performance work Experience building staffing, reimbursement, or patient throughput models used to brief hospital executives or health system leadership Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>5+ years in hospital operations, health system consulting, or care delivery redesign, with direct ownership of patient throughput and service line performance work Experience building staffing, reimbursement, or patient throughput models used to brief hospital executives or health system leadership Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced senior fp&a analysts who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for senior fp&a analysts with 5+ years in FP&A or corporate finance roles building forecasts and financial models to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: rolling forecast models, variance bridge decks, driver-based operating models, board-ready p&l decks, monthly flux commentary memos, and scenario sensitivity models.<br><br>Compensation: $100/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 5+ years in FP&A or corporate finance building rolling forecasts, variance bridges, and driver-based operating models for a growing company Track record of producing board-ready p&l decks and monthly flux commentary memos that finance leadership can present without rework Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>5+ years in FP&A or corporate finance building rolling forecasts, variance bridges, and driver-based operating models for a growing company Track record of producing board-ready p&l decks and monthly flux commentary memos that finance leadership can present without rework Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced monetization analysts who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for monetization analysts with 5+ years in pricing strategy, revenue economics, or monetization analysis to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: price elasticity models and willingness-to-pay analyses, packaging and tiering recommendation decks, discount governance and deal desk guardrail spreadsheets, competitive price benchmarking summaries, revenue waterfall models and margin impact analyses, and pricing experiment readouts for executive stakeholders.<br><br>Compensation: $90/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 5+ years in pricing strategy, revenue economics, or monetization analysis, with direct ownership of price elasticity models and packaging and tiering recommendations Advanced fluency in willingness-to-pay analysis, discount governance, and building revenue waterfall models in Excel or Google Sheets Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>5+ years in pricing strategy, revenue economics, or monetization analysis, with direct ownership of price elasticity models and packaging and tiering recommendations Advanced fluency in willingness-to-pay analysis, discount governance, and building revenue waterfall models in Excel or Google Sheets Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced data analysts who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for data analysts with 4+ years building dashboards, reporting pipelines, and data-driven business narratives to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: executive KPI dashboards, monthly business performance decks, ad hoc SQL data pulls, data quality and validation checklists, metric definition glossaries, and self-serve reporting templates for stakeholders.<br><br>Compensation: $80/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years building and maintaining BI dashboards, KPI reporting, and self-serve analytics for business stakeholders Fluency in SQL and at least one BI/visualization tool with a proven track record of turning raw data into clear, decision-ready business narratives Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years building and maintaining BI dashboards, KPI reporting, and self-serve analytics for business stakeholders Fluency in SQL and at least one BI/visualization tool with a proven track record of turning raw data into clear, decision-ready business narratives Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced management information analysts who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for management information analysts with 4+ years building dashboards, reporting pipelines, and data-driven business narratives to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: executive KPI dashboards, monthly business performance decks, ad hoc SQL data pulls, data quality and validation checklists, metric definition glossaries, and self-serve reporting templates for stakeholders.<br><br>Compensation: $80/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years building and maintaining BI dashboards, KPI reporting, and self-serve analytics for business stakeholders Fluency in SQL and at least one BI/visualization tool with a proven track record of turning raw data into clear, decision-ready business narratives Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years building and maintaining BI dashboards, KPI reporting, and self-serve analytics for business stakeholders Fluency in SQL and at least one BI/visualization tool with a proven track record of turning raw data into clear, decision-ready business narratives Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

About This Opportunity<br><br>We're working with a leading foundational AI lab to find experienced reporting analysts who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.<br><br>We're looking for reporting analysts with 4+ years building dashboards, reporting pipelines, and data-driven business narratives to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: executive KPI dashboards, monthly business performance decks, ad hoc SQL data pulls, data quality and validation checklists, metric definition glossaries, and self-serve reporting templates for stakeholders.<br><br>Compensation: $80/hour<br><br>Commitment: Flexible, 5-20 hours per week (or more if desired)<br><br>Location: Fully remote, work on your own schedule<br><br>Start date: ASAP<br><br>Qualifications<br><br> 4+ years building and maintaining BI dashboards, KPI reporting, and self-serve analytics for business stakeholders Fluency in SQL and at least one BI/visualization tool with a proven track record of turning raw data into clear, decision-ready business narratives Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail<br><br>About Ethos<br><br>Ethos is a new expert network built by a McKinsey/Soft Bank/Deep Mind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.<br><br>Key Requirements<br><br>4+ years building and maintaining BI dashboards, KPI reporting, and self-serve analytics for business stakeholders Fluency in SQL and at least one BI/visualization tool with a proven track record of turning raw data into clear, decision-ready business narratives Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail

Begin your career in software testing by helping test applications, identifying issues, recording results, and supporting the development team to improve software quality. A great opportunity to gain hands-on experience in the tech industry. Qualifications:No experience required. We welcome motivated individuals with basic computer skills, strong attention to detail, and a willingness to learn. Full training and ongoing support are provided.

