Data Entry Jobs in UAE

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a highly skilled <strong>Data &amp; Analytics Specialist</strong> to support our business owners in making data-driven decisions by designing and delivering robust analytical solutions. This role will be responsible for creating insightful dashboards and reports, translating business needs into technical solutions, and driving efficiency through data-driven insights. You will collaborate closely with stakeholders across functions to shape and execute BI initiatives using industry-leading tools like Power BI and Microsoft technologies.</p><br><p><strong>Key Responsibilities</strong></p><ul><li><p>Outlining the architecture as well as building visual analytics solutions via dashboards and reports.</p></li><li><p>Work closely with stakeholders to gather and analyse business needs and translate them into technical specifications.</p></li><li><p>Develop reports, scorecards, data exploration and visual analytics using existing and emerging tools and technologies.</p></li><li><p>Provide insights, perform analysis and manage the design, build and delivery of robust dashboards and reports to the business.</p></li><li><p>Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality.</p></li><li><p>Work with Digital Core Team and business units to determine Bi project missions, goals, tasks, timelines and resource requirement.</p></li><li><p>Ensure the reports that are developed are tested and all defects and issues are tracked and managed to resolution.</p></li><li><p>Conceptualize complex Institutional problems, discovering business insights through visualization techniques, turning data into information, and information into insight and insight into business decisions.</p></li><li><p>Execute advanced data modelling capability to meet the reporting requirements by acquiring data from primary or secondary data sources and maintaining databases.</p></li><li><p>Collate the metrics, calculations and data for reports and dashboards and work with teams to standardize the reporting requirements.</p></li><li><p>Work closely with the business teams and interpret their BI needs in technical terms, and define the same to ensure adherence to all BI standards and best practices, document the business requirements, anticipated benefits, success criteria for analytics initiatives.</p></li><li><p>Develop, deploy and maintain PowerBI cubes, Data base queries.</p></li><li><p>Optimize data models and queries for performance and efficiency.</p></li><li><p>Research, review and analyse existing data and reporting outputs and systems and develop strategies for enhancing or leveraging these processes and systems.</p></li><li><p>Stay updated on industry trends and best practices in business intelligence and data visualization.</p></li><li><p>Identify, analyse, and interpret trends or patterns in complex data sets.</p></li><li><p>Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.</p></li><li><p>Work with management to prioritize business and information needs.</p></li><li><p>Locate and define new process improvement opportunities.</p></li><li><p>Other duties as needed based on business priorities/conditions.</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 Computer Science, Engineering, Applications, or a related field.</p></li><li><p>Certification in Business Analysis is a plus.</p></li><li><p>Microsoft Azure certifications (e.g., DP-100, PL-300) or equivalent certifications from other cloud platforms are highly desirable.</p></li></ul><p><strong>Experience Requirements</strong></p><ul><li><p>4–6 years of experience in Analytics and Business Intelligence, primarily within the Microsoft BI ecosystem.</p></li><li><p>Proven track record in designing business-critical dashboards using Power BI with sources like SQL Server and Lakehouse.</p></li><li><p>At least 3 years of hands-on experience with Dynamics 365.</p></li><li><p>Experience in data warehousing, data lake architecture, and end-to-end BI lifecycle.</p></li><li><p>Proficient in Power BI (both cloud and on-premise versions), including DAX and performance tuning.</p></li><li><p>Solid background in dimensional data modeling (star and snowflake schema).</p></li><li><p>Experience working with SSAS, SSRS, and maintaining OLAP/Tabular cubes.</p></li><li><p>Experience integrating various data sources such as Excel, CSV, Azure SQL, Azure Data Warehouse, and Oracle.</p></li><li><p>Familiarity with Azure services like Databricks, DevOps, Data Lake, and Storage is a strong advantage.</p></li></ul><p><strong>Technical Skills &amp; Knowledge</strong></p><ul><li><p>Strong expertise in SQL Server, SSAS, SSIS, and SSRS.</p></li><li><p>Experience with database design, performance tuning, and writing complex SQL queries.</p></li><li><p>Knowledge of Microsoft Dynamics 365 architecture.</p></li><li><p>Advanced skills in Power BI report/dashboard design and deployment.</p></li><li><p>Experience in scripting languages such as Python or R is preferred.</p></li><li><p>Knowledge of RPA tools and predictive analytics is a plus.</p></li></ul><p></p></section>

Role Description The Senior Data Analyst will play a key role in supporting data-driven decision-making for Power Platform User Group UAE and its initiatives. This part-time, hybrid role is based in Abu Dhabi, with flexibility for some work from home. Day-to-day responsibilities include collecting, cleaning, and analyzing data from events, community activities, and digital platforms to generate actionable insights and performance reports. The Senior Data Analyst will build and maintain data models and dashboards, identify trends and opportunities to improve engagement and impact, and present findings to leadership and stakeholders in a clear and accessible way. The role also involves collaborating with technical and business teams to define metrics, optimize data processes, and support strategic planning. Qualifications Strong analytical skills and experience in data analytics to interpret complex datasets and derive insights. Solid understanding of statistics and statistical methods for reporting, forecasting, and performance measurement. Proficiency in data modeling, including designing and maintaining data structures, dashboards, and reports. Effective communication skills to present data findings clearly to both technical and non-technical stakeholders. Experience with Microsoft Power Platform (Power BI, Power Apps, Power Automate) or similar analytics tools is highly beneficial. Proficiency in SQL, Excel, and at least one data visualization tool (e.g., Power BI, Tableau) is an advantage. Bachelor’s degree in Data Science, Statistics, Computer Science, Information Systems, or a related field, or equivalent practical experience. Ability to work independently in a hybrid environment, manage part-time hours effectively, and collaborate within a community-driven organization.