Data Entry Jobs in UAE
8232 Jobs Found
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<span>Welcome to PXGEO PXGEO is an innovative marine geophysical service provider combining the strengths of ocean bottom and towed streamer seismic data acquisition techniques to deliver seamless subsurface imaging for a sustainable future.<br> What's the role?<br> As a Data Analyst at PXGEO, you are responsible for supporting the development, design, integration, and deployment of business intelligence solutions, including data lakes, data warehouses, and analytics tools.<br> The role provides data management and analysis capabilities for current solutions, evaluates and implements new technologies to meet changing business needs in cost-effective ways, and ensures data accuracy and accessibility for decision-making purposes.<br> Key responsibilities include: Power BI Dashboard Development Design, build, and update interactive Power BI dashboards with a strong focus on clarity and user experience.<br> Create and optimize DAX measures, calculated columns, KPIs, and time‑intelligence metrics.<br> Build efficient data models (relationships, hierarchies, star schema basics).<br> Ensure dashboards are accurate, well‑documented, and delivered on time.<br> Business Intelligence and Analytics Assisting in the development and implementation of predictive and prescriptive analytics models to support business goals and objectives.<br> Performing and supporting data analysis, data mining, and data modeling activities to support business decision-making and identify trends, patterns and anomalies in business data.<br> Developing and maintaining reports, dashboards, and visualizations using BI tools, ensuring data accuracy and timely delivery to stakeholders.<br> Collaborating with business stakeholders to gather requirements, define KPIs, and create analytics solutions that address their needs.<br> Data Governance & Complianc e Ensuring compliance with data privacy and security regulations and guidelines.<br> Collaborating with the IT team to implement and maintain data access controls and security measures.<br> Who are we looking for?<br> Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, or a related field, At least 2 years of experience in data analytics and BI roles.<br> Technical knowledge of data analytics tools and technologies, such as SQL, Power BI Basic knowledge of data lakes and data warehouses.<br> Basic knowledge of Python.<br> Proficiency in Power BI design and visualization.<br> Working knowledge of finance.<br> Solid understanding of data modeling.<br> Certification in a relevant data analytics or BI framework is a plus.<br> Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.<br> Excellent team player with strong collaboration skills to engage with both IT and business staff.<br> Strong English verbal and written communication skills.<br> Excellent problem investigation and solving abilities.<br> Ability to manage time and prioritize workload under pressure.<br> Highly disciplined and adept at producing and maintaining documentation.<br> Ability to work outside of normal office hours, when required by the business.<br></span> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><ul><li><p>Design and develop conceptual, logical, and physical data models</p></li><li><p>Collaborate with cross-functional teams to gather and understand data requirements</p></li><li><p>Optimize data models for performance and scalability</p></li><li><p>Ensure data integrity and quality throughout the data modelling process</p></li><li><p>Provide guidance and support on data modelling best practices</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Proven experience working with data modelling tools such as Erwin, ER Studio, or equivalent</p></li><li><p>Strong understanding of data modelling concepts and methodologies</p></li><li><p>Excellent problem-solving and analytical skills</p></li><li><p>Ability to work effectively in a fast-paced environment</p></li><li><p>Good communication and interpersonal skills</p></li></ul><p></p></section>
About the Company:Our client is a prominent Government of Dubai entity responsible for developing strategic initiatives that enhance community engagement, institutional excellence, and sustainable development. The organization plays a vital role in supporting Dubai's long-term vision through innovation, governance, and impactful public sector programs.<br>Location: Dubai, UAE<br>Job Summary:To collect and analyze institutional and sectoral data, develop frameworks, methodologies, and guidelines for data analysis and management, and provide consultation and guidance on data management matters.