Begin your career in software testing by helping test applications, identifying issues, recording results, and supporting the development team to improve software quality. A great opportunity to gain hands-on experience in the tech industry. Qualifications:No experience required. We welcome motivated individuals with basic computer skills, strong attention to detail, and a willingness to learn. Full training and ongoing support are provided.

Begin your career in software testing by helping test applications, identifying issues, recording results, and supporting the development team to improve software quality. A great opportunity to gain hands-on experience in the tech industry. Qualifications:No experience required. We welcome motivated individuals with basic computer skills, strong attention to detail, and a willingness to learn. Full training and ongoing support are provided.

We are looking for enthusiastic and motivated current college students to join our upcoming Data Analytics Traineeship Program. This structured one-month program is designed to provide practical exposure to data analytics through guided learning, hands-on project experience, and professional report preparation.<br>Data Analytics Trainee Responsibilities<br>Week 1 & 2: Training Modules Complete the assigned data analytics learning modules. Week 3: Live Project Work on a live project assigned by the company. Week 4: Project Report Prepare and submit a project report based on the assigned live project.<br>Eligibility Requirement<br>Applicants must be currently enrolled in a college or university.

We are looking for enthusiastic and motivated current college students to join our upcoming Data Analytics Traineeship Program. This structured one-month program is designed to provide practical exposure to data analytics through guided learning, hands-on project experience, and professional report preparation.<br>Data Analytics Trainee Responsibilities<br>Week 1 & 2: Training Modules Complete the assigned data analytics learning modules. Week 3: Live Project Work on a live project assigned by the company. Week 4: Project Report Prepare and submit a project report based on the assigned live project.<br>Eligibility Requirement<br>Applicants must be currently enrolled in a college or university.

We are looking for enthusiastic and motivated current college students to join our upcoming Data Analytics Traineeship Program. This structured one-month program is designed to provide practical exposure to data analytics through guided learning, hands-on project experience, and professional report preparation.<br>Data Analytics Trainee Responsibilities<br>Week 1 & 2: Training Modules Complete the assigned data analytics learning modules. Week 3: Live Project Work on a live project assigned by the company. Week 4: Project Report Prepare and submit a project report based on the assigned live project.<br>Eligibility Requirement<br>Applicants must be currently enrolled in a college or university.

We are looking for Data Analytics for our upcoming traineeship program.<br>Data Analytics Trainee Responsibilities:<br>Week 1 & 2: Training Modules – Candidates will be completing the learning modules assigned. Week 3: Live Project – Candidates will be working on the live project assigned to them by the company. Week 4: Project Report – Candidates will be preparing a project report and submit.<br>Data Analytics Trainee Requirements:<br>Bachelor’s degree or pursuing. Proficiency with computers, especially MS Office. High level of accountability and motivation. Strong Interpersonal, time and project management, presentation, leadership, and communication skills. Creativity and ability to delegate responsibilities. Receptiveness to feedback and adaptability. Willingness to meet deadlines.

Role - Cyber Threat - Specialist - Emarati Talent Location - Dubai Salary - AED 35,000 plus benefits<br>Requirements Bachelor’s degree in Computer Science, Engineering, Business, or related field; Diploma with additional relevant experience is also considered Professional certifications such as CISSP, GCTI , GCFA, GNFA Experience6 to 8 years of experience in Information Security or Technology Minimum 4 to 5 years of relevant hands-on cybersecurity experience Exposure to OT SOC is a strong advantage Proven experience in cyber threat monitoring and incident handling Experience with SIEM tools, threat intelligence, and vulnerability management Strong knowledge of network security, incident response, and risk assessment<br>Email CVs to zeena@hirerightt.com

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <ul><li><span><span>Collect, analyze, and verify data and information related to the vehicle management system.&nbsp;</span></span></li><li><span><span>Analyze, evaluate, and test system outputs and data results for the purpose of developing and organizing a specialized database.</span></span></li><li><span><span>providing a backup information system to support the main system.</span></span></li><li><span><span>Monitor users of the vehicle management system in accordance with approved work plans, performance indicators, and quality standards.</span></span>.</li></ul> <ul><li><span><span>Educational Qualifications: Bachelor’s degree&nbsp;</span></span></li><li><span><span>Major: Computer Science - Computer Systems Engineering</span></span></li><li><span><span>Experience: 3 years and above.</span></span></li></ul> </div>