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><strong>About the Role:</strong><br><p>We are seeking a seasoned Governance, Risk, and Compliance Data Privacy Officer to lead and strengthen our data privacy program in the United Arab Emirates. This role will drive privacy governance frameworks, risk management, and regulatory compliance to ensure the protection of personal data across our operations.</p><br><strong>Responsibilities:</strong><br><ul><li>Develop, implement, and maintain data privacy policies, procedures, and standards in line with GDPR, UAE Data Protection Law, and other global regulations</li><li>Design and manage governance frameworks to ensure consistent application of privacy controls across the organization</li><li>Conduct privacy impact assessments (PIAs), data protection impact assessments (DPIAs), and vendor risk assessments</li><li>Identify, assess, monitor, and report data privacy risks, incidents, and remediation actions to senior management</li><li>Collaborate with cross-functional teams to integrate privacy requirements into business processes and technology projects</li><li>Lead data breach response activities, including investigation, notification, and remediation</li><li>Develop and deliver training and awareness programs on data privacy, risk management, and regulatory compliance</li><li>Prepare regular reports and dashboards on privacy metrics, compliance posture, and risk trends</li></ul><br><strong>Required Qualifications:</strong><br><ul><li>Bachelor’s degree in Law, Information Security, or a related field</li><li>5–10 years of professional experience in data privacy, governance, risk management, or compliance roles</li><li>Technical expertise in data privacy compliance tools, methodologies, and GDPR requirements</li><li>Proven experience in designing and implementing governance frameworks and risk management processes</li><li>Strong knowledge of global regulatory compliance requirements, including GDPR and UAE Data Protection Law</li><li>Excellent communication, stakeholder management, and presentation skills</li><li>Ability to lead privacy impact assessments and manage cross-functional privacy initiatives</li></ul><br><strong>Preferred Qualifications:</strong><br><ul><li>Professional certifications such as CIPP/E, CIPM, CISM, or CRISC</li><li>Experience with ISO 27701, ISO 27001, or other information security standards</li><li>Advanced degree (Master’s) in Law, Information Security, or related field</li><li>Prior experience working in multinational organizations or regulated industries</li><li>Familiarity with local UAE regulatory environment and Data Office requirements</li></ul><br></div></section>

Company Description Dominant Digital Distribution FZCO (D3) is a global digital technology distributor that connects innovative technology manufacturers with local markets worldwide. The company combines a strong understanding of regional requirements with a focus on exceptional service to deliver tailored digital solutions. D3 works closely with partners to help them leverage technology for business growth, operational efficiency, and competitive advantage. Operating in a rapidly evolving digital landscape, D3 is committed to enabling markets to adopt and maximize cutting-edge technologies.<br>Role Description This is a full-time, on-site Data Scientist role based in Dubai, United Arab Emirates. The Data Scientist will collect, clean, and analyze large datasets to generate insights that support strategic and operational decision-making. The role involves building and validating statistical and machine learning models, designing dashboards and visual reports, and communicating findings to technical and non-technical stakeholders. The Data Scientist will collaborate with product, operations, and commercial teams to identify data-driven opportunities, optimize processes, and measure performance. Additional responsibilities include documenting methodologies, maintaining data quality, and staying current with emerging data science tools and best practices.<br>Qualifications<br> Strong foundation in data science, including experience applying Data Science and Data Analytics methods to real-world business problems. Proficiency in Statistics and Data Analysis for hypothesis testing, experimentation, and performance measurement. Ability to create clear, actionable Data Visualization and dashboards for stakeholders. Hands-on experience with programming languages such as Python or R, and familiarity with common data science libraries (e.g., pandas, scikit-learn, Num Py). Experience working with relational and non-relational databases, SQL, and data querying tools. Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or Engineering. Strong problem-solving skills, attention to detail, and the ability to translate business questions into analytical tasks. Effective communication skills and ability to work collaboratively in cross-functional teams. Experience in technology distribution, digital platforms, or related industries is an advantage.

Nair Systems is currently looking for Manager - Model Implementation, Data Engineering and IFRS9 Risk Data for our UAE operations <br>Role Purpose:This role demands a highly technical, data-driven professional with strong expertise in ETL pipeline development, credit risk data management, and IFRS9 model support. The incumbent will lead the design, implementation, and governance of end-to-end risk data pipelines, ensuring alignment with regulatory and modelling requirements.<br>As part of the ERM – Risk Function, the Risk Data Management team plays a critical role in meeting CBUAE, IFRS9, and Basel II/III requirements. The role is responsible for ensuring availability, accuracy, and traceability of data used in PD, LGD, and EAD models, including default tagging, post-default events, recovery tracking, and exposure computation.<br>Core Domain Expertise:IFRS9, Basel II/III, PD/LGD/EAD modelling, credit risk data lifecycle Should you be interested please send resume at mini.surendran@nairsystems.com

