Data Entry Jobs in UAE

En Decide4AI buscamos un/a Senior Data Scientist con disponibilidad para trabajar presencialmente en Abu Dhabi hasta, al menos, principios de 2027.<br>Formarás parte de un programa estratégico de Transformación Digital e Inteligencia Artificial para una de las compañías energéticas más importantes del mundo, trabajando junto a equipos internacionales en iniciativas con impacto global y visión a largo plazo.<br>Buscamos una persona práctica, versátil y orientada a la ejecución, capaz de participar en todas las fases de una solución de Data Science.<br><br>???? ¿Qué harás????? Trabajar directamente con stakeholders del cliente para entender retos de negocio y traducirlos en soluciones analíticas.???? Diseñar y desarrollar soluciones de Data Science end-to-end, desde la exploración de datos hasta la puesta en producción.???? Construir modelos de Machine Learning, pipelines de datos y soluciones analíticas escalables.???? Participar en proyectos de Data Engineering, Machine Learning, Optimización e IA Generativa.???? Colaborar con equipos multidisciplinares de Data Science, Ingeniería y Negocio.???? Comunicar resultados e impacto a perfiles técnicos y ejecutivos (C-level).<br><br>???? ¿Cómo trabajarás? Te integrarás en un equipo internacional de aproximadamente 15 profesionales trabajando desde las oficinas del cliente en Abu Dhabi. El trabajo es principalmente presencial, colaborando estrechamente con cliente y equipos técnicos en un entorno altamente dinámico, multicultural y orientado a resultados. Trabajarás sobre tecnologías y proyectos relacionados con Data Science, Data Engineering, Machine Learning, Optimización e Inteligencia Artificial, utilizando principalmente Python, tecnologías cloud y arquitecturas modernas de datos.<br><br>???? ¿Qué buscamos?✅ Nivel de inglés equivalente a C2 (imprescindible).✅ Disponibilidad para trabajar presencialmente en Abu Dhabi.✅ Experiencia sólida desarrollando soluciones de Data Science en entornos reales de negocio.✅ Experiencia trabajando directamente con clientes o stakeholders.✅ Excelente capacidad de comunicación y resolución de problemas.✅ Dominio de Python, Machine Learning y procesamiento de datos.✅ Experiencia con plataformas cloud (Azure, AWS o GCP).✅ Capacidad para combinar análisis, desarrollo, modelado y puesta en producción de soluciones.✅ Curiosidad, iniciativa, capacidad de adaptación, capacidad de aprendizaje rápido y orientación a resultados.✅ Comodidad trabajando en entornos ambiguos, dinámicos y altamente colaborativos.<br><br>???? ¿Qué ofrecemos?✨ Participar en uno de los programas de Transformación Digital e IA más ambiciosos de Oriente Medio.✨ Contrato Indefinido.✨ Modelo presencial en Abu Dhabi desde las oficinas del cliente. Opción teletrabajo un día a la semana.✨ Alojamiento en hotel de cinco estrellas durante toda la estancia.✨ 100 € diarios para manutención.✨ Cuenta corporativa de Uber y tarjeta de gastos.✨ Un vuelo de ida y vuelta a España cada 4-6 semanas (o vuelo equivalente para tu pareja a Abu Dhabi).✨ Bonus mensual de desplazamiento de 1.500 €.✨ Seguro médico internacional premium.✨ Posibilidad de extensión del proyecto hasta agosto de 2027.✨ 500€ anuales en formación, asignados explícitamente a necesidades formativas del empleado.✨ Tarjeta regalo de 100€ de Amazon en Navidad.✨ 23 días de vacaciones al año.

We are working with a global systems integrator helping organizations transform through modernization of applications, data, platforms, and operating models. They partner with major global enterprises to architect and deliver forward-looking digital solutions across cloud, Saa S, and hybrid environments, enabling innovation at scale.<br>Responsibilities Lead strategic consulting conversations, identifying transformation opportunities across application portfolios, data platforms, and AI/automation strategy. Lead strategic pre-sales engagements, guiding clients through enterprise application, data, and AI transformation. Design complex cloud-native architectures, influence senior stakeholders, and collaborate with client executives, delivery teams, and partners to shape and secure large-scale transformation programmes. Translate business and technology requirements into end-to-end solution architectures, including reference models, migration patterns, and capability roadmaps. Architect application modernization solutions including re-platforming, containerization, microservices, API enablement, and event-driven patterns. Design data and AI architectures including data lakes, MLOps frameworks, and analytics platforms leveraging Azure-native services. Integrate Saa S and enterprise systems (e.g., Oracle, CRM, ERP platforms), ensuring interoperability, governance, and security alignment. Develop solution proposals, RFP responses, estimates, and Statements of Work in collaboration with pursuit and delivery teams. Lead executive and technical workshops to shape strategic outcomes and drive solution direction. Apply enterprise architecture frameworks (TOGAF or equivalent) to ensure scalable, governed, and value-aligned solution design. Act as a trusted advisor from early engagement through deal closure, ensuring feasibility, clarity, and delivery confidence.<br>Experience Extensive across solution architecture, application modernization, or cloud transformation roles, ideally within global system integrators or large enterprise consulting environments. Proven delivery background before moving into pre-sales, able to demonstrate real-world implementation understanding. Strong experience designing application modernization and integration architectures, including APIs, containers, Kubernetes, and event-driven patterns. Experience with Azure application and data services, including Paa S, serverless, databases, analytics, and AI toolchains. Track record in complex Saa S/enterprise system integration, particularly Oracle, CRM/ERP, and industry platforms. Demonstrated success in shaping and winning large-scale transformation programs. Exceptional communication and stakeholder management skills, comfortable engaging both C-level stakeholders and senior technical audiences. Enterprise architecture certification (e.g., TOGAF) strongly preferred. Azure Solution Architect Expert or equivalent cloud certification advantageous.