<br>Responsibilities:Prepare and implement the annual operational plan, including targets, KPIs, and budget requirements. Design and develop data architecture to improve analysis and reporting efficiency. Establish frameworks and methodologies for institutional data management. Oversee development of data operation and archiving standards aligned with government policies. Integrate emerging technologies into data management processes. Evaluate database changes and ensure alignment with business requirements. Oversee data security in coordination with relevant entities. Conduct periodic data maturity assessments and improvement plans. Develop centralized databases for strategic and sectoral data. Perform other assigned duties.<br>Requirements:Minimum 7 years of relevant professional experience, preferably within government or semi-government organizations Bachelor’s degree in Data Science, Statistics, Management Information Systems, Computer Engineering, Data Analytics, or a related field Must have Strategic Planning and Performance Management skills Must have data collection and analysis skills Must have a family book
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>The Data & Insights Analyst will play a key role in transforming how our organization understands, uses, and communicates data, acting as a strategic bridge between our organizations’ creative, research, and operational sides - turning scattered information into meaningful narratives and evidence-backed insights.</p><p>This role will focus on identifying and consolidating data across our projects, research, and archives - developing dashboards, visualizations, and insights that bring clarity and narrative power to our work.</p><p>Over time, this role will also explore how AI tools can enhance efficiency, creativity, and impact - from data analysis and reporting to supporting our storytelling and conceptual projects.</p><p>This is an ideal role for someone who is analytical, creative, and curious - a thinker who sees patterns in information and can turn them into meaningful stories and insights.</p><br><p><strong>KEY RESPONSIBILITIES</strong></p><ul><li><p>Develop a comprehensive understanding of the organization’s data landscape and identify key data sources across departments.</p></li><li><p>Design and implement frameworks for data collection, governance, and analytics that align with organizational objectives.</p></li><li><p>Create and present visual data stories, dashboards, and insights to inform leadership decisions and highlight impact.</p></li><li><p>Partner with teams across projects, research, and communications to translate complex data into accessible narratives.</p></li><li><p>Collaborate with the Senior Manager, Technology, to explore and pilot AI tools that support productivity, analysis, and innovation.</p></li><li><p>Support strategic planning by providing evidence-based insights, reports, and recommendations.</p></li><li><p>Build organizational capability in data literacy through knowledge sharing and internal training sessions.</p></li></ul><p>Collect, clean, and organize data from multiple internal and external sources (project databases, archives, reports, media libraries, etc.).</p><ul><li><p>Maintain structured data repositories and ensure consistent data standards across teams</p></li></ul><p>Design and maintain dashboards and visual reports using tools such as Power BI, Tableau, or Google Data Studio.</p><ul><li><p>Track project metrics, performance indicators, and outputs to support monitoring and evaluation.</p></li><li><p>Support the preparation of periodic reports, infographics, and presentations for internal and external stakeholders.</p></li><li><p>Conduct routine data quality checks and troubleshoot discrepancies.</p></li><li><p>Assist with data-driven automation and process improvement initiatives.</p></li><li><p>Research emerging technologies and recommend relevant AI or analytical tools for adoption.</p></li><li><p>Ensure all data handling aligns with privacy, ethics, and organizational governance standards</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Bachelor’s degree in Data Science, Information Systems, Statistics, Computer Science, or a related field.</p></li><li><p>Strong analytical and problem-solving skills, with the ability to interpret and communicate complex information clearly.</p></li><li><p>Proficiency with data visualization and analytics tools (e.g., Power BI, Tableau, Excel, Google Data Studio).</p></li><li><p>Understanding of data management, reporting, and visualization best practices.</p></li><li><p>Excellent communication and presentation skills, with an eye for design and storytelling.</p></li></ul><p><strong>Minimum Experience</strong></p><ul><li><p>5+ years of experience in a data analysis, research analytics, or business intelligence role.</p></li><li><p>Experience consolidating and analyzing data from diverse sources.</p></li><li><p>Exposure to (or strong interest in) AI, machine learning, or automation tools is an advantage.