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking an experienced Business/Data Analyst&nbsp;with a strong background in Power BI, Python, and Microsoft Dynamics 365&nbsp;to drive data-driven decision-making across the organization.</p><p>Key Responsibilities:</p><ul><li><p>Design, develop, and maintain <strong>advanced Power BI dashboards and reports</strong></p></li><li><p>Translate complex business requirements into <strong>meaningful insights and visualizations</strong></p></li><li><p>Analyze large datasets to identify trends, patterns, and performance gaps</p></li><li><p>Collaborate with stakeholders to define <strong>KPIs and reporting frameworks</strong></p></li><li><p>Ensure <strong>high accuracy, data integrity, and consistency</strong>&nbsp;in reporting</p></li><li><p>Automate data processes and improve reporting efficiency</p><br></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Must have 3-5 years experience in Power BI, SQL, Python and Microsoft Dynamics as a must</p></li><li><p><strong>Expert-level Power BI</strong>&nbsp;(dashboard development, data modeling, reporting)</p></li><li><p>Strong knowledge of <strong>DAX formulas</strong></p></li><li><p>Proficiency in <strong>Python</strong>&nbsp;(data handling, automation, analysis)</p></li><li><p>Hands-on experience with <strong>Microsoft Dynamics 365</strong></p></li><li><p>Strong <strong>SQL</strong>&nbsp;skills for querying and data manipulation</p></li><li><p>Experience with <strong>Power Query</strong>&nbsp;(ETL, data transformation)</p></li><li><p>Advanced <strong>Excel</strong>&nbsp;(Pivot Tables, XLOOKUP, Power Pivot, dashboards)</p></li></ul><br><p>Core Competencies:</p><ul><li><p>Strong analytical and problem-solving mindset</p></li><li><p>Ability to handle <strong>large and complex datasets</strong></p></li><li><p>Excellent communication and stakeholder management skills</p></li><li><p>Strong understanding of business processes and reporting needs</p></li></ul><p></p></section>

Key Responsibilities: 1. ETL & Risk Data Engineering<br><br> Design, develop and maintain scalable ETL pipelines using SQL, Python, and SAS Support datasets for default identification, post-default events, recovery, and exposure Implement incremental and full-load strategies ensuring no duplication or leakage Optimize SQL for large-scale distributed processing environments Integrate data from core banking, collections, GSAM, and external sources 2. IFRS9 & Credit Risk Data Management Translating IFRS9 methodology into technical data pipelines Support PD, LGD, EAD model data preparation Implement staging (Stage 1/2/3), default, and curing logic Handle recoveries, write-offs, restructures, and exposure calculations 3. Model Implementation & Validation Support Provision model-ready datasets for deployment Support feature engineering, segmentation, and backtesting datasets Perform reconciliation with developed/reference outputs and identify mismatches 4. Data Quality & Governance Develop DQ frameworks covering completeness, accuracy, and consistency Perform root cause analysis on data issues Ensure full data lineage and traceability 5. Risk Technology & System Integration Collaborate with IT for system integration and model deployment Support risk system migration and upgrades Perform testing for data migration and model accuracy 6. Automation & Reporting Automate regulatory and internal reporting processes Prepare datasets for dashboards and regulatory submissions Support reporting tools such as Power BI and Business Objects Preferred Tools & Technologies: SQL (Impala, Hive, Oracle), Python, SAS, Cloudera CDP, Power BI, SAP BO Core Domain Expertise: IFRS9, Basel II/III, PD/LGD/EAD modelling, credit risk data lifecycle Skills: data,etl,reporting

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, analyze, and interpret data from multiple business sources Develop dashboards, reports, and visualizations to support decision-making Monitor KPIs and identify trends, patterns, and opportunities for improvement Collaborate with stakeholders to gather reporting and analytics requirements Perform data validation and ensure data accuracy, consistency, and integrity Create actionable insights and recommendations based on analytical findings Support forecasting, budgeting, and strategic planning initiatives Maintain and enhance reporting systems and data models 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, Qlik Sense, or similar visualization tools Familiarity with Python, R, or other analytical programming languages is an advantage Understanding of databases, data warehousing, and reporting concepts Strong analytical thinking, problem-solving, and communication skills Ability to transform complex datasets into clear and actionable insights Benefits:Competitive salary package Performance-based bonuses Health and insurance benefits Professional development and certification support Exposure to enterprise analytics and digital transformation 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 turn data into meaningful business insights that drive smarter decisions, operational excellence, and sustainable 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, analyze, and interpret data from multiple business sources Develop dashboards, reports, and visualizations to support decision-making Monitor KPIs and identify trends, patterns, and opportunities for improvement Collaborate with stakeholders to gather reporting and analytics requirements Perform data validation and ensure data accuracy, consistency, and integrity Create actionable insights and recommendations based on analytical findings Support forecasting, budgeting, and strategic planning initiatives Maintain and enhance reporting systems and data models 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, Qlik Sense, or similar visualization tools Familiarity with Python, R, or other analytical programming languages is an advantage Understanding of databases, data warehousing, and reporting concepts Strong analytical thinking, problem-solving, and communication skills Ability to transform complex datasets into clear and actionable insights Benefits:Competitive salary package Performance-based bonuses Health and insurance benefits Professional development and certification support Exposure to enterprise analytics and digital transformation 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 turn data into meaningful business insights that drive smarter decisions, operational excellence, and sustainable 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, analyze, and interpret data from multiple business sources Develop dashboards, reports, and visualizations to support decision-making Monitor KPIs and identify trends, patterns, and opportunities for improvement Collaborate with stakeholders to gather reporting and analytics requirements Perform data validation and ensure data accuracy, consistency, and integrity Create actionable insights and recommendations based on analytical findings Support forecasting, budgeting, and strategic planning initiatives Maintain and enhance reporting systems and data models 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, Qlik Sense, or similar visualization tools Familiarity with Python, R, or other analytical programming languages is an advantage Understanding of databases, data warehousing, and reporting concepts Strong analytical thinking, problem-solving, and communication skills Ability to transform complex datasets into clear and actionable insights Benefits:Competitive salary package Performance-based bonuses Health and insurance benefits Professional development and certification support Exposure to enterprise analytics and digital transformation 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 turn data into meaningful business insights that drive smarter decisions, operational excellence, and sustainable growth!