We are working with a global systems integrator helping organizations transform through modernization of applications, data, platforms, and operating models. They partner with major global enterprises to architect and deliver forward-looking digital solutions across cloud, Saa S, and hybrid environments, enabling innovation at scale.<br>Responsibilities Lead strategic consulting conversations, identifying transformation opportunities across application portfolios, data platforms, and AI/automation strategy. Lead strategic pre-sales engagements, guiding clients through enterprise application, data, and AI transformation. Design complex cloud-native architectures, influence senior stakeholders, and collaborate with client executives, delivery teams, and partners to shape and secure large-scale transformation programmes. Translate business and technology requirements into end-to-end solution architectures, including reference models, migration patterns, and capability roadmaps. Architect application modernization solutions including re-platforming, containerization, microservices, API enablement, and event-driven patterns. Design data and AI architectures including data lakes, MLOps frameworks, and analytics platforms leveraging Azure-native services. Integrate Saa S and enterprise systems (e.g., Oracle, CRM, ERP platforms), ensuring interoperability, governance, and security alignment. Develop solution proposals, RFP responses, estimates, and Statements of Work in collaboration with pursuit and delivery teams. Lead executive and technical workshops to shape strategic outcomes and drive solution direction. Apply enterprise architecture frameworks (TOGAF or equivalent) to ensure scalable, governed, and value-aligned solution design. Act as a trusted advisor from early engagement through deal closure, ensuring feasibility, clarity, and delivery confidence.<br>Experience Extensive across solution architecture, application modernization, or cloud transformation roles, ideally within global system integrators or large enterprise consulting environments. Proven delivery background before moving into pre-sales, able to demonstrate real-world implementation understanding. Strong experience designing application modernization and integration architectures, including APIs, containers, Kubernetes, and event-driven patterns. Experience with Azure application and data services, including Paa S, serverless, databases, analytics, and AI toolchains. Track record in complex Saa S/enterprise system integration, particularly Oracle, CRM/ERP, and industry platforms. Demonstrated success in shaping and winning large-scale transformation programs. Exceptional communication and stakeholder management skills, comfortable engaging both C-level stakeholders and senior technical audiences. Enterprise architecture certification (e.g., TOGAF) strongly preferred. Azure Solution Architect Expert or equivalent cloud certification advantageous.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>We are seeking a highly organised, proactive and detail-oriented <b>Data Executive</b> to join our school team, with primary responsibility for <b>student attendance, punctuality and attendance data management</b> across the school.</span></p> <p><span>The successful candidate will work closely with students, parents, teachers, data teams and senior leaders to ensure attendance records are accurate, concerns are followed up promptly and attendance trends are effectively monitored.</span></p> <p><b><span>Key Responsibilities</span></b></p> <ul> <li><span>Monitor and maintain accurate <b>daily student attendance and punctuality records</b> across the school.</span></li> <li><span>Ensure morning and lesson registers are completed accurately and within required timelines.</span></li> <li><span>Follow up promptly on <b>missing registers, unexplained absences and late arrivals</b>.</span></li> <li><span>Contact parents and guardians regarding unexplained student absences where required.</span></li> <li><span>Record and update absence reasons and appropriate attendance codes within the school MIS.</span></li> <li><span>Monitor students arriving late or leaving school early and maintain accurate records.</span></li> <li><span>Identify patterns of <b>persistent absence, repeated lateness and declining attendance</b> and escalate concerns to relevant pastoral and senior leaders.</span></li> <li><span>Produce <b>daily, weekly, monthly, termly and annual attendance reports</b>.</span></li> <li><span>Analyse attendance data by student, year group, phase, demographic group and other relevant categories.</span></li> <li><span>Support Heads of Year, pastoral leaders and senior leadership with attendance analysis and intervention tracking.</span></li> <li><span>Maintain accurate records of attendance-related communication and actions taken.</span></li> <li><span>Assist with attendance letters, notifications and parent communications.</span></li> <li><span>Support meetings with parents regarding attendance and punctuality concerns when required.</span></li> <li><span>Work closely with safeguarding and pastoral teams where attendance concerns may indicate wider student welfare issues.</span></li> <li><span>Conduct regular data-quality checks to ensure attendance records are complete and accurate.</span></li> <li><span>Support the preparation of <b>attendance dashboards, KPIs and leadership reports</b>.</span></li> <li><span>Prepare attendance information required for school reviews, inspections, audits and regulatory reporting.</span></li> <li><span>Support positive attendance and punctuality initiatives across the school.</span></li> <li><span>Maintain strict confidentiality when handling student and family information.</span></li> </ul> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div>

Role: Senior Data Annotation Specialist - Privacy & Compliance (Remote) Location: Remote (Work from Anywhere) Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Privacy Annotation Specialist to work on a contractual basis. This role involves reviewing and annotating data to ensure compliance with privacy regulations and ethical guidelines in the development of AI models. The work contributes to the creation of high-quality datasets that power machine learning systems while mitigating privacy risks. Accuracy and attention to detail are essential to support responsible AI deployment.<br>Key Responsibilities:• Review and classify text, images, or other data types for privacy-sensitive content in alignment with specified guidelines.• Annotate datasets to identify personally identifiable information, sensitive attributes, or regulatory violations.• Collaborate with cross-functional teams to refine annotation criteria and improve dataset integrity.• Maintain detailed records of annotation decisions, discrepancies, and quality metrics for auditing purposes.• Ensure adherence to privacy frameworks and internal policies throughout the annotation process.<br>Required Skills & Qualifications:• Experience in data annotation, content moderation, or privacy-related roles with a focus on compliance.• Knowledge of privacy regulations such as GDPR, CCPA, or other relevant frameworks.• Proficiency in using annotation tools, spreadsheets, or data labeling platforms.• Strong attention to detail to accurately identify and categorize sensitive information.• Ability to work independently in a remote environment with minimal supervision.<br>More About the Opportunity:This role offers the chance to contribute to the responsible development of AI systems by ensuring datasets meet stringent privacy standards. The work directly impacts the ethical deployment of machine learning models across global applications. Contract duration and flexibility may vary based on project needs.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.

Role: Senior Data Annotation Specialist - Privacy & Compliance (Remote) Location: Remote (Work from Anywhere) Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Privacy Annotation Specialist to work on a contractual basis. This role involves reviewing and annotating data to ensure compliance with privacy regulations and ethical guidelines in the development of AI models. The work contributes to the creation of high-quality datasets that power machine learning systems while mitigating privacy risks. Accuracy and attention to detail are essential to support responsible AI deployment.<br>Key Responsibilities:• Review and classify text, images, or other data types for privacy-sensitive content in alignment with specified guidelines.• Annotate datasets to identify personally identifiable information, sensitive attributes, or regulatory violations.• Collaborate with cross-functional teams to refine annotation criteria and improve dataset integrity.• Maintain detailed records of annotation decisions, discrepancies, and quality metrics for auditing purposes.• Ensure adherence to privacy frameworks and internal policies throughout the annotation process.<br>Required Skills & Qualifications:• Experience in data annotation, content moderation, or privacy-related roles with a focus on compliance.• Knowledge of privacy regulations such as GDPR, CCPA, or other relevant frameworks.• Proficiency in using annotation tools, spreadsheets, or data labeling platforms.• Strong attention to detail to accurately identify and categorize sensitive information.• Ability to work independently in a remote environment with minimal supervision.<br>More About the Opportunity:This role offers the chance to contribute to the responsible development of AI systems by ensuring datasets meet stringent privacy standards. The work directly impacts the ethical deployment of machine learning models across global applications. Contract duration and flexibility may vary based on project needs.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.

