Data Entry Jobs in UAE

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!

Role: Data Protection Officer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract 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. The role involves overseeing data protection strategies and ensuring compliance with privacy regulations. The position requires expertise in handling personally identifiable information and mitigating risks associated with data processing.<br>Key Responsibilities:• Develop, implement, and maintain data protection policies and procedures in alignment with global privacy laws.• Conduct regular audits and assessments to ensure compliance with GDPR, CCPA, and other relevant data protection regulations.• Serve as the primary point of contact for data protection inquiries from internal teams and external stakeholders.• Monitor and report on data protection risks, recommending corrective actions as needed.• Train employees on data privacy best practices and compliance requirements.<br>Required Skills & Qualifications:• Bachelor’s degree in Computer Science, Law, or a related field, or equivalent work experience.• Certification such as CIPP/E, CIPM, or CISSP is preferred.• Experience with data protection impact assessments (DPIAs) and privacy by design frameworks.• Proficiency in interpreting and applying privacy laws such as GDPR, CCPA, and HIPAA.• Strong analytical and problem-solving skills to assess compliance gaps and implement solutions.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the IT Services and IT Consulting industry, contributing to the protection of client and user data across international markets. The position plays a critical role in shaping privacy policies and ensuring adherence to regulatory standards.<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: Data Protection Officer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract 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. The role involves overseeing data protection strategies and ensuring compliance with privacy regulations. The position requires expertise in handling personally identifiable information and mitigating risks associated with data processing.<br>Key Responsibilities:• Develop, implement, and maintain data protection policies and procedures in alignment with global privacy laws.• Conduct regular audits and assessments to ensure compliance with GDPR, CCPA, and other relevant data protection regulations.• Serve as the primary point of contact for data protection inquiries from internal teams and external stakeholders.• Monitor and report on data protection risks, recommending corrective actions as needed.• Train employees on data privacy best practices and compliance requirements.<br>Required Skills & Qualifications:• Bachelor’s degree in Computer Science, Law, or a related field, or equivalent work experience.• Certification such as CIPP/E, CIPM, or CISSP is preferred.• Experience with data protection impact assessments (DPIAs) and privacy by design frameworks.• Proficiency in interpreting and applying privacy laws such as GDPR, CCPA, and HIPAA.• Strong analytical and problem-solving skills to assess compliance gaps and implement solutions.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the IT Services and IT Consulting industry, contributing to the protection of client and user data across international markets. The position plays a critical role in shaping privacy policies and ensuring adherence to regulatory standards.<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: Data Protection Officer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract 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. The role involves overseeing data protection strategies and ensuring compliance with privacy regulations. The position requires expertise in handling personally identifiable information and mitigating risks associated with data processing.<br>Key Responsibilities:• Develop, implement, and maintain data protection policies and procedures in alignment with global privacy laws.• Conduct regular audits and assessments to ensure compliance with GDPR, CCPA, and other relevant data protection regulations.• Serve as the primary point of contact for data protection inquiries from internal teams and external stakeholders.• Monitor and report on data protection risks, recommending corrective actions as needed.• Train employees on data privacy best practices and compliance requirements.<br>Required Skills & Qualifications:• Bachelor’s degree in Computer Science, Law, or a related field, or equivalent work experience.• Certification such as CIPP/E, CIPM, or CISSP is preferred.• Experience with data protection impact assessments (DPIAs) and privacy by design frameworks.• Proficiency in interpreting and applying privacy laws such as GDPR, CCPA, and HIPAA.• Strong analytical and problem-solving skills to assess compliance gaps and implement solutions.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the IT Services and IT Consulting industry, contributing to the protection of client and user data across international markets. The position plays a critical role in shaping privacy policies and ensuring adherence to regulatory standards.<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: Data Protection Officer (Remote) Location: Remote (Work from Anywhere) Job Type: Contract 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. The role involves overseeing data protection strategies and ensuring compliance with privacy regulations. The position requires expertise in handling personally identifiable information and mitigating risks associated with data processing.<br>Key Responsibilities:• Develop, implement, and maintain data protection policies and procedures in alignment with global privacy laws.• Conduct regular audits and assessments to ensure compliance with GDPR, CCPA, and other relevant data protection regulations.• Serve as the primary point of contact for data protection inquiries from internal teams and external stakeholders.• Monitor and report on data protection risks, recommending corrective actions as needed.• Train employees on data privacy best practices and compliance requirements.<br>Required Skills & Qualifications:• Bachelor’s degree in Computer Science, Law, or a related field, or equivalent work experience.• Certification such as CIPP/E, CIPM, or CISSP is preferred.• Experience with data protection impact assessments (DPIAs) and privacy by design frameworks.• Proficiency in interpreting and applying privacy laws such as GDPR, CCPA, and HIPAA.• Strong analytical and problem-solving skills to assess compliance gaps and implement solutions.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the IT Services and IT Consulting industry, contributing to the protection of client and user data across international markets. The position plays a critical role in shaping privacy policies and ensuring adherence to regulatory standards.<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!