</p></li><li><p>Experience working in a mission-driven, creative, or research-based environment preferred</p></li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>We're hiring an <strong>AI Data Ops Engineer</strong> for a leading Abu Dhabi-based holding group investing heavily in its data and AI capability. You'll engineer the pipelines that feed everyday AI assistants and enterprise AI products — and you'll be the technical authority reviewing and signing off vendor-delivered data architectures before they reach production. Reports to the AI Solutions Manager.</p><p><strong>What you'll own:</strong></p><ul><li><p>Engineer batch and stream pipelines using Fabric Data Pipelines / Azure Data Factory, Synapse, or Databricks.</p></li><li><p>Implement data quality rules, schema validation, de-duplication, SCD, and reconciliation checks.</p></li><li><p>Operationalize lineage, cataloging, and classifications with Microsoft Purview; enforce RBAC and access patterns.</p></li><li><p>Automate CI/CD via Azure DevOps or GitHub with environment promotion, infrastructure-as-code (Bicep/Terraform), and secrets management via Key Vault.</p></li><li><p>Build feature stores and model-serving data contracts in partnership with MLOps and AI engineering teams.</p></li><li><p>Own reliability: alerts, runbooks, on-call rotation, and cost and performance optimization.</p></li><li><p>Review and finalize vendor-delivered data pipelines and data architecture for AI projects; ensure compliance with client standards for security, performance, and reliability; approve production readiness.</p></li><li><p>Collaborate with delivery partner squads on interface specifications, test data, and delivery checkpoints; support SIT/UAT and production cutover.</p></li><li><p>Define and enforce Data Contracts and SLAs per priority dataset (schema, refresh frequency, quality thresholds, reconciliation checks, and consumer expectations).</p></li><li><p>Own data incident management: classification, RCA, corrective actions, and prevention of recurring nonconformities.</p></li><li><p>Formalize the handshake with AI/ML/DevOps engineers on feature and embedding pipelines, monitoring hooks, and release gates for data-dependent AI deployments.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>6–8 years in data engineering with strong SQL and PySpark and cloud-native data services.</p></li><li><p>Hands-on experience across the Azure data stack: Fabric/Synapse, Data Factory, ADLS Gen2, Delta Lake/Parquet.</p></li><li><p>Bachelor's in Computer Science, Engineering, or equivalent.</p></li></ul><p><strong>Core skills and tools required:</strong></p><ul><li><p>Python and PySpark, SQL, Lakehouse patterns, medallion architecture.</p></li><li><p>Microsoft Purview: catalog, lineage, classifications; data privacy controls and masking.</p></li><li><p>CI/CD with Azure DevOps or GitHub; IaC with Bicep or Terraform; Docker basics.</p></li><li><p>Observability: Kusto/KQL, Azure Monitor, Log Analytics; performance tuning and FinOps.</p></li><li><p>Production incident response and RCA discipline.</p></li></ul><p><strong>Required certifications:</strong></p><ul><li><p>Microsoft Certified: Azure Data Engineer Associate (DP-203)</p></li></ul><p><strong>Preferred certifications:</strong></p><ul><li><p>Microsoft Certified: Azure Fundamentals (AZ-900)</p></li><li><p>Databricks Data Engineer Associate or Professional</p></li></ul><br><p><strong>Location: </strong>Abu Dhabi, UAE</p><p><strong>Employment Type: </strong>Permanent, Full-time</p><p><strong>Experience: </strong>6-8 years</p><p><strong>Salary Range: </strong>15,000 - 23,000 (AED per month)</p><p><strong>Work Location:</strong> In person</p><p><strong><u>Apply: via Faze 3 Consulting website (link on profile)</u></strong></p><p></p></section>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
About the job Senior Oracle PL/SQL &amp - Data Integration Engineer
<p><strong>KEY RESPONSIBILITIES</strong></p><br>
<p>1. Database & Report Solution Design</p><br>
<p>Design and build enterprise-grade database solutions that meet complex business and technical requirements.</p><br>
<p> Develop and maintain comprehensive reporting solutions, ensuring data accuracy, consistency, and timeliness.</p><br>
<p> Create and manage stored procedures, functions, triggers, and packages using Oracle PL/SQL to support business logic <span>and data processing needs.</span></p><br>
<p> Build and optimize data models and schema designs to support scalable and maintainable database architectures.</p><br>
<p>2. Data Integration & Warehouse Development</p><br>
<p> Design, develop, and maintain data integration and data warehouse solutions to consolidate data from complex and <span>disparate source systems.</span></p><br>
<p> Gather and analyze data integration requirements from business and technical stakeholders, translating them into <span>scalable and efficient technical solutions.</span></p><br>
<p> Perform data transformation, cleansing, and enrichment activities to ensure high-quality, reliable data pipelines.</p><br>
<p> Support the development and maintenance of ETL workflows and data flows across multiple platforms and <span>environments.</span></p><br>