<p>DATA ANALYST – HIRING NOW</p> <p>We are looking for a detail-oriented Data Analyst to join our team.</p> <p>Job Role</p> <p>Collect, organize, and analyze data<br /> Prepare reports and dashboards<br /> Identify trends and insights for decision-making<br /> Support management with data-based recommendations</p> <p>Requirements</p> <p>Freshers may apply<br /> Basic knowledge of Excel and data tools<br /> Analytical and problem-solving skills<br /> Attention to detail</p> <p>Location: UAE<br /> Job Type: Full-Time</p> <p>Apply Now:<br /> WhatsApp CV to: +971-52-945-6306</p>

Role: Data Tools Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $40 - $80/hour<br>Role Overview:One of our clients is seeking a Engineering & Data tools Specialist to contribute to the development and maintenance of internal tools and data infrastructure. The role involves collaborating with cross-functional teams to enhance data processing capabilities and streamline engineering workflows.<br>Key Responsibilities:• Design, develop, and maintain data tools and pipelines to support business operations and decision-making.• Optimize existing engineering tools for improved performance, scalability, and usability.• Collaborate with engineering and data teams to integrate new tools and technologies into workflows.• Troubleshoot and resolve issues in data processing systems, ensuring reliability and efficiency.• Document tool configurations, processes, and troubleshooting steps for team reference.<br>Required Skills & Qualifications:• Proficiency in Python, SQL, and data processing frameworks such as Pandas or PySpark.• Experience with data pipeline development, ETL processes, and data warehousing solutions.• Familiarity with cloud platforms such as AWS, GCP, or Azure for tool deployment and management.• Knowledge of containerization and orchestration tools like Docker and Kubernetes.• Strong problem-solving skills with a focus on automation and tooling improvements.• Experience working in Agile or Scrum environments and collaborating with distributed teams.<br>More About the Opportunity:This role offers the chance to work with a global leader in the technology industry, contributing to the scalability and efficiency of data-driven systems. The position supports critical infrastructure that enables faster, more reliable decision-making across the organization.<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.<br>Apply Now!

Role Overview The Data Analyst (H/F) is responsible for transforming complex datasets into clear, actionable insights that support strategic planning and operational improvement. This role involves gathering data from various sources, performing detailed analyses, and presenting findings to stakeholders across the organization. The Data Analyst ensures data accuracy, builds reporting tools, and contributes to the development of data-driven solutions. This position is ideal for analytical professionals who enjoy problem-solving, critical thinking, and working with diverse teams. Key Responsibilities• Collect, clean, and organize data from multiple systems and databases to ensure high-quality datasets.• Perform exploratory and advanced analyses to identify trends, opportunities, and areas for optimization.• Design and maintain dashboards, automated reports, and visualization tools for internal teams.• Collaborate with departments such as marketing, operations, finance, and product to understand analytical needs.• Support performance tracking by monitoring KPIs and providing regular updates.• Translate complex analytical results into clear, understandable insights for decision-makers.• Assist in the development of forecasting models and analytical methodologies.• Document data processes, standards, and definitions to strengthen data governance.• Conduct quality checks on datasets and recommend improvements for data integrity.• Stay informed about emerging tools, techniques, and best practices in analytics. Qualifications and Requirements• Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, Economics, or a related discipline.• 1–3 years of experience in data analysis, business intelligence, or a similar analytical role.• Proficiency with analytical tools such as SQL, Excel, Python, or R.• Experience working with visualization platforms such as Tableau, Power BI, or equivalent tools.• Strong understanding of analytical methods, statistical concepts, and data modeling.• High attention to detail with strong organizational and problem-solving skills.• Ability to communicate analytical findings clearly to both technical and non-technical audiences.• Comfortable managing multiple tasks and deadlines in a dynamic environment.• Strong collaboration and interpersonal skills for cross-functional teamwork.• Proactive mindset with a desire to learn, improve processes, and contribute to data-driven culture. Summary The Data Analyst (H/F) plays a vital role in enabling informed decision-making across the organization. By analyzing data, developing meaningful insights, and collaborating with key stakeholders, this role supports growth, efficiency, and strategic direction. It is well-suited for analytical and detail-oriented professionals committed to delivering accurate and impactful insights.

At Why Hiring, we believe in the power of connecting talented individuals with incredible remote job opportunities. Our mission is to simplify the job search process and empower professionals to find fulfilling roles that align with their skills and passions, regardless of geographical constraints.<br>About The Role:This position requires strong quantitative skills, experience with large and complex datasets, and the ability to collaborate with analysts, engineers, and mission partners to develop high-impact solutions that drive intelligence insight and operational advantage.<br>Perform statistical analysis and data exploration to extract meaningful insights from complex datasets Support the development and validation of predictive models to identify trends and patterns Contribute to the development of AI/ML models and data-driven solutions Conduct exploratory data analysis to support decision-making and operational planning Assist in building and maintaining data pipelines for data collection, processing, and integration Collaborate with data scientists, engineers, and cross-functional teams to improve data workflows Develop scripts and tools to automate repetitive tasks and improve efficiency Support initiatives to enhance data quality, structure, and accessibility Apply basic experimental and analytical approaches to test ideas and evaluate outcomes Contribute to improving data systems, workflows, and analytical capabilities Assist in identifying data gaps, inconsistencies, and opportunities for optimization Participate in team meetings, project discussions, and knowledge-sharing sessions<br>Education Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.