Experience: 5-6 years | Location: Dhahran/Khobar, KSA — onsite only | Duration: 3 months (extension possible) | Availability: Immediate<br><br>Role Overview<br><br>Build the data backbone of the MRO Inventory Optimization solution — ingestion, cleansing, transformation, and the optimization logic that turns raw SAP material master and inventory data into actionable outputs. You'll own pipelines from source through to the analytics and application layers.<br><br>Must-Have — technical depth expected<br><br>Python: Production-grade code, modular design, packaging, logging, config management, unit testing (pytest); strong grasp of data structures and performance Pandas / Num Py: Vectorized transformations, joins/merges, groupby/aggregation, handling large datasets, deduplication, type coercion, working with messy real-world MRO/master data Airflow: Authoring DAGs, operators/sensors, scheduling and backfills, task dependencies, retries/SLAs, idempotent pipeline design, parameterization Big Query: Writing performant SQL, partitioning/clustering, cost-aware querying, loading/exporting data, working with nested/repeated fields SQL: Advanced joins, window functions, CTEs, aggregation, query optimization across relational and warehouse engines API development: Building and consuming REST APIs (Fast API/Flask), request validation, pagination, integration with upstream systems (e.g., SAP-sourced data via CPI/OData)<br><br>Good-to-Have<br><br>PySpark (distributed transforms), ML basics (forecasting/classification relevant to inventory optimization — EOQ, demand forecasting, slow-moving/obsolete stock detection), data quality frameworks (Great Expectations or similar), Docker, CI/CD.<br><br>Scope of Work<br><br>Data ingestion from SAP material master and inventory feeds (via API/OData) and other sources into the warehouse Data cleansing and master data processing — standardizing material descriptions, deduplication, classification, handling incomplete records Build and orchestrate ETL pipelines (Airflow → Big Query), ensuring reliability, idempotency, and data lineage Implement inventory optimization logic (reorder points, safety stock, EOQ, criticality/ABC analysis, obsolescence flags) Develop backend services / APIs exposing processed data to the UI and BI layers