<p>3. Performance Tuning & Query Optimization</p><br>
<p> Conduct performance tuning of SQL queries, stored procedures, and data flows to ensure optimal system <span>responsiveness and efficiency.</span></p><br>
<p> Apply advanced SQL and PL/SQL techniques for bulk data processing, minimizing resource consumption and maximizing <span>throughput.</span></p><br>
<p> Identify, diagnose, and resolve data-related issues, bottlenecks, and performance degradation in a timely and <span>systematic manner.</span></p><br>
<p> Monitor and proactively maintain the health and performance of database environments in production and non-<span>production settings.</span></p><br>
<p>4. Data Analysis & Insight Generation</p><br>
<p> Perform in-depth data analysis across large and complex datasets to surface meaningful business insights.</p><br>
<p> Build and deliver data reports and dashboards that support informed decision-making across business functions.</p><br>
<p> Validate data integrity and accuracy throughout the data lifecycle, from ingestion through to reporting outputs.</p><br>
<p> Interpret data patterns and trends to provide recommendations aligned with business objectives.</p><br>
<p>5. Collaboration & Stakeholder Engagement</p><br>
<p> Collaborate effectively with technology and business teams to understand project requirements and deliver against <span>shared goals.</span></p><br>
<p> Participate in technical discussions, solution reviews, and design sessions with cross-functional teams.</p><br>
<p> Communicate complex technical concepts clearly and concisely to both technical and non-technical stakeholders.</p><br>
<p> Contribute to documentation of technical designs, data dictionaries, and solution architectures to support knowledge <span>transfer and maintainability.</span></p><br>
<p><strong>QUALIFICATIONS & EXPERIENCE</strong></p><br>
<p>- Bachelor's degree in Computer Science, Information Technology, Engineering, or a closely related discipline.</p><br>
<p>- 5 to 7 years of hands-on professional experience in Oracle PL/SQL development and data integration engineering.</p><br>
<p>- Strong skills in writing, optimizing, and debugging complex SQL queries and stored procedures in production <span>environments.</span></p><br>
<p>- Demonstrated experience in bulk data processing using advanced SQL and PL/SQL techniques including BULK COLLECT, <span>FORALL, and exception handling.</span></p><br>
<p>- Proficiency in data modeling and schema design for both transactional and analytical database systems.</p><br>
<p>- Expertise in gathering and analyzing data integration requirements and translating them into scalable, maintainable <span>technical solutions.</span></p><br>
<p>- Ability to build and deliver reports and generate data-driven insights aligned to business requirements.</p><br>
<p>- Strong aptitude for identifying, troubleshooting, and resolving data-related issues efficiently and systematically.</p><br>
<p>- Proven experience in performance tuning of data flows, ETL processes, and complex SQL queries.</p><br>
<p>- Excellent communication and collaboration skills with demonstrated ability to work effectively within cross-functional <span>teams.</span></p><br>
<p>- Experience in the airlines or aviation domain is preferred.</p><br>
<p>- Hands-on experience with Amazon Redshift, Hadoop, Hive, Spark, and AWS cloud services is preferred.</p><br>
<p>- Proficiency in English; strong written and verbal communication skills required for a client-facing, on-site engagement.</p><br>
<p><strong>WHAT WE OFFER</strong></p><br>
<p> Salary: AED 10,000 – 13,000 per month (based on experience and skill fit)</p><br>
<p> Work Visa: UAE employment visa sponsored and processed by the company</p><br>
<p> Annual Air Tickets: Return air tickets provided as per UAE Labour Law entitlements</p><br>
<p> Medical Insurance: Comprehensive medical insurance coverage</p><br>
<p> Gratuity: End-of-service gratuity as per UAE Labour Law</p><br>
<p> Paid Time Off: Annual leave, sick leave, and public holidays as per UAE regulations</p><br>
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<br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><ul><li><p>Real-time security event ingestion pipelines from SIEM/SOAR platforms, threat intelligence correlation engines for SOC operations, data lake architecture for cyber forensics and audit trails.
Build real-time security event pipelines (integrating with SIEM/SOAR tools); develop threat intelligence correlation engines for SOC; design and maintain a cyber data lake architecture for forensics and audit trails, enabling advanced security analytics.
Designs and maintains data platforms that collect, process, and store large volumes of security and operational data in near real time.
The engineer builds reliable data pipelines, supports analytics and reporting needs for security teams, and ensures data is well-structured for investigations and audits.