Role: Senior Data Annotation Specialist - Privacy & Compliance (Remote) Location: Remote (Work from Anywhere) Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Privacy Annotation Specialist to work on a contractual basis. This role involves reviewing and annotating data to ensure compliance with privacy regulations and ethical guidelines in the development of AI models. The work contributes to the creation of high-quality datasets that power machine learning systems while mitigating privacy risks. Accuracy and attention to detail are essential to support responsible AI deployment.<br>Key Responsibilities:• Review and classify text, images, or other data types for privacy-sensitive content in alignment with specified guidelines.• Annotate datasets to identify personally identifiable information, sensitive attributes, or regulatory violations.• Collaborate with cross-functional teams to refine annotation criteria and improve dataset integrity.• Maintain detailed records of annotation decisions, discrepancies, and quality metrics for auditing purposes.• Ensure adherence to privacy frameworks and internal policies throughout the annotation process.<br>Required Skills & Qualifications:• Experience in data annotation, content moderation, or privacy-related roles with a focus on compliance.• Knowledge of privacy regulations such as GDPR, CCPA, or other relevant frameworks.• Proficiency in using annotation tools, spreadsheets, or data labeling platforms.• Strong attention to detail to accurately identify and categorize sensitive information.• Ability to work independently in a remote environment with minimal supervision.<br>More About the Opportunity:This role offers the chance to contribute to the responsible development of AI systems by ensuring datasets meet stringent privacy standards. The work directly impacts the ethical deployment of machine learning models across global applications. Contract duration and flexibility may vary based on project needs.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.

1. Operational Coverage Provide first-line triage for alerts, user queries and basic incidents; execute runbooks, escalate per SLA. Perform detailed analysis, tuning, rule creation, and remediation of incidents requiring technical troubleshooting across DLP, classification, and IRM platforms. Lead advanced investigations, root cause analysis, complex incident containment, custom rules/scripts, integration with SIEM/SOAR, and vendor engagement for bug fixes/feature requests.2. Incident & Issue Management Own incident lifecycle for data security events: detection → investigation → containment → remediation → recovery → post‑incident review. Maintain an issues register/deviation tracker; prioritize, assign ownership, and track SLA-driven resolution. Produce incident reports, RCA, and recommendations; implement corrective and preventive actions.3. Service Enhancement & Continuous Improvement Identify opportunities to improve detection fidelity, reduce false positives, and enhance user experience. Lead tuning, content updates (classification patterns, DLP fingerprints, policy sets), and automation to optimize operations. Develop and maintain playbooks, runbooks, and operational runbooks for repeatable tasks.4. Policy Review & Enforcement Collaborate with governance and legal teams to design, review, and update data security policies and acceptable use frameworks. Implement and enforce policies via DLP/classification controls, IRM, encryption and endpoint integrations. Ensure auditability and evidence collection for compliance and regulatory requirements. 5. Platform & Server Management Oversee deployment, configuration, hardening, patching, backup and monitoring of DLP, classification, and IRM servers/applications (on‑prem and cloud). Ensure high availability, capacity planning, performance optimization, and disaster recovery readiness. Manage integrations with identity, endpoint, email, storage and cloud services (e.g., Microsoft 365, Exchange, Share Point, Box, One Drive). 6. Architecture, Design & Enhancement Architect and validate solution designs, secure configurations and network integrations for data security tools. Produce high/low level design documents, solution architecture diagrams, and technical specifications. Conduct threat modelling and security reviews for proposed changes impacting data flows. 7. Transition & Transformation Lead technical transition activities for onboarding, migrations, or vendor replacements (discovery, cutover plans, rollback plans). Drive transformation initiatives (cloud enablement, Saa S adoption, automation, CI/CD for policies). Ensure knowledge transfer, create HLD/LLD, runbooks, training materials and handover to operations.8. Stakeholder Engagement & Reporting Liaise with SOC, IT ops, endpoint, identity, legal/compliance, data owners, and business units. Provide regular operational and executive reporting (KPI dashboards for incidents, coverage, false positives, policy enforcement, classification coverage). Support audits, compliance assessments and third‑party reviews<br>Required Qualifications & Experience Bachelor’s degree in computer science, Information Security, or related field (Master’s or relevant certifications preferred).8+ years’ experience in data security roles, with hands-on experience across DLP, Data Classification, and IRM solutions. Proven L1–L3 operational background: triage, remediation, advanced tuning and integrations. Experience managing DLP products (e.g., Forcepoint, Symantec/Digital Guardian, McAfee DLP), classification tools (Boldon James or similar, Titus), IRM (Seclore, Purview), and related ecosystem integrations. Strong server/platform administration skills (Windows/Linux), virtualization and cloud exposure (Azure/AWS). Knowledge of encryption, PKI, HSMs, and secure key management (Thales or similar). Familiarity with SIEM (Microsoft Sentinel), EDR, email gateways, and MDM integrations. Solid understanding of CIS, NIST, ISO27001 frameworks and data privacy regulations. Excellent troubleshooting, scripting (Power Shell, Python), and automation skills. Strong communication skills and experience working with cross-functional teams and senior stakeholders.<br>Desirable Certifications (Good to have) CISSP, CISM, CCSP, or equivalent Vendor-specific DLP/IRM certifications (Forcepoint/Symantec/Boldon/Seclore) Azure/AWS certifications, Microsoft 365 security certifications ITIL Foundation

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><br><ul><li><p>Drive business growth and achieve sales targets across the UAE market</p></li><li><p>Identify and develop new business opportunities within AI, Data Analytics, Cloud, SaaS, and Digital Transformation domains</p></li><li><p>Build and maintain strong relationships with clients and key stakeholders</p></li><li><p>Manage the complete sales cycle from lead generation to deal closure</p></li><li><p>Understand client requirements and provide solution-based consultative sales approaches</p></li><li><p>Collaborate with internal teams to deliver customized client solutions</p></li><li><p>Prepare sales forecasts, pipeline reports, and market insights</p></li><li><p>Represent the company at client meetings, networking events, and industry engagements</p></li></ul><br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>5+ years of UAE sales experience</p></li><li><p>Background in AI, Data Analytics, Digital Transformation, Cloud, SaaS, Consulting, or related industries</p></li><li><p>Strong UAE client network and relationship management skills</p></li><li><p>Experience in consultative / solution-led sales environments</p></li><li><p>Proven track record in business development and revenue growth</p></li></ul><br><p></p></section>

We are building a fast-growing Databricks practice delivering enterprise data and AI solutions across APAC. As Lead Solution Architect - Data Engineering, you will be the technical anchor of the practice: leading solution design on client engagements, owning and defending enterprise architectures in presales, and driving large-scale migration and cloud transformation programs. This is a hands-on leadership role for a builder who can equally command a whiteboard in front of a CTO and a Spark UI when a pipeline misbehaves. You will also shape the practice itself — mentoring engineers, creating accelerators and reusable assets, and converting delivery success into case studies and go-to-market offerings.<br><br>Architecture & Delivery<br><br>Own end-to-end architecture and design decisions on Databricks engagements, ensuring solutions are secure, scalable, performant, and aligned with Lakehouse best practices Lead delivery of production-grade data platforms — ingestion, transformation, orchestration, governance through Unity Catalog, and downstream BI/ML enablement Lead large-scale migrations (legacy DW/ETL, Hadoop, on-prem estates) and cloud transformation projects to Databricks on Azure/AWS/GCP, including assessment, wave planning, and cutover Stay hands-on: performance tuning, debugging, code and design reviews, and setting engineering standards for the team<br><br>Presales & Stakeholder Management<br><br>Own and defend enterprise solution designs in front of architecture boards, CIOs, and CTOs — and enjoy it Drive presales end-to-end: discovery, solutioning, estimation, PoCs, RFPs, and proposals that convert Translate hard technical trade-offs into decisions executives can act on — from engineer to boardroom without changing gears<br><br>Who Thrives Here<br><br>A builder at heart — 12+ years in data engineering/architecture, 3+ on Databricks at enterprise scale, and still happiest when hands are on the keyboard Deep Spark expertise — architecture, performance tuning, streaming, debugging, the advanced stuff that separates architects from diagram-drawers Lakehouse fluency — Medallion architecture, Delta Lake, Unity Catalog, governance, orchestration (Workflows, DLT/Lakeflow, Airflow, ADF); Microsoft Fabric exposure a bonus Battle-tested in migrations — you've led large transformation programs and have the scars and success stories to show for it Presales instinct — you don't just design solutions; you sell them, price them, and defend them under fire Modern edge — strong Python/SQL/Scala, CI/CD for data platforms, and comfort integrating ML/AI (MLflow, LLM APIs like Open AI and Anthropic) into what you build Certified credibility — Databricks Data Engineer Professional / SA accreditations strongly preferred Founder energy — curiosity, adaptability, and the drive to build offerings, not just deliver projects