Company Description MTEAnalytics is a data-focused organization dedicated to helping businesses make informed decisions through actionable insights. The team works with modern analytics tools and methods to transform raw data into clear, meaningful information for stakeholders. MTEAnalytics values curiosity, integrity, and collaboration in solving complex business problems. The company supports remote collaboration and encourages continuous learning in analytics, data science, and related fields.<br>Role Description This is a remote internship role for a Data Analytics Intern at MTEAnalytics. The intern will assist in collecting, cleaning, and organizing datasets from various sources to support business analysis. Day-to-day responsibilities include running basic statistical analyses, building reports and dashboards, and supporting senior analysts with data-driven projects. The intern will help translate analytical findings into clear summaries, visuals, and recommendations for internal and external stakeholders. The role also involves documenting methods, maintaining data quality standards, and participating in virtual team meetings and knowledge-sharing sessions.<br>Qualifications<br> Strong foundational Analytical Skills, including problem-solving, critical thinking, and attention to detail. Interest or coursework in Business Analytics, with the ability to connect data insights to business questions and decisions. Hands-on exposure or academic experience in Data Analytics, including working with datasets, metrics, and basic visualization. Understanding of Analytics concepts and workflows, such as data pipelines, reporting, and performance tracking. Basic knowledge of Statistics, including descriptive statistics, distributions, and hypothesis testing. Familiarity with tools such as Excel/Google Sheets and at least one analytics or programming tool (e.g., SQL, Python, R, or a BI platform) is preferred. Currently pursuing or recently completed a degree in a quantitative field such as Data Science, Statistics, Economics, Computer Science, Engineering, or a related discipline. Clear written and verbal communication skills, with the ability to explain data findings in simple, non-technical language. Ability to work independently in a remote environment, manage time effectively, and collaborate with a distributed team.

Company Description MTEAnalytics is a data-focused organization dedicated to helping businesses make informed decisions through actionable insights. The team works with modern analytics tools and methods to transform raw data into clear, meaningful information for stakeholders. MTEAnalytics values curiosity, integrity, and collaboration in solving complex business problems. The company supports remote collaboration and encourages continuous learning in analytics, data science, and related fields.<br>Role Description This is a remote internship role for a Data Analytics Intern at MTEAnalytics. The intern will assist in collecting, cleaning, and organizing datasets from various sources to support business analysis. Day-to-day responsibilities include running basic statistical analyses, building reports and dashboards, and supporting senior analysts with data-driven projects. The intern will help translate analytical findings into clear summaries, visuals, and recommendations for internal and external stakeholders. The role also involves documenting methods, maintaining data quality standards, and participating in virtual team meetings and knowledge-sharing sessions.<br>Qualifications<br> Strong foundational Analytical Skills, including problem-solving, critical thinking, and attention to detail. Interest or coursework in Business Analytics, with the ability to connect data insights to business questions and decisions. Hands-on exposure or academic experience in Data Analytics, including working with datasets, metrics, and basic visualization. Understanding of Analytics concepts and workflows, such as data pipelines, reporting, and performance tracking. Basic knowledge of Statistics, including descriptive statistics, distributions, and hypothesis testing. Familiarity with tools such as Excel/Google Sheets and at least one analytics or programming tool (e.g., SQL, Python, R, or a BI platform) is preferred. Currently pursuing or recently completed a degree in a quantitative field such as Data Science, Statistics, Economics, Computer Science, Engineering, or a related discipline. Clear written and verbal communication skills, with the ability to explain data findings in simple, non-technical language. Ability to work independently in a remote environment, manage time effectively, and collaborate with a distributed team.

Job title: Data Engineer — Real-Time Building Telemetry Company: Info Labs Global Location: Dubai, United Arab Emirates (on-site) Employment type: Contract / Project-Based engagement Eligibility: Candidates must already be residing in the UAE with a valid residence visa About the role Dozens of subsystems, thousands of points, inconsistent naming, mixed units. You'll turn that into a clean, normalised, queryable data model that the twin and its analytics depend on. What you'll do Design the canonical data model and tagging standard for building assets and telemetry Build ETL/ELT pipelines for both real-time streams and batch/historical loads Implement normalisation, unit conversion, deduplication, and data quality validation Manage retention, aggregation, and downsampling strategies for time-series data Support analytics and reporting requirements — KPIs, energy trends, utilisation, SLA metrics Monitor pipeline health and data completeness What you'll bring4+ years in data engineering with strong SQL and Python Hands-on experience with time-series data and streaming pipelines Practical data-mapping experience across heterogeneous source systems Familiarity with ETL tooling and orchestration (Airflow, NiFi, or equivalent) Rigour about data quality — you validate rather than assume Nice to have Exposure to semantic tagging standards such as Brick Schema or Project Haystack