<br>Required Skills Proficiency in Python, R, SQL, or similar programming languages. Experience with data visualization platforms such as Power BI or Tableau. Strong understanding of statistical techniques and modeling approaches. Foundational knowledge of AI/ML concepts and applications. Experience working with relational and/or NoSQL databases. Familiarity with cloud-based big data technologies. Ability to explain complex technical findings to non-technical audiences. Understanding of intelligence analysis processes and mission requirements. Experience working with structured and unstructured datasets in complex environments.<br>Experience Minimum of 0 to 2 years of experience in data science, analytics, machine learning, or related technical fields.<br>Why Hiring does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Role Summary<p>Seeking a skilled Data Analysis &amp; Dashboard Specialist with expertise in data analytics, dashboard development, and business intelligence reporting. The role focuses on transforming large structured datasets into actionable insights through interactive dashboards, predictive analytics, and optimized data models. Experience with Qlik Sense is essential, while Oracle EBS knowledge is highly desirable.</p><br><br>Key Responsibilities<ul><li><p>Design, develop, and maintain interactive dashboards and reports using <span>Qlik Sense</span>.</p><br><br></li><li><p>Analyze large datasets to identify trends, patterns, and business opportunities.</p><br><br></li><li><p>Build predictive, statistical, and analytical models to support business decision-making.</p><br><br></li><li><p>Develop and optimize SQL queries for data extraction, transformation, and analysis.</p><br><br></li><li><p>Ensure data quality, consistency, accuracy, and performance across reporting solutions.</p><br><br></li><li><p>Create and maintain data models that support reporting and analytics requirements.</p><br><br></li><li><p>Collaborate with business stakeholders to gather requirements and translate them into BI solutions.</p><br><br></li><li><p>Troubleshoot reporting issues and implement continuous improvements to analytics platforms.</p><br><br></li><li><p>Support enhancements and optimization of existing dashboards and reporting frameworks.</p><br><br></li></ul>Required SkillsTechnical Skills<ul><li><p>Advanced SQL (query optimization, joins, stored procedures, performance tuning)</p><br><br></li><li><p>Strong experience with <span>Qlik Sense</span> dashboard development</p><br><br></li><li><p>Data modeling and data warehousing concepts</p><br><br></li><li><p>Statistical analysis and predictive modeling</p><br><br></li><li><p>ETL and data transformation techniques</p><br><br></li><li><p>Data visualization best practices</p><br><br></li><li><p>Reporting and business intelligence development</p><br><br></li></ul>Preferred Skills<ul><li><p>Experience with <span>Oracle E-Business Suite</span> (Oracle EBS)</p><br><br></li><li><p>Knowledge of Python or R for advanced analytics</p><br><br></li><li><p>Familiarity with cloud data platforms and modern BI ecosystems</p><br><br></li><li><p>Understanding of enterprise reporting frameworks</p><br><br></li><li><p>Strong analytical and problem-solving abilities</p><br><br></li><li><p>Experience working with large structured datasets</p><br><br></li><li><p>Ability to communicate insights to business and technical stakeholders</p><br><br></li><li><p>Detail-oriented with a focus on data accuracy and governance</p><br><br></li><li><p>Capable of working independently and in cross-functional teams</p><br><br></li></ul>Experience Level<p><strong>Mid to Senior Level (4–8+ years preferred)</strong>, particularly with:</p><br><br><ul><li><p>Qlik Sense development</p><br><br></li><li><p>SQL-based analytics</p><br><br></li><li><p>Enterprise reporting and dashboarding</p><br><br></li><li><p>Data modeling and business intelligence solutions</p><br><br></li></ul><br> <br><br> </div>

About UsDMCC is a government entity established in 2002 to enhance commodity trade flows through Dubai. We perform a range of roles which continue to position Dubai as the preferred destination for global commodities trade and DMCC as the world’s No.1 Free Zone.<br>Company Profile:DMCC is a center of global trade. Headquartered in Dubai, DMCC is the world’s most interconnected Free Zone, home to over 25,000 member companies and the leading trade and enterprise hub for commodities. Whether developing vibrant neighborhoods with world-class property like Jumeirah Lakes Towers and the much-anticipated Uptown Dubai or delivering high-performance business services, DMCC provides everything its dynamic community needs to live, work, and thrive. Made for Trade, DMCC is proud to sustain and grow Dubai’s position as the place to be for global trade today and long into the future.<br>Role Summary:<br>The Associate Director – Data Protection & Information Security is responsible for developing, implementing, and maintaining the organization's enterprise information security program to protect information assets, systems, and business operations. The role ensures that security practices align with business objectives, regulatory requirements, industry standards, and risk management frameworks,The role is responsible for overseeing the organization's data protection and privacy program, ensuring compliance with applicable data protection laws and regulations, including the UAE Personal Data Protection Law (PDPL), GDPR, and other relevant privacy frameworks. The DPO serves as an on-privacy matters, monitors compliance, manages privacy risks, and acts as the primary point of contact for regulatory authorities and data subjects.<br>Key Responsibilities:<br>Provide strategic governance over DMCC’s information security framework alignment with business objectives, regulatory requirements and executive management direction. Develop, maintain, and enforce enterprise information security policies, standards, procedures, and guidelines. Ensure alignment of security initiatives with business goals and strategic objectives. Develop, implement, and maintain data protection policies, procedures, and standards. Monitor compliance with applicable data protection and privacy laws. Establish data governance and management frameworks. Maintain records of processing activities and data inventories. Ensure that all DMCC data are classified as per Dubai Data Law and ensure that the are protected as per the data classification policy. Maintain the organization's information security risk register including non-digital assets. Conduct and review Data Protection Impact Assessments (DPIAs). Conduct and review Data Protection Impact Assessments (DPIAs). Oversee processes for handling data subject requests, including, access requests, rectification requests, erasure requests, objection requests and data portability requests. Ensure that the consent management records are properly maintained. Ensure requests are handled within regulatory timeframes. Support the investigation and management of personal data