Suitable candidates should have strong experience with cloud-based data platforms, data engineering, and working with high-volume, business critical data.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Microsoft Certified: Azure Data Engineer Associate, Databricks Certified Data Engineer Professional
Experience: 8-10 years</p></li></ul><p></p></section>
Hiring: Data Analyst (United Arab Emirates) We are currently seeking a detail-oriented and analytical Data Analyst to join our growing team in the United Arab Emirates. Position:Data Analyst Location:United Arab Emirates Job Type:Full-Time On-site / Hybrid Available Responsibilities:Collect, clean, and analyze data from multiple sources to support business decision-making Develop dashboards, reports, and visualizations to communicate key insights Monitor KPIs and identify trends, opportunities, and operational improvements Collaborate with stakeholders to understand reporting and analytics requirements Perform data validation and ensure data accuracy, consistency, and integrity Create actionable recommendations based on data analysis and business objectives Support forecasting, budgeting, and strategic planning initiatives Assist in building and maintaining data models and reporting systems Requirements:Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a related field Strong proficiency in SQL, Microsoft Excel, and data analysis techniques Experience with Power BI, Tableau, Looker, or other data visualization tools Familiarity with Python, R, or similar analytical programming languages is an advantage Understanding of databases, data warehousing, and reporting concepts Strong analytical thinking, problem-solving, and communication skills Ability to present complex data in a clear and meaningful way Benefits:Competitive salary package Performance-based bonuses Health and insurance benefits Professional development and certification support Exposure to regional and international analytics projects Career advancement opportunities Collaborative and data-driven work environment How to Apply:Please send your CV/Resume and a brief self-introduction to our recruitment team. Join us and help transform data into valuable insights that drive smarter decisions, operational excellence, and business growth!
Hiring: Data Analyst (United Arab Emirates) We are currently seeking a detail-oriented and analytical Data Analyst to join our growing team in the United Arab Emirates. Position:Data Analyst Location:United Arab Emirates Job Type:Full-Time On-site / Hybrid Available Responsibilities:Collect, clean, and analyze data from multiple sources to support business decision-making Develop dashboards, reports, and visualizations to communicate key insights Monitor KPIs and identify trends, opportunities, and operational improvements Collaborate with stakeholders to understand reporting and analytics requirements Perform data validation and ensure data accuracy, consistency, and integrity Create actionable recommendations based on data analysis and business objectives Support forecasting, budgeting, and strategic planning initiatives Assist in building and maintaining data models and reporting systems Requirements:Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a related field Strong proficiency in SQL, Microsoft Excel, and data analysis techniques Experience with Power BI, Tableau, Looker, or other data visualization tools Familiarity with Python, R, or similar analytical programming languages is an advantage Understanding of databases, data warehousing, and reporting concepts Strong analytical thinking, problem-solving, and communication skills Ability to present complex data in a clear and meaningful way Benefits:Competitive salary package Performance-based bonuses Health and insurance benefits Professional development and certification support Exposure to regional and international analytics projects Career advancement opportunities Collaborative and data-driven work environment How to Apply:Please send your CV/Resume and a brief self-introduction to our recruitment team. Join us and help transform data into valuable insights that drive smarter decisions, operational excellence, and business growth!
Hiring: Data Analyst (United Arab Emirates) We are currently seeking a detail-oriented and analytical Data Analyst to join our growing team in the United Arab Emirates. Position:Data Analyst Location:United Arab Emirates Job Type:Full-Time On-site / Hybrid Available Responsibilities:Collect, clean, and analyze data from multiple sources to support business decision-making Develop dashboards, reports, and visualizations to communicate key insights Monitor KPIs and identify trends, opportunities, and operational improvements Collaborate with stakeholders to understand reporting and analytics requirements Perform data validation and ensure data accuracy, consistency, and integrity Create actionable recommendations based on data analysis and business objectives Support forecasting, budgeting, and strategic planning initiatives Assist in building and maintaining data models and reporting systems Requirements:Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a related field Strong proficiency in SQL, Microsoft Excel, and data analysis techniques Experience with Power BI, Tableau, Looker, or other data visualization tools Familiarity with Python, R, or similar analytical programming languages is an advantage Understanding of databases, data warehousing, and reporting concepts Strong analytical thinking, problem-solving, and communication skills Ability to present complex data in a clear and meaningful way Benefits:Competitive salary package Performance-based bonuses Health and insurance benefits Professional development and certification support Exposure to regional and international analytics projects Career advancement opportunities Collaborative and data-driven work environment How to Apply:Please send your CV/Resume and a brief self-introduction to our recruitment team. Join us and help transform data into valuable insights that drive smarter decisions, operational excellence, and business growth!