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Our robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA, but we are hiring in the UAE for the first time.<br><br>We are looking for an AI Data Operations Manager to join Figure's Operations org and own a meaningful slice of how we produce human data for our humanoid robots. Data is one of the largest and most strategic functions at Figure, and this is a foundational role within it. You will solve zero-to-one problems and coordinate the development of new hardware, software, and operational systems with engineering and product.<br><br>Responsibilities<br><br>Day one, you will own a meaningful piece of Figure's data collection operation. You'll be hitting volume, quality, and velocity targets, building the systems that get us there, and partnering across engineering, product, and ops to make it happen. Specific responsibilities include:<br><br>Owning contributor acquisition, activation, and retention strategy and execution Identifying and launching in new geographies, managing localization, partnerships, and community building to establish presence in target regions Coordinating with engineering, product, and ops to develop the new hardware, software, and operational systems Owning your category’s data dashboard — tracking volume, quality, and throughput metrics daily, identifying bottlenecks, and shipping operational fixes fast Sourcing, negotiating, and managing relationships with local partners, agencies, and vendors to accelerate growth Serving as the connective tissue between your contributors and internal teams — surfacing hardware/software friction, translating field feedback into actionable product improvements, and advocating for your workstreams' needs<br><br>Requirements<br><br>4+ years in investment banking, management consulting, corporate development, growth, or startup operations roles, ideally with exposure to a frontier technology business Comfortable rapidly building and deploying apps/agents using AI coding tools (zero technical academic background necessary) Demonstrated ability to own outcomes Exceptional written and verbal communication skills Experience working across cultures or in international markets Highly organized with strong project management instincts — comfortable managing multiple contributors, sessions, or sites simultaneously and keeping all plates spinning A commitment to 5 days/week in-office collaboration<br><br>Bonus Qualifications<br><br>Experience scaling consumer mobile applications or marketplace platforms Background in AI/ML companies or understanding of data collection for machine learning Prior experience in emerging markets or with distributed workforces Fluency in Arabic Experience managing physical-world operations (events, field crews, hardware logistics) in addition to digital platforms

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Our robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA, but we are hiring in the UAE for the first time.<br><br>We are looking for an AI Data Operations Manager to join Figure's Operations org and own a meaningful slice of how we produce human data for our humanoid robots. Data is one of the largest and most strategic functions at Figure, and this is a foundational role within it. You will solve zero-to-one problems and coordinate the development of new hardware, software, and operational systems with engineering and product.<br><br>Responsibilities<br><br>Day one, you will own a meaningful piece of Figure's data collection operation. You'll be hitting volume, quality, and velocity targets, building the systems that get us there, and partnering across engineering, product, and ops to make it happen. Specific responsibilities include:<br><br>Owning contributor acquisition, activation, and retention strategy and execution Identifying and launching in new geographies, managing localization, partnerships, and community building to establish presence in target regions Coordinating with engineering, product, and ops to develop the new hardware, software, and operational systems Owning your category’s data dashboard — tracking volume, quality, and throughput metrics daily, identifying bottlenecks, and shipping operational fixes fast Sourcing, negotiating, and managing relationships with local partners, agencies, and vendors to accelerate growth Serving as the connective tissue between your contributors and internal teams — surfacing hardware/software friction, translating field feedback into actionable product improvements, and advocating for your workstreams' needs<br><br>Requirements<br><br>4+ years in investment banking, management consulting, corporate development, growth, or startup operations roles, ideally with exposure to a frontier technology business Comfortable rapidly building and deploying apps/agents using AI coding tools (zero technical academic background necessary) Demonstrated ability to own outcomes Exceptional written and verbal communication skills Experience working across cultures or in international markets Highly organized with strong project management instincts — comfortable managing multiple contributors, sessions, or sites simultaneously and keeping all plates spinning A commitment to 5 days/week in-office collaboration<br><br>Bonus Qualifications<br><br>Experience scaling consumer mobile applications or marketplace platforms Background in AI/ML companies or understanding of data collection for machine learning Prior experience in emerging markets or with distributed workforces Fluency in Arabic Experience managing physical-world operations (events, field crews, hardware logistics) in addition to digital platforms

Eatx is a Dubai-grown hospitality group founded by Australian chef Tom Arnel, built around food, people, and sustainability. With a portfolio of 12 brands, including The Guild, Common Grounds, Tom & Serg, Hawkerboi, and more, we create venues that people genuinely enjoy spending time in. Inspired by Australian food and coffee culture and global flavours, our spaces are relaxed, welcoming, and community-focused. At Eatx, our people are at the heart of everything we do. We are a fast-moving, hands-on team that values collaboration, growth, and ownership, and we’re always excited to meet passionate hospitality professionals who enjoy working as part of a team.<br>Job Summary As a Data & Systems Analyst, you will play a key role in supporting the technology behind our venues. From business applications and reporting to dashboards and automation, you will help turn operational data into meaningful insights while ensuring the systems our teams rely on run smoothly across the Eatx portfolio.<br>Main Duties & Responsibilities Provide day-to-day support for core business applications, including Microsoft Dynamics 365, Supy, Linga r OS POS, Seven Rooms, and Ser Vme Develop and maintain Power BI dashboards, reports, and KPIs for business stakeholders Build automated reporting solutions and improve existing reporting processes Manage user access, system configuration, and master data across business applications Troubleshoot system issues and coordinate with external vendors to ensure timely resolution Support system integrations, upgrades, testing, and new feature deployments Ensure data accuracy, consistency, and reporting standards across multiple platforms Partner with Operations, Finance, Procurement, and leadership teams to deliver business insights<br>What We Are Looking For Minimum 5 years of experience in a Data & Systems Analyst or similar role Bachelor's degree in Information Technology, Computer Science, Business Information Systems, or a related field Strong hands-on experience with Microsoft Power BI, including dashboard development from the ground up Solid SQL skills and experience working with relational databases Experience supporting ERP, POS, CRM, or procurement systems Hospitality, retail, or F&B experience is highly desirable<br>If this feels like a fit, we would love to hear from you!