Job Purpose: Assist in managing day-to-day Escrow transactions. Perform key tasks under the supervision of the Senior Escrow Officer, which includes document preparation, client communication, issue resolution, & compliance with RERA regulations.<br>Key Accountabilities:Track & maintain unit buyer inflow based on client payments. Preparation of all documentation related to the A/C opening of the developer, as well as the Escrow A/C. Reconcile Escrow Sub account reconciliation. Maintaining proper records of daily transactions. Report daily Escrow transactions to the Dubai Land online platform (TAS). Preparation of the Collection Report. Preparation of Cashflows - Outflows. Preparing monthly reports to be presented to RERA. Maintaining client files as per RERA regulations. Verification of the "payment request" as per RERA rules & regulations. Processing of operations on the Escrow A/C (receivables from client-retention A/C). Preparation and validation of all documents related to any payments issued from Escrow A/C (Management, Construction, Marketing, Sales, etc.)<br>Qualifications:Bachelors Degree Minimum of 1 year experience in Banking under the similar role Knowledge in Microsoft Office related software Fluency in Arabic & English

We are looking for enthusiastic and motivated current college students to join our upcoming Data Analytics Traineeship Program. This structured one-month program is designed to provide practical exposure to data analytics through guided learning, hands-on project experience, and professional report preparation.<br>Data Analytics Trainee Responsibilities<br>Week 1 & 2: Training Modules Complete the assigned data analytics learning modules. Week 3: Live Project Work on a live project assigned by the company. Week 4: Project Report Prepare and submit a project report based on the assigned live project.<br>Eligibility Requirement<br>Applicants must be currently enrolled in a college or university.

Job Description: Collect, process, and analyze data to provide actionable insights that support business decisions. Develop and maintain dashboards, reports, and data visualization tools to track key performance indicators (KPIs). Work closely with cross-functional teams to identify data trends, patterns, and opportunities for process improvement. Clean, validate, and interpret large datasets from multiple sources to ensure data accuracy and consistency. Assist in developing predictive models and automation tools to enhance data-driven decision-making. Present findings and recommendations to management and stakeholders in a clear, concise manner. Requirements: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field. Proven experience in data analysis, business intelligence, or similar analytical roles. Proficiency in SQL, Excel, and data visualization tools such as Power BI or Tableau. Knowledge of Python or R for data processing and statistical analysis is an advantage. Strong analytical, problem-solving, and communication skills. Ability to work independently and handle multiple projects simultaneously. Benefits: Competitive salary with performance-based bonuses. Opportunities for professional growth and advanced data training. Collaborative and innovative work culture. Flexible or hybrid working arrangements.

Job Description: Collect, process, and analyze data to provide actionable insights that support business decisions. Develop and maintain dashboards, reports, and data visualization tools to track key performance indicators (KPIs). Work closely with cross-functional teams to identify data trends, patterns, and opportunities for process improvement. Clean, validate, and interpret large datasets from multiple sources to ensure data accuracy and consistency. Assist in developing predictive models and automation tools to enhance data-driven decision-making. Present findings and recommendations to management and stakeholders in a clear, concise manner. Requirements: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field. Proven experience in data analysis, business intelligence, or similar analytical roles. Proficiency in SQL, Excel, and data visualization tools such as Power BI or Tableau. Knowledge of Python or R for data processing and statistical analysis is an advantage. Strong analytical, problem-solving, and communication skills. Ability to work independently and handle multiple projects simultaneously. Benefits: Competitive salary with performance-based bonuses. Opportunities for professional growth and advanced data training. Collaborative and innovative work culture. Flexible or hybrid working arrangements.

Descrição do Cargo O cargo de proprietário em Plan International Moçambique em Pemba é responsável pela gestão estratégica e operacional das atividades locais da organização em regime de tempo integral. No dia a dia a pessoa neste cargo acompanha a execução dos projetos, assegura o cumprimento de políticas internas e padrões de qualidade, gerencia recursos financeiros e materiais e garante a conformidade com normas legais e institucionais. Também coordena equipes, promove um ambiente de trabalho seguro e inclusivo, monitora resultados, prepara relatórios e participa de reuniões com parceiros comunitários e institucionais. Este é um cargo presencial em Pemba que requer atuação próxima às comunidades e demais partes interessadas para assegurar o alinhamento dos projetos aos objetivos da organização e às necessidades locais. Qualificações Experiência em gestão de operações, administração de recursos e supervisão de equipes em organizações sociais ou projetos comunitários. Conhecimento em gestão financeira básica, elaboração de relatórios e acompanhamento de indicadores de desempenho. Habilidade para se relacionar com comunidades, parceiros locais e instituições governamentais com postura ética respeitosa e colaborativa. Capacidade de liderança, tomada de decisão e resolução de problemas em ambientes desafiadores. Formação desejável em áreas como gestão, administração, desenvolvimento comunitário ou áreas afins e experiência prévia em organizações não governamentais será considerada um diferencial. Disponibilidade para atuar presencialmente em Pemba fluência em português e desejável conhecimento de idiomas locais ou inglês.