Hiring: Data Analyst (United Arab Emirates) We are currently seeking a detail-oriented and analytical Data Analyst to join our growing team in the United Arab Emirates. Position:Data Analyst Location:United Arab Emirates Job Type:Full-Time On-site / Hybrid Available Responsibilities:Collect, clean, and analyze data from multiple sources to support business decision-making Develop dashboards, reports, and visualizations to communicate key insights Monitor KPIs and identify trends, opportunities, and operational improvements Collaborate with stakeholders to understand reporting and analytics requirements Perform data validation and ensure data accuracy, consistency, and integrity Create actionable recommendations based on data analysis and business objectives Support forecasting, budgeting, and strategic planning initiatives Assist in building and maintaining data models and reporting systems Requirements:Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a related field Strong proficiency in SQL, Microsoft Excel, and data analysis techniques Experience with Power BI, Tableau, Looker, or other data visualization tools Familiarity with Python, R, or similar analytical programming languages is an advantage Understanding of databases, data warehousing, and reporting concepts Strong analytical thinking, problem-solving, and communication skills Ability to present complex data in a clear and meaningful way Benefits:Competitive salary package Performance-based bonuses Health and insurance benefits Professional development and certification support Exposure to regional and international analytics projects Career advancement opportunities Collaborative and data-driven work environment How to Apply:Please send your CV/Resume and a brief self-introduction to our recruitment team. Join us and help transform data into valuable insights that drive smarter decisions, operational excellence, and business growth!
Hiring: Data Analyst (United Arab Emirates) We are currently seeking a detail-oriented and analytical Data Analyst to join our growing team in the United Arab Emirates. Position:Data Analyst Location:United Arab Emirates Job Type:Full-Time On-site / Hybrid Available Responsibilities:Collect, clean, and analyze data from multiple sources to support business decision-making Develop dashboards, reports, and visualizations to communicate key insights Monitor KPIs and identify trends, opportunities, and operational improvements Collaborate with stakeholders to understand reporting and analytics requirements Perform data validation and ensure data accuracy, consistency, and integrity Create actionable recommendations based on data analysis and business objectives Support forecasting, budgeting, and strategic planning initiatives Assist in building and maintaining data models and reporting systems Requirements:Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a related field Strong proficiency in SQL, Microsoft Excel, and data analysis techniques Experience with Power BI, Tableau, Looker, or other data visualization tools Familiarity with Python, R, or similar analytical programming languages is an advantage Understanding of databases, data warehousing, and reporting concepts Strong analytical thinking, problem-solving, and communication skills Ability to present complex data in a clear and meaningful way Benefits:Competitive salary package Performance-based bonuses Health and insurance benefits Professional development and certification support Exposure to regional and international analytics projects Career advancement opportunities Collaborative and data-driven work environment How to Apply:Please send your CV/Resume and a brief self-introduction to our recruitment team. Join us and help transform data into valuable insights that drive smarter decisions, operational excellence, and business growth!
Hiring: Data Analyst (United Arab Emirates) We are currently seeking a detail-oriented and analytical Data Analyst to join our growing team in the United Arab Emirates. Position:Data Analyst Location:United Arab Emirates Job Type:Full-Time On-site / Hybrid Available Responsibilities:Collect, clean, and analyze data from multiple sources to support business decision-making Develop dashboards, reports, and visualizations to communicate key insights Monitor KPIs and identify trends, opportunities, and operational improvements Collaborate with stakeholders to understand reporting and analytics requirements Perform data validation and ensure data accuracy, consistency, and integrity Create actionable recommendations based on data analysis and business objectives Support forecasting, budgeting, and strategic planning initiatives Assist in building and maintaining data models and reporting systems Requirements:Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a related field Strong proficiency in SQL, Microsoft Excel, and data analysis techniques Experience with Power BI, Tableau, Looker, or other data visualization tools Familiarity with Python, R, or similar analytical programming languages is an advantage Understanding of databases, data warehousing, and reporting concepts Strong analytical thinking, problem-solving, and communication skills Ability to present complex data in a clear and meaningful way Benefits:Competitive salary package Performance-based bonuses Health and insurance benefits Professional development and certification support Exposure to regional and international analytics projects Career advancement opportunities Collaborative and data-driven work environment How to Apply:Please send your CV/Resume and a brief self-introduction to our recruitment team. Join us and help transform data into valuable insights that drive smarter decisions, operational excellence, and business growth!