Eatx is a Dubai-grown hospitality group founded by Australian chef Tom Arnel, built around food, people, and sustainability. With a portfolio of 12 brands, including The Guild, Common Grounds, Tom & Serg, Hawkerboi, and more, we create venues that people genuinely enjoy spending time in. Inspired by Australian food and coffee culture and global flavours, our spaces are relaxed, welcoming, and community-focused. At Eatx, our people are at the heart of everything we do. We are a fast-moving, hands-on team that values collaboration, growth, and ownership, and we’re always excited to meet passionate hospitality professionals who enjoy working as part of a team.<br>Job Summary As a Data & Systems Analyst, you will play a key role in supporting the technology behind our venues. From business applications and reporting to dashboards and automation, you will help turn operational data into meaningful insights while ensuring the systems our teams rely on run smoothly across the Eatx portfolio.<br>Main Duties & Responsibilities Provide day-to-day support for core business applications, including Microsoft Dynamics 365, Supy, Linga r OS POS, Seven Rooms, and Ser Vme Develop and maintain Power BI dashboards, reports, and KPIs for business stakeholders Build automated reporting solutions and improve existing reporting processes Manage user access, system configuration, and master data across business applications Troubleshoot system issues and coordinate with external vendors to ensure timely resolution Support system integrations, upgrades, testing, and new feature deployments Ensure data accuracy, consistency, and reporting standards across multiple platforms Partner with Operations, Finance, Procurement, and leadership teams to deliver business insights<br>What We Are Looking For Minimum 5 years of experience in a Data & Systems Analyst or similar role Bachelor's degree in Information Technology, Computer Science, Business Information Systems, or a related field Strong hands-on experience with Microsoft Power BI, including dashboard development from the ground up Solid SQL skills and experience working with relational databases Experience supporting ERP, POS, CRM, or procurement systems Hospitality, retail, or F&B experience is highly desirable<br>If this feels like a fit, we would love to hear from you!

Finance Data Analytics & Automation Consultant<br><br>Assignment type: Six-month, full-time project assignment<br><br>Role Overview<br><br>Our client is seeking a hands-on Finance Data Analytics & Automation Consultant for a six-month, full-time Finance transformation assignment.<br><br>The consultant will partner with the Group Finance Director and Finance team to build a more automated, data-led, AI-enabled reporting environment.<br><br>The role requires Finance reporting expertise, advanced Excel, Power BI, workflow automation, and practical AI-enabled reporting skills.<br><br>The aim is to enhance current reporting and establish a scalable, intelligent Finance operating model.<br><br>This is not an IT-only, dashboard-only, or advisory-only role; the consultant must convert Finance logic into practical automated outputs.<br><br>Assignment Duration and Work Arrangement<br><br>Duration: Initial six-month assignment Capacity: Full-time, five days per week Location: Onsite with the Finance team in Dubai - UAE Reporting line: Group Finance Director <br><br>Any extension will depend on project needs and performance.<br><br>Project Context<br><br>Finance is shifting toward automated, AI-enabled reporting and decision support to reduce manual effort and produce structured outputs, including:<br><br>Post-close reporting and MIS analysis Structured financial and operational data Power BI dashboards with drill-downs Automated variance, trend analysis, and AI-assisted summaries Faster, more consistent Finance outputs <br><br>The immediate focus is to improve existing models and reporting while developing an automated reporting platform.<br><br>Key Responsibilities<br><br>Finance Process and Model Review<br><br>Review Finance reporting processes, management packs, and models. Assess trial balance, GL, entity, cost-centre, budget, and reporting outputs. Find opportunities to simplify and automate reporting. Optimize Excel-based Finance models as needed. <br><br>Excel Modelling and Data Extraction<br><br>Work with complex Excel financial models and reporting files. Improve model structure, formulas, links, and efficiency. Convert model outputs into clean datasets for automation, dashboards, and analysis. Support model simplification and documentation. <br><br>Finance Data Automation<br><br>Build structured Finance datasets from trial balance, budget, entity, GL, cost-centre, and other inputs. Use Power Query to automate data cleansing, transformation, refresh, and validation. Build reconciliation checks and move reporting from manual Excel files to automated workflows. <br><br>Power BI and Reporting Development<br><br>Develop Power BI data models and Finance dashboards. Build automated MIS, P&L, Balance Sheet, entity, facility, and consolidated reporting views. Enable drill-downs and create variance, trend, KPI, and executive dashboard views. <br><br>Workflow Automation and AI-Enabled Reporting<br><br>Use Power Automate and related tools for reporting refresh, review, and distribution. Support AI-enabled Finance reporting, commentary, summaries, and exception analysis. Use approved AI tools where relevant, ensuring outputs are reviewable and Finance-approved. <br><br>Documentation and Handover<br><br>Document data flows, model logic, assumptions, and refresh processes. Prepare handover notes, user guidance, training materials, and knowledge transfer. Ensure Finance can maintain the solutions after the assignment. <br><br>Required Skills And Experience<br><br>The consultant should have hands-on experience in:<br><br>Finance modelling: Advanced Excel, model optimization, P&L, Balance Sheet, budget versus actuals, variance, trend, trial balance, and GL mapping. Analytics and automation: Power Query, Power BI, DAX, Power Automate, dashboards, reporting automation, reconciliation, and validation. AI workflows: AI-assisted reporting or business analysis using Claude, Copilot, Chat GPT, or similar tools. <br><br>Ideal Profile<br><br>Preferred experience: 6–10 years in Finance analytics, FP&A automation, business modelling, Power BI, Finance transformation, or reporting automation.<br><br>Relevant backgrounds may include:<br><br>Big 4, consulting, business modelling, or Finance transformation Finance analytics, FP&A automation, or Power BI Finance reporting Excel modelling, BI automation, or corporate FP&A reporting analysis <br><br>The ideal candidate combines Finance knowledge with practical technical delivery.<br><br>Finance Knowledge Required<br><br>The consultant should understand:<br><br>Trial balance, chart of accounts, GL mapping, and cost-centre reporting Entity, facility, P&L, Balance Sheet, budgeting, and forecasting structures Management packs, variance analysis, consolidation, and financial model structures <br><br>A pure IT developer, AI engineer, or dashboard designer without Finance knowledge would not be suitable.<br><br>Preferred Additional Exposure<br><br>Additional useful exposure includes:<br><br>Oracle/ERP reporting, SQL, database fundamentals, or Python automation Multi-entity, financial statement, audit-support, healthcare, services, or multi-site reporting Senior Finance or CFO-level reporting requirements <br><br>Candidate Attributes<br><br>The consultant should be:<br><br>Hands-on, practical, structured, and solution-oriented Strong in Finance logic, automation, Excel models, and reporting packs Comfortable working with senior Finance stakeholders under tight timelines Able to translate business requirements into automated outputs Disciplined in confidentiality, documentation, handover, and knowledge transfer <br><br>Finance Data Analytics & Automation Consultant in Dubai, United Arab Emirates