breaches. Coordinate breach notification processes with regulators and affected individuals where required. Maintain records of privacy incidents and corrective actions. Review contracts and Data Processing Agreements (DPAs). Assess vendor compliance with privacy requirements. Monitor international data transfers and applicable safeguards. Develop and Maintain Business Continuity Program, refresh Business Impact Analysis, re-perform risk assessments and ensure that the business continuity and recovery plans are updated. Conduct testing exercise, provide crisis management support. Develop and deliver Business Continuity Management awareness and training to employees. Cognizance of security controls across infrastructure, applications, cloud environments, and third-party services. Ensure security monitoring reports KPI numbers are collected and presented to the IT Steering Committee. Serve as the primary contact point for data protection authorities. Respond to regulatory inquiries, audits, and investigations. Stay informed of developments in privacy legislation and best practices. Monitor regulatory changes and recommend necessary security controls and compliance measures. Provide regular reports to senior management regarding data security, privacy compliance status, risks and incidents, improvement initiatives and regulatory developments. Promote a security-first and data protection culture across the organization. Develop and deliver privacy awareness and training programs.<br>Qualifications:<br>Bachelor’s degree in law, Information Security, Compliance, Risk Management, Information Technology, or a related field. CISM or CISSP or Similar qualification.10+ years of experience in information security, privacy, compliance, legal, or risk management.<br>Strong knowledge of:UAE Personal Data Protection Law (PDPL) GDPRISO 27001Information Security Management Systems (ISMS) Data governance and information security principles Cyber Security Expertise, Compliance and Regulatory Knowledge, Data Privacy and Protection Expertise, Emerging Technology Knowledge, Business Acumen<br>The successful candidate will enjoy the following:<br>Working at the world’s best Free Zone with highly motivated colleagues A very diverse workforce from all around the globe Well-being initiatives all over the year Market competitive basic salary Housing allowance Transportation allowance National Allowance Annual flight allowance Other alternative family benefits Pension Scheme Discretionary bonus schemes Generous annual leave Medical and life insurance cover Free covered parking Retail discounts with over 450 outlets across JLT.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking an experienced Data Engineer with strong expertise in Python, Microservices Architecture, Data Transformation, and Backend Engineering to join our Data Engineering team.<br> The ideal candidate will be responsible for designing and developing scalable backend services, data processing frameworks, RESTful APIs, and data transformation pipelines that support enterprise data-driven applications.<br> This role requires strong hands-on experience with Python-based web frameworks, database technologies, ETL pipelines, microservices, API security, and modern software engineering practices.<br> Candidates should have experience building production-grade applications with a focus on scalability, reliability, security, and performance.<br> Key Responsibilities • Design, develop, and maintain scalable backend applications and web frameworks using Python.<br> • Build robust RESTful APIs and microservices to serve enterprise datasets and business applications.<br> • Develop and optimize data transformation pipelines to process, clean, enrich, and prepare data for analytics and business consumption.<br> • Design and implement scalable data access layers integrating multiple relational and NoSQL databases.<br> • Collaborate with frontend developers to integrate user-facing components with backend services.<br> • Ensure applications are secure, highly available, performant, and maintainable.<br> • Design and maintain database schemas and data models aligned with business requirements.<br> • Implement ETL processes for extracting, transforming, and loading large-scale datasets.<br> • Optimize database performance, query execution, and data retrieval mechanisms.<br> • Troubleshoot production issues and implement scalable solutions for long-term platform stability.<br> • Participate in code reviews, testing activities, technical design discussions, and engineering best practices.<br> • Work closely with business stakeholders, architects, and engineering teams within Agile delivery environments.<br> Required Technical Skills Python Development • Strong hands-on experience in Core Python development.<br> • Expertise in building backend services and APIs using Python.<br> • Strong understanding of object-oriented programming principles and software design patterns.<br> • Experience writing clean, reusable, maintainable, and production-quality code.<br> Web Frameworks &amp; API Development Strong experience with one or more Python frameworks including: • FastAPI • Flask • Django • Pyramid Experience with: • RESTful API design and development • API versioning and documentation • Routing and middleware implementation • Authentication and authorization • Framework testing and debugging Microservices Architecture • Strong experience designing and developing microservices-based applications.<br> • Deep understanding of distributed systems architecture.<br> • Experience building scalable and resilient service-oriented platforms.<br> • Knowledge of service communication patterns and API orchestration.<br> • Experience handling concurrent requests and high-volume transaction processing.<br> Asynchronous Programming • Strong understanding of asyncio and asynchronous programming concepts.<br> • Experience handling concurrent connections and non-blocking operations.<br> • Knowledge of performance optimization for I/O-intensive applications.<br> Security &amp; API Protection • Strong understanding of API and microservices security best practices.<br> • Experience implementing: OAuth 2.<br>0 JWT Authentication API Gateway integrations Encryption and secure communication protocols • Experience implementing authentication, authorization, and access control mechanisms.<br> Database &amp; ORM Expertise • Strong experience with relational and NoSQL databases.<br> • Experience designing database schemas and optimizing database performance.<br> • Strong proficiency with: SQL PostgreSQL MySQL MongoDB Redis Hands-on experience with ORMs including: • SQLAlchemy • Django ORM Ability to: • Define models • Perform CRUD operations • Write optimized queries • Handle transactions • Manage database migrations Data Engineering &amp; Transformation • Experience building and maintaining ETL pipelines.<br> • Strong understanding of data transformation, enrichment, aggregation, and cleansing techniques.