Hiring: Data Analyst (United Arab Emirates) We are currently seeking a detail-oriented and analytical Data Analyst to join our growing team in the United Arab Emirates. Position:Data Analyst Location:United Arab Emirates Job Type:Full-Time On-site / Hybrid Available Responsibilities:Collect, clean, and analyze data from multiple sources to support business decision-making Develop dashboards, reports, and visualizations to communicate key insights Monitor KPIs and identify trends, opportunities, and operational improvements Collaborate with stakeholders to understand reporting and analytics requirements Perform data validation and ensure data accuracy, consistency, and integrity Create actionable recommendations based on data analysis and business objectives Support forecasting, budgeting, and strategic planning initiatives Assist in building and maintaining data models and reporting systems Requirements:Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a related field Strong proficiency in SQL, Microsoft Excel, and data analysis techniques Experience with Power BI, Tableau, Looker, or other data visualization tools Familiarity with Python, R, or similar analytical programming languages is an advantage Understanding of databases, data warehousing, and reporting concepts Strong analytical thinking, problem-solving, and communication skills Ability to present complex data in a clear and meaningful way Benefits:Competitive salary package Performance-based bonuses Health and insurance benefits Professional development and certification support Exposure to regional and international analytics projects Career advancement opportunities Collaborative and data-driven work environment How to Apply:Please send your CV/Resume and a brief self-introduction to our recruitment team. Join us and help transform data into valuable insights that drive smarter decisions, operational excellence, and business growth!
Hiring: Data Analyst (United Arab Emirates) We are currently seeking a detail-oriented and analytical Data Analyst to join our growing team in the United Arab Emirates. Position:Data Analyst Location:United Arab Emirates Job Type:Full-Time On-site / Hybrid Available Responsibilities:Collect, clean, and analyze data from multiple sources to support business decision-making Develop dashboards, reports, and visualizations to communicate key insights Monitor KPIs and identify trends, opportunities, and operational improvements Collaborate with stakeholders to understand reporting and analytics requirements Perform data validation and ensure data accuracy, consistency, and integrity Create actionable recommendations based on data analysis and business objectives Support forecasting, budgeting, and strategic planning initiatives Assist in building and maintaining data models and reporting systems Requirements:Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a related field Strong proficiency in SQL, Microsoft Excel, and data analysis techniques Experience with Power BI, Tableau, Looker, or other data visualization tools Familiarity with Python, R, or similar analytical programming languages is an advantage Understanding of databases, data warehousing, and reporting concepts Strong analytical thinking, problem-solving, and communication skills Ability to present complex data in a clear and meaningful way Benefits:Competitive salary package Performance-based bonuses Health and insurance benefits Professional development and certification support Exposure to regional and international analytics projects Career advancement opportunities Collaborative and data-driven work environment How to Apply:Please send your CV/Resume and a brief self-introduction to our recruitment team. Join us and help transform data into valuable insights that drive smarter decisions, operational excellence, and business growth!
Job Summary We are seeking an experienced Data & AI Senior Specialist to design, develop, and deliver enterprise AI and data solutions that support business transformation. This is a hands-on technical role responsible for building scalable data platforms, AI applications, machine learning models, and advanced analytics solutions while providing technical leadership and mentoring team members. The ideal candidate will have strong expertise in data engineering, cloud technologies, AI/ML, and Generative AI, with the ability to translate business requirements into innovative, production-ready solutions.<br>Key Responsibilities Design, develop, and maintain enterprise data platforms, data pipelines, data warehouses, and AI-driven solutions. Build, deploy, monitor, and optimize machine learning models, Generative AI applications, and advanced analytics solutions. Write production-quality code, develop prototypes, troubleshoot complex technical issues, and support critical AI and data systems. Define data architecture, engineering standards, AI frameworks, and best practices for coding, testing, security, MLOps, and data governance. Evaluate emerging technologies and provide recommendations on architecture, platforms, and technical solutions. Collaborate with business stakeholders to identify AI opportunities, define solution requirements, and deliver measurable business value. Present technical updates, risks, and recommendations to senior stakeholders. Mentor technical team members through code reviews, technical guidance, and knowledge sharing. Ensure compliance with data governance, information security, privacy regulations, and responsible AI practices. Drive continuous improvement in data quality, AI governance, and operational excellence.<br><br>Requirements Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related field (minimum 6 years' experience), or a Diploma with minimum 7 years' experience in Data Engineering, Data Science, Artificial Intelligence, or related disciplines. Proven experience delivering enterprise AI, machine learning, and data engineering solutions in production environments. Strong hands-on experience with Python, advanced SQL, machine learning, deep learning, NLP, Generative AI, LLMs, and Retrieval-Augmented Generation (RAG). Experience designing scalable ETL/ELT pipelines, enterprise data platforms, and cloud-based solutions using Azure, AWS, GCP, or OCI. Knowledge of MLOps, CI/CD, containerization, model deployment, monitoring, and data governance practices. Strong analytical, problem-solving, stakeholder management, and communication skills. Experience mentoring technical teams and working collaboratively across business and technology functions.