Finance Data Analytics & Automation Consultant<br><br>Assignment type: Six-month, full-time project assignment<br><br>Role Overview<br><br>Our client is seeking a hands-on Finance Data Analytics & Automation Consultant for a six-month, full-time Finance transformation assignment.<br><br>The consultant will partner with the Group Finance Director and Finance team to build a more automated, data-led, AI-enabled reporting environment.<br><br>The role requires Finance reporting expertise, advanced Excel, Power BI, workflow automation, and practical AI-enabled reporting skills.<br><br>The aim is to enhance current reporting and establish a scalable, intelligent Finance operating model.<br><br>This is not an IT-only, dashboard-only, or advisory-only role; the consultant must convert Finance logic into practical automated outputs.<br><br>Assignment Duration and Work Arrangement<br><br>Duration: Initial six-month assignment Capacity: Full-time, five days per week Location: Onsite with the Finance team in Dubai - UAE Reporting line: Group Finance Director <br><br>Any extension will depend on project needs and performance.<br><br>Project Context<br><br>Finance is shifting toward automated, AI-enabled reporting and decision support to reduce manual effort and produce structured outputs, including:<br><br>Post-close reporting and MIS analysis Structured financial and operational data Power BI dashboards with drill-downs Automated variance, trend analysis, and AI-assisted summaries Faster, more consistent Finance outputs <br><br>The immediate focus is to improve existing models and reporting while developing an automated reporting platform.<br><br>Key Responsibilities<br><br>Finance Process and Model Review<br><br>Review Finance reporting processes, management packs, and models. Assess trial balance, GL, entity, cost-centre, budget, and reporting outputs. Find opportunities to simplify and automate reporting. Optimize Excel-based Finance models as needed. <br><br>Excel Modelling and Data Extraction<br><br>Work with complex Excel financial models and reporting files. Improve model structure, formulas, links, and efficiency. Convert model outputs into clean datasets for automation, dashboards, and analysis. Support model simplification and documentation. <br><br>Finance Data Automation<br><br>Build structured Finance datasets from trial balance, budget, entity, GL, cost-centre, and other inputs. Use Power Query to automate data cleansing, transformation, refresh, and validation. Build reconciliation checks and move reporting from manual Excel files to automated workflows. <br><br>Power BI and Reporting Development<br><br>Develop Power BI data models and Finance dashboards. Build automated MIS, P&L, Balance Sheet, entity, facility, and consolidated reporting views. Enable drill-downs and create variance, trend, KPI, and executive dashboard views. <br><br>Workflow Automation and AI-Enabled Reporting<br><br>Use Power Automate and related tools for reporting refresh, review, and distribution. Support AI-enabled Finance reporting, commentary, summaries, and exception analysis. Use approved AI tools where relevant, ensuring outputs are reviewable and Finance-approved. <br><br>Documentation and Handover<br><br>Document data flows, model logic, assumptions, and refresh processes. Prepare handover notes, user guidance, training materials, and knowledge transfer. Ensure Finance can maintain the solutions after the assignment. <br><br>Required Skills And Experience<br><br>The consultant should have hands-on experience in:<br><br>Finance modelling: Advanced Excel, model optimization, P&L, Balance Sheet, budget versus actuals, variance, trend, trial balance, and GL mapping. Analytics and automation: Power Query, Power BI, DAX, Power Automate, dashboards, reporting automation, reconciliation, and validation. AI workflows: AI-assisted reporting or business analysis using Claude, Copilot, Chat GPT, or similar tools. <br><br>Ideal Profile<br><br>Preferred experience: 6–10 years in Finance analytics, FP&A automation, business modelling, Power BI, Finance transformation, or reporting automation.<br><br>Relevant backgrounds may include:<br><br>Big 4, consulting, business modelling, or Finance transformation Finance analytics, FP&A automation, or Power BI Finance reporting Excel modelling, BI automation, or corporate FP&A reporting analysis <br><br>The ideal candidate combines Finance knowledge with practical technical delivery.<br><br>Finance Knowledge Required<br><br>The consultant should understand:<br><br>Trial balance, chart of accounts, GL mapping, and cost-centre reporting Entity, facility, P&L, Balance Sheet, budgeting, and forecasting structures Management packs, variance analysis, consolidation, and financial model structures <br><br>A pure IT developer, AI engineer, or dashboard designer without Finance knowledge would not be suitable.<br><br>Preferred Additional Exposure<br><br>Additional useful exposure includes:<br><br>Oracle/ERP reporting, SQL, database fundamentals, or Python automation Multi-entity, financial statement, audit-support, healthcare, services, or multi-site reporting Senior Finance or CFO-level reporting requirements <br><br>Candidate Attributes<br><br>The consultant should be:<br><br>Hands-on, practical, structured, and solution-oriented Strong in Finance logic, automation, Excel models, and reporting packs Comfortable working with senior Finance stakeholders under tight timelines Able to translate business requirements into automated outputs Disciplined in confidentiality, documentation, handover, and knowledge transfer <br><br>Finance Data Analytics & Automation Consultant in Dubai, United Arab Emirates