<br> • Experience ensuring data quality, consistency, and integrity.<br> • Ability to support analytical and data-driven applications through scalable processing frameworks.<br> DevOps &amp; CI/CD • Experience building and maintaining CI/CD pipelines.<br> • Experience deploying and supporting production-grade applications.<br> • Understanding of infrastructure automation and modern software delivery practices.<br> • Experience with release management and deployment workflows.<br> Big Data &amp; Data Technologies Exposure to technologies such as: • Hadoop • Apache Spark • Apache Kafka Understanding of: • Data Warehousing concepts • Distributed data processing • Enterprise data architectures Version Control &amp; Development Practices • Strong experience with Git version control.<br> • Experience with: Branching strategies Code reviews Pull Requests Merge conflict resolution Collaborative development workflows Testing &amp; Debugging • Experience with: Unit Testing Integration Testing Logging Monitoring Performance Troubleshooting Production Support Nice to Have • Experience with AWS, Azure, or GCP.<br> • Experience with Docker and Kubernetes.<br> • Exposure to cloud-native architectures.<br> • Knowledge of data governance, compliance, privacy, and security standards.<br> • Experience supporting large-scale enterprise data platforms.<br> Required Competencies • Strong analytical and problem-solving skills.<br> • Excellent communication and stakeholder management capabilities.<br> • Strong collaboration and teamwork skills.<br> • Ability to work effectively in Agile/Scrum environments.<br> • Strong ownership mindset with attention to detail.<br> • Ability to document solutions and communicate technical concepts clearly.<br> Education Bachelor’s Degree in Computer Science, Information Technology, Engineering, Data Engineering, or a related field.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>Help AG is looking for an experienced and highly skilled Senior Security Engineer with strong expertise in Data Loss Prevention (DLP), data classification, and data discovery technologies. The ideal candidate will have a minimum of 8 years of hands-on experience in designing, implementing, administering, and supporting enterprise Data classification and DLP solutions, specifically with Symantec DLP and GEODI platforms.</span></p><br><p><span>The candidate will be responsible for protecting sensitive organizational data, implementing data governance controls, managing endpoint and discovery solutions, and ensuring compliance with security standards and regulatory requirements.</span></p><br><br><p><strong><span>Responsibilities</span></strong></p><br><ul><li><p><span>Design, deploy, configure, and manage enterprise-level DLP solutions using Symantec DLP.</span></p><br></li><li><p><span>Implement and maintain GEODI Data Classifier, GEODI Data Discovery, and GEODI End Point Discovery solutions.</span></p><br></li><li><p><span>Develop and maintain DLP policies for monitoring, detection, and prevention of sensitive data leakage.</span></p><br></li><li><p><span>Configure and manage endpoint, network, email, cloud, and storage-based DLP controls.</span></p><br></li><li><p><span>Perform data discovery and classification activities across enterprise environments.</span></p><br></li><li><p><span>Identify sensitive and regulated data across structured and unstructured repositories.</span></p><br></li><li><p><span>Analyse DLP incidents, investigate security violations, and recommend remediation actions.</span></p><br></li><li><p><span>Collaborate with infrastructure, application, and compliance teams to strengthen data protection posture.</span></p><br></li><li><p><span>Fine-tune policies and detection mechanisms to reduce false positives and improve operational efficiency.</span></p><br></li><li><p><span>Generate operational, compliance, and risk assessment reports for management and audit requirements.</span></p><br></li><li><p><span>Support incident response activities related to data exfiltration and insider threats.</span></p><br></li><li><p><span>Perform system upgrades, patch management, troubleshooting, and performance optimization for DLP platforms.</span></p><br></li><li><p><span>Develop documentation including SOPs, architecture diagrams, operational runbooks, and knowledge transfer materials.</span></p><br></li><li><p><span>Ensure compliance with organizational security policies and industry regulations such as GDPR, ISO 27001, HIPAA, or PCI-DSS where applicable.</span></p><br></li><li><p><span>Provide technical guidance and mentorship to junior engineers and operational teams.</span></p><br></li><li><p><span>Operations:</span></p><br><ul><li><p><span>Provide L2/L3 support for DLP and data discovery platforms.</span></p><br></li><li><p><span>Participate in security incident investigations and root cause analysis.</span></p><br></li><li><p><span>Support change management, upgrades, and maintenance activities.</span></p><br></li><li><p><span>Ensure platform availability, performance, and operational stability.</span></p><br></li><li><p><span>Participate in on-call support and critical incident handling when required.</span></p><br></li></ul></li></ul><p><strong><span>Qualifications &amp; Skills</span></strong></p><br><ul><li><p><span>Bachelor’s degree in Computer Science, Information Security, Information Technology, or related field.</span></p><br></li><li><p><span>8+ years of experience in Information Security and Data Protection technologies.</span></p><br></li><li><p><span>Security certifications such as CISSP, CISM, CEH, Symantec DLP Certification, or equivalent will be an advantage.</span></p><br></li><li><p><span>Relevant cybersecurity certifications are preferred.</span></p><br></li><li><p><span>Strong hands-on experience with:</span></p><br><ul><li><p><span>Symantec DLP</span></p><br></li><li><p><span>GEODI Data Classifier</span></p><br></li><li><p><span>GEODI Data Discovery</span></p><br></li><li><p><span>GEODI End Point Discovery</span></p><br></li></ul></li><li><p><span>Experience in deploying and managing endpoint and discovery agents.</span></p><br></li><li><p><span>Strong understanding of data classification methodologies and data governance principles.</span></p><br></li><li><p><span>Experience in incident analysis, policy tuning, and troubleshooting DLP solutions.</span></p><br></li><li><p><span>Good knowledge of Windows environments, file systems, and endpoint security.</span></p><br></li><li><p><span>Understanding of compliance and regulatory frameworks related to data classification and protection.</span></p><br></li><li><p><span>Experience in handling structured and unstructured data repositories.</span></p><br></li><li><p><span>Strong analytical, troubleshooting, and problem-solving skills.</span></p><br></li><li><p><span>Excellent communication and stakeholder management abilities.</span></p><br></li><li><p><span>Strong ownership and accountability.