Role:Senior Excel Data Analyst (Remote) Location: Remote (Work from Anywhere) Payout: Competitive, based on experience<br><br>Role Overview:This role requires a Data Analyst (Excel) to provide data management and analysis services on a contractual basis. The work involves collecting, organizing, and transforming data to generate actionable insights for business decision-making. The role supports operational efficiency and data-driven strategies in a technology-focused environment.<br>Key Responsibilities:• Collect and compile data from multiple sources into structured Excel spreadsheets.• Clean, validate, and standardize data to ensure accuracy and consistency.• Build and maintain Excel-based dashboards and reports for performance tracking.• Perform ad-hoc data analysis to identify trends, patterns, and anomalies.• Document processes, formulas, and methodologies for reproducibility and team reference.<br>Required Skills & Qualifications:• Proficiency in Microsoft Excel, including advanced functions, pivot tables, and data visualization tools.• Experience with data cleaning, validation, and transformation using Excel.• Ability to interpret raw data and produce clear, concise summaries and reports.• Familiarity with basic statistical analysis and trend identification in datasets.• Strong attention to detail and commitment to maintaining high data integrity standards.<br>More About the Opportunity:This opportunity allows you to contribute to a technology-driven organization by ensuring reliable, timely data is available for strategic and operational decisions. The role offers exposure to cross-functional data challenges with potential for growth in analytical methodologies and tooling.<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 Excel Data Analyst (Remote) Location: Remote (Work from Anywhere) Payout: Competitive, based on experience<br><br>Role Overview:This role requires a Data Analyst (Excel) to provide data management and analysis services on a contractual basis. The work involves collecting, organizing, and transforming data to generate actionable insights for business decision-making. The role supports operational efficiency and data-driven strategies in a technology-focused environment.<br>Key Responsibilities:• Collect and compile data from multiple sources into structured Excel spreadsheets.• Clean, validate, and standardize data to ensure accuracy and consistency.• Build and maintain Excel-based dashboards and reports for performance tracking.• Perform ad-hoc data analysis to identify trends, patterns, and anomalies.• Document processes, formulas, and methodologies for reproducibility and team reference.<br>Required Skills & Qualifications:• Proficiency in Microsoft Excel, including advanced functions, pivot tables, and data visualization tools.• Experience with data cleaning, validation, and transformation using Excel.• Ability to interpret raw data and produce clear, concise summaries and reports.• Familiarity with basic statistical analysis and trend identification in datasets.• Strong attention to detail and commitment to maintaining high data integrity standards.<br>More About the Opportunity:This opportunity allows you to contribute to a technology-driven organization by ensuring reliable, timely data is available for strategic and operational decisions. The role offers exposure to cross-functional data challenges with potential for growth in analytical methodologies and tooling.<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.
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><ul><li><p>Utilize Python Notebooks, SSIS, Fabric Builds / Power BI, and other data engineering tools to cleanse and transform data.</p></li><li><p>Develop and implement data quality processes to monitor and improve the integrity of our data.</p></li><li><p>Collaborate with cross-functional teams to define data quality standards and best practices.</p></li><li><p>Optimize data cleansing pipelines for efficiency and scalability.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Proven experience in data engineering, specifically in data cleansing and quality assurance.</p></li><li><p>Proficiency in Python Notebooks, SSIS, Fabric Builds / Power BI, and equivalent data engineering tools.</p></li><li><p>Strong understanding of data quality principles and best practices.</p></li><li><p>Excellent problem-solving skills and attention to detail.</p></li><li><p>Ability to work both independently and collaboratively in a fast-paced environment.</p></li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><ul><li><p>Utilize Python Notebooks, SSIS, Fabric Builds, Power BI, and other data engineering tools for data cleansing and quality tasks.</p></li><li><p>Implement data cleaning processes to ensure accuracy and completeness of datasets.</p></li><li><p>Collaborate with cross-functional teams to identify data quality issues and recommend solutions.</p></li><li><p>Develop and maintain data quality metrics and reports to track progress.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.</p></li><li><p>Proven experience with Python Notebooks, SSIS, Fabric Builds, Power BI, and equivalent data engineering tools.</p></li><li><p>Strong understanding of data quality principles and best practices.</p></li><li><p>Excellent analytical and problem-solving skills.</p></li><li><p>Ability to work independently and collaboratively in a team environment.</p></li></ul><p></p></section>