Finance Data Analytics & Automation Consultant Assignment type: Six-month, full-time project assignment<br>Role Overview Our client is seeking a hands-on Finance Data Analytics & Automation Consultant for a six-month, full-time Finance transformation assignment. The consultant will partner with the Group Finance Director and Finance team to build a more automated, data-led, AI-enabled reporting environment. The role requires Finance reporting expertise, advanced Excel, Power BI, workflow automation, and practical AI-enabled reporting skills. The aim is to enhance current reporting and establish a scalable, intelligent Finance operating model. This is not an IT-only, dashboard-only, or advisory-only role; the consultant must convert Finance logic into practical automated outputs.<br>Assignment Duration and Work Arrangement Duration: Initial six-month assignment Capacity: Full-time, five days per week Location: Onsite with the Finance team in Dubai - UAEReporting line: Group Finance Director Any extension will depend on project needs and performance.<br>Project Context Finance is shifting toward automated, AI-enabled reporting and decision support to reduce manual effort and produce structured outputs, including:Post-close reporting and MIS analysis Structured financial and operational data Power BI dashboards with drill-downs Automated variance, trend analysis, and AI-assisted summaries Faster, more consistent Finance outputs The immediate focus is to improve existing models and reporting while developing an automated reporting platform.<br>Key Responsibilities Finance Process and Model Review Review Finance reporting processes, management packs, and models. Assess trial balance, GL, entity, cost-centre, budget, and reporting outputs. Find opportunities to simplify and automate reporting. Optimize Excel-based Finance models as needed. Excel Modelling and Data Extraction Work with complex Excel financial models and reporting files. Improve model structure, formulas, links, and efficiency. Convert model outputs into clean datasets for automation, dashboards, and analysis. Support model simplification and documentation. Finance Data Automation Build structured Finance datasets from trial balance, budget, entity, GL, cost-centre, and other inputs. Use Power Query to automate data cleansing, transformation, refresh, and validation. Build reconciliation checks and move reporting from manual Excel files to automated workflows. Power BI and Reporting Development Develop Power BI data models and Finance dashboards. Build automated MIS, P&L, Balance Sheet, entity, facility, and consolidated reporting views. Enable drill-downs and create variance, trend, KPI, and executive dashboard views. Workflow Automation and AI-Enabled Reporting Use Power Automate and related tools for reporting refresh, review, and distribution. Support AI-enabled Finance reporting, commentary, summaries, and exception analysis. Use approved AI tools where relevant, ensuring outputs are reviewable and Finance-approved. Documentation and Handover Document data flows, model logic, assumptions, and refresh processes. Prepare handover notes, user guidance, training materials, and knowledge transfer. Ensure Finance can maintain the solutions after the assignment. Required Skills And Experience The consultant should have hands-on experience in:Finance modelling: Advanced Excel, model optimization, P&L, Balance Sheet, budget versus actuals, variance, trend, trial balance, and GL mapping. Analytics and automation: Power Query, Power BI, DAX, Power Automate, dashboards, reporting automation, reconciliation, and validation. AI workflows: AI-assisted reporting or business analysis using Claude, Copilot, Chat GPT, or similar tools.<br>Ideal Profile Preferred experience: 6–10 years in Finance analytics, FP&A automation, business modelling, Power BI, Finance transformation, or reporting automation. Relevant backgrounds may include:Big 4, consulting, business modelling, or Finance transformation Finance analytics, FP&A automation, or Power BI Finance reporting Excel modelling, BI automation, or corporate FP&A reporting analysis The ideal candidate combines Finance knowledge with practical technical delivery. Finance Knowledge Required The consultant should understand:Trial balance, chart of accounts, GL mapping, and cost-centre reporting Entity, facility, P&L, Balance Sheet, budgeting, and forecasting structures Management packs, variance analysis, consolidation, and financial model structures A pure IT developer, AI engineer, or dashboard designer without Finance knowledge would not be suitable. Preferred Additional Exposure Additional useful exposure includes:Oracle/ERP reporting, SQL, database fundamentals, or Python automation Multi-entity, financial statement, audit-support, healthcare, services, or multi-site reporting Senior Finance or CFO-level reporting requirements Candidate Attributes The consultant should be:Hands-on, practical, structured, and solution-oriented Strong in Finance logic, automation, Excel models, and reporting packs Comfortable working with senior Finance stakeholders under tight timelines Able to translate business requirements into automated outputs Disciplined in confidentiality, documentation, handover, and knowledge transfer Finance Data Analytics & Automation Consultant in Dubai, United Arab Emirates

Finance Data Analytics & Automation Consultant Assignment type: Six-month, full-time project assignment<br>Role Overview Our client is seeking a hands-on Finance Data Analytics & Automation Consultant for a six-month, full-time Finance transformation assignment. The consultant will partner with the Group Finance Director and Finance team to build a more automated, data-led, AI-enabled reporting environment. The role requires Finance reporting expertise, advanced Excel, Power BI, workflow automation, and practical AI-enabled reporting skills. The aim is to enhance current reporting and establish a scalable, intelligent Finance operating model. This is not an IT-only, dashboard-only, or advisory-only role; the consultant must convert Finance logic into practical automated outputs.<br>Assignment Duration and Work Arrangement Duration: Initial six-month assignment Capacity: Full-time, five days per week Location: Onsite with the Finance team in Dubai - UAEReporting line: Group Finance Director Any extension will depend on project needs and performance.<br>Project Context Finance is shifting toward automated, AI-enabled reporting and decision support to reduce manual effort and produce structured outputs, including:Post-close reporting and MIS analysis Structured financial and operational data Power BI dashboards with drill-downs Automated variance, trend analysis, and AI-assisted summaries Faster, more consistent Finance outputs The immediate focus is to improve existing models and reporting while developing an automated reporting platform.<br>Key Responsibilities Finance Process and Model Review Review Finance reporting processes, management packs, and models. Assess trial balance, GL, entity, cost-centre, budget, and reporting outputs. Find opportunities to simplify and automate reporting. Optimize Excel-based Finance models as needed. Excel Modelling and Data Extraction Work with complex Excel financial models and reporting files. Improve model structure, formulas, links, and efficiency. Convert model outputs into clean datasets for automation, dashboards, and analysis. Support model simplification and documentation. Finance Data Automation Build structured Finance datasets from trial balance, budget, entity, GL, cost-centre, and other inputs. Use Power Query to automate data cleansing, transformation, refresh, and validation. Build reconciliation checks and move reporting from manual Excel files to automated workflows. Power BI and Reporting Development Develop Power BI data models and Finance dashboards. Build automated MIS, P&L, Balance Sheet, entity, facility, and consolidated reporting views. Enable drill-downs and create variance, trend, KPI, and executive dashboard views. Workflow Automation and AI-Enabled Reporting Use Power Automate and related tools for reporting refresh, review, and distribution. Support AI-enabled Finance reporting, commentary, summaries, and exception analysis. Use approved AI tools where relevant, ensuring outputs are reviewable and Finance-approved. Documentation and Handover Document data flows, model logic, assumptions, and refresh processes. Prepare handover notes, user guidance, training materials, and knowledge transfer. Ensure Finance can maintain the solutions after the assignment. Required Skills And Experience The consultant should have hands-on experience in:Finance modelling: Advanced Excel, model optimization, P&L, Balance Sheet, budget versus actuals, variance, trend, trial balance, and GL mapping. Analytics and automation: Power Query, Power BI, DAX, Power Automate, dashboards, reporting automation, reconciliation, and validation. AI workflows: AI-assisted reporting or business analysis using Claude, Copilot, Chat GPT, or similar tools.<br>Ideal Profile Preferred experience: 6–10 years in Finance analytics, FP&A automation, business modelling, Power BI, Finance transformation, or reporting automation. Relevant backgrounds may include:Big 4, consulting, business modelling, or Finance transformation Finance analytics, FP&A automation, or Power BI Finance reporting Excel modelling, BI automation, or corporate FP&A reporting analysis The ideal candidate combines Finance knowledge with practical technical delivery. Finance Knowledge Required The consultant should understand:Trial balance, chart of accounts, GL mapping, and cost-centre reporting Entity, facility, P&L, Balance Sheet, budgeting, and forecasting structures Management packs, variance analysis, consolidation, and financial model structures A pure IT developer, AI engineer, or dashboard designer without Finance knowledge would not be suitable. Preferred Additional Exposure Additional useful exposure includes:Oracle/ERP reporting, SQL, database fundamentals, or Python automation Multi-entity, financial statement, audit-support, healthcare, services, or multi-site reporting Senior Finance or CFO-level reporting requirements Candidate Attributes The consultant should be:Hands-on, practical, structured, and solution-oriented Strong in Finance logic, automation, Excel models, and reporting packs Comfortable working with senior Finance stakeholders under tight timelines Able to translate business requirements into automated outputs Disciplined in confidentiality, documentation, handover, and knowledge transfer Finance Data Analytics & Automation Consultant in Dubai, United Arab Emirates