</span></p><br></li><li><p><span>Skills in handling technical conflicts, organizational challenges, planning and implementation challenges.</span></p><br></li><li><p><span>Ability to work in a fast-paced enterprise environment.</span></p><br></li><li><p><span>Strong documentation and reporting capabilities.</span></p><br></li><li><p><span>Team collaboration and stakeholder communication</span></p><br></li><li><p><span>Incident handling and escalation management</span></p><br></li><li><p><span>Self-motivated and a professional attitude.</span></p><br></li><li><p><span>Judgment, decision making, cooperation, sensitivity to others, technical problem-solving, system troubleshooting, and business writing.</span></p><br></li></ul><p><strong><span>Benefits</span></strong></p><br><ul><li><p><span>Health insurance with one of the leading global providers for medical insurance.</span></p><br></li><li><p><span>Career progression and growth through challenging projects and work.</span></p><br></li><li><p><span>Employee engagement and wellness campaigns activities throughout the year.</span></p><br></li><li><p><span>Annual Flight tickets to home country.</span></p><br></li><li><p><span>Excellent learning and development opportunities.</span></p><br></li><li><p><span>Flexible/Hybrid working environment.</span></p><br></li><li><p><span>Inclusive and diverse working environment.</span></p><br></li><li><p><span>Open door policy</span></p><br></li></ul><p><strong><span>About Us:</span></strong></p><br><p><span>Help AG is the cybersecurity arm of e&amp; enterprise (formerly Etisalat Digital) and provides leading enterprise businesses and governments across the Middle East with strategic consultancy combined with tailored information security services and solutions that address their diverse requirements, enabling them to evolve securely with a competitive edge.</span></p><br><p><span>Present in the Middle East since 2004, Help AG was strategically acquired by e&amp; (formerly Etisalat Group) in Feb 2020, hence creating a cybersecurity and digital transformation powerhouse in the region.</span></p><br><p><span>Help AG has firmly established itself as the region's trusted IT security advisor by remaining vendor-agnostic, trustworthy, independent, and cybersecurity focused. With best-of-breed technologies from industry-leading vendor partners, expertly qualified service delivery teams and a state-of-the-art consulting practice, Help AG delivers unmatched value to its customers by strengthening their cyber defenses and safeguarding their business.</span></p><br> </div>

Udrive is seeking a detail-oriented and motivated Junior Data Analyst to support cross-functional analytics needs for our business. This role will assist our analytics team in managing operational reporting, automating workflows, conducting exploratory analyses, and ensuring data integrity across platforms.<br><br>You’ll work closely with business teams including Operations, Product, Marketing, and Customer Service to deliver data-driven insights and maintain reporting excellence.<br><br>Key Responsibilities<br><br>Reporting, Analysis Visualization: Build and maintain recurring reports and dashboards using Tableau Excel, and internal tools. Track key performance indicators (KPIs) across fleet, operations, marketing, and business lines. Assist in visual storytelling and communicating insights to stakeholders in a clear, digestible format. Conduct exploratory and ad-hoc analyses to support initiatives like fleet optimization, customer segmentation, marketing initiatives. Collaborate with marketing, product, engineering to derive actionable insights from raw datasets. Support the automation of recurring data processes using SQL, Python Data Quality Governance: Perform data audits to ensure consistency, accuracy, and completeness. Identify and flag anomalies, track data lineage, and maintain documentation for analytics workflows. Document Data Processes, Dashboards Requests Collaboration Support Partner with stakeholders in Operations, Marketing, Product, and CS to address analytical requests and performance queries. Help train teams in reading dashboards and interpreting KPIs.<br><br>Qualifications Skills<br><br>Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field.0–2 years of experience in a data analyst or business analyst role. Proficiency in SQL and working knowledge of Python (Pandas, Num Py, etc.). Experience with data visualization (Tableau, Power BI, Super Set) Strong Excel/Google Sheets skills. Comfortable working with large datasets and drawing actionable insights. Detail-oriented, with a problem-solving mindset and a proactive attitude. Preferred Skills Exposure to Super Set, GA4, NoSQL, CAC, LTV Jira, Confluence Understanding of business metrics in the mobility, logistics, or Saa S industry is a plus. Ability to work in a fast-paced startup environment. Understanding and experience of data pipelines / ETL concepts is preferred.

Role: Data Protection Specialist (Remote) Location: Remote (Work from Anywhere) Payout: $40-$70/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Protection Officer (PII Compliance) to work on a contract basis. This individual will apply their expertise to help train next-generation AI systems, ensuring the protection and lawful processing of personal data. The role is critical in shaping how AI models learn, reason, and perform through high-quality, real-world input. This opportunity will allow the successful candidate to contribute to the development of frontier AI models in a global industry.<br>Key Responsibilities:• Oversee the implementation and management of PII compliance protocols, ensuring the protection and lawful processing of personal data.• Evaluate data flows and documentation to identify, classify, and mitigate risks associated with structural identifiability, including non-obvious PII and proprietary workflows.• Collaborate with cross-functional teams to develop, review, and update policies on data management, privacy, and compliance.• Provide guidance and training to team members on best practices for sensitive document handling and data protection.• Ensure compliance with relevant data protection regulations, including GDPR.<br>Required Skills & Qualifications:• Proven experience in PII compliance and data protection, with a focus on AI and machine learning.• Strong understanding of data management, data privacy, and compliance regulations.• Excellent analytical and problem-solving skills, with the ability to identify and mitigate risks.• Strong communication and interpersonal skills, with the ability to collaborate with cross-functional teams.• Experience working with data protection regulations, including GDPR.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the AI industry, contributing to the development of frontier AI models. The successful candidate will have the opportunity to work with a global team and gain experience in a rapidly growing industry.<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.<br>Apply Now!