Finance Data Analytics & Automation Consultant<br><br>Assignment type: Six-month, full-time project assignment<br><br>Role Overview<br><br>Our client is seeking a hands-on Finance Data Analytics & Automation Consultant for a six-month, full-time Finance transformation assignment.<br><br>The consultant will partner with the Group Finance Director and Finance team to build a more automated, data-led, AI-enabled reporting environment.<br><br>The role requires Finance reporting expertise, advanced Excel, Power BI, workflow automation, and practical AI-enabled reporting skills.<br><br>The aim is to enhance current reporting and establish a scalable, intelligent Finance operating model.<br><br>This is not an IT-only, dashboard-only, or advisory-only role; the consultant must convert Finance logic into practical automated outputs.<br><br>Assignment Duration and Work Arrangement<br><br>Duration: Initial six-month assignment Capacity: Full-time, five days per week Location: Onsite with the Finance team in Dubai - UAE Reporting line: Group Finance Director <br><br>Any extension will depend on project needs and performance.<br><br>Project Context<br><br>Finance is shifting toward automated, AI-enabled reporting and decision support to reduce manual effort and produce structured outputs, including:<br><br>Post-close reporting and MIS analysis Structured financial and operational data Power BI dashboards with drill-downs Automated variance, trend analysis, and AI-assisted summaries Faster, more consistent Finance outputs <br><br>The immediate focus is to improve existing models and reporting while developing an automated reporting platform.<br><br>Key Responsibilities<br><br>Finance Process and Model Review<br><br>Review Finance reporting processes, management packs, and models. Assess trial balance, GL, entity, cost-centre, budget, and reporting outputs. Find opportunities to simplify and automate reporting. Optimize Excel-based Finance models as needed. <br><br>Excel Modelling and Data Extraction<br><br>Work with complex Excel financial models and reporting files. Improve model structure, formulas, links, and efficiency. Convert model outputs into clean datasets for automation, dashboards, and analysis. Support model simplification and documentation. <br><br>Finance Data Automation<br><br>Build structured Finance datasets from trial balance, budget, entity, GL, cost-centre, and other inputs. Use Power Query to automate data cleansing, transformation, refresh, and validation. Build reconciliation checks and move reporting from manual Excel files to automated workflows. <br><br>Power BI and Reporting Development<br><br>Develop Power BI data models and Finance dashboards. Build automated MIS, P&L, Balance Sheet, entity, facility, and consolidated reporting views. Enable drill-downs and create variance, trend, KPI, and executive dashboard views. <br><br>Workflow Automation and AI-Enabled Reporting<br><br>Use Power Automate and related tools for reporting refresh, review, and distribution. Support AI-enabled Finance reporting, commentary, summaries, and exception analysis. Use approved AI tools where relevant, ensuring outputs are reviewable and Finance-approved. <br><br>Documentation and Handover<br><br>Document data flows, model logic, assumptions, and refresh processes. Prepare handover notes, user guidance, training materials, and knowledge transfer. Ensure Finance can maintain the solutions after the assignment. <br><br>Required Skills And Experience<br><br>The consultant should have hands-on experience in:<br><br>Finance modelling: Advanced Excel, model optimization, P&L, Balance Sheet, budget versus actuals, variance, trend, trial balance, and GL mapping. Analytics and automation: Power Query, Power BI, DAX, Power Automate, dashboards, reporting automation, reconciliation, and validation. AI workflows: AI-assisted reporting or business analysis using Claude, Copilot, Chat GPT, or similar tools. <br><br>Ideal Profile<br><br>Preferred experience: 6–10 years in Finance analytics, FP&A automation, business modelling, Power BI, Finance transformation, or reporting automation.<br><br>Relevant backgrounds may include:<br><br>Big 4, consulting, business modelling, or Finance transformation Finance analytics, FP&A automation, or Power BI Finance reporting Excel modelling, BI automation, or corporate FP&A reporting analysis <br><br>The ideal candidate combines Finance knowledge with practical technical delivery.<br><br>Finance Knowledge Required<br><br>The consultant should understand:<br><br>Trial balance, chart of accounts, GL mapping, and cost-centre reporting Entity, facility, P&L, Balance Sheet, budgeting, and forecasting structures Management packs, variance analysis, consolidation, and financial model structures <br><br>A pure IT developer, AI engineer, or dashboard designer without Finance knowledge would not be suitable.<br><br>Preferred Additional Exposure<br><br>Additional useful exposure includes:<br><br>Oracle/ERP reporting, SQL, database fundamentals, or Python automation Multi-entity, financial statement, audit-support, healthcare, services, or multi-site reporting Senior Finance or CFO-level reporting requirements <br><br>Candidate Attributes<br><br>The consultant should be:<br><br>Hands-on, practical, structured, and solution-oriented Strong in Finance logic, automation, Excel models, and reporting packs Comfortable working with senior Finance stakeholders under tight timelines Able to translate business requirements into automated outputs Disciplined in confidentiality, documentation, handover, and knowledge transfer <br><br>Finance Data Analytics & Automation Consultant in Dubai, United Arab Emirates

The Story So Far: We’re Building a Global Brand in Real Estate<br><br>Huspy is one of the leading property technology companies in EMEA. Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026.<br><br>Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we’ve entered. We’ve raised over $140 million (Series A and Series B) from the world’s top investors, including Sequoia Capital, Founders Fund and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.<br><br>We’ve built a Super App that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world’s most traditional industries. We’re transforming how property transactions happen — faster, smarter, and better for everyone. We’re not slowing down.<br><br>The question is: will you be part of what’s next?<br><br>The Main Event: What You’ll Drive, Build, and Own<br><br>Real Estate Market Modeling: Build models applied to challenges such as valuation/pricing leveraging techniques from classic supervised ML to more advanced approaches. Multimodal Embeddings: Create vector representations of Real Estate entities, such as listings, combining images, text, and structured attributes to power search, matching, deduping, or recommendations. Data Analysis & Experimentation: Use SQL/Python to extract, clean, and analyze data; design experiments and evaluate model-product impact with robust metrics. Model Operationalization: Ship models to production with capabilities such as monitoring, automated rollout, or CI/CD (in partnership with engineering). Cross-functional Delivery: Partner with product, engineering, and operations teams to translate business problems into scalable ML solutions.<br><br>The Perfect Match: What It Takes to Succeed at Huspy<br><br>Proven Experience: 4–8 years in applied data science/ML, delivering models that move real-world KPIs. SQL & Python Mastery: Strong in frameworks such as Pandas/Num Py/Scikit-learn...building reliable data pipelines, model training and evaluation. MLOps Fundamentals: Experience deploying/maintaining models (batch or real-time), versioning, CI/CD basics, observability, and reproducible training. Communication & Ownership: Clear with technical/non-technical stakeholders; can scope, prioritize, and explain tradeoffs. Comfortable with uncertainty, data quality issues, leakage risks, and market dynamics (location, seasonality, inventory shifts). Nice to Have: Software engineering experience; multimodal/vision experience; voice AI (ASR/NLU) exposure. Academic Background: Bachelor’s in STEM (Master’s a plus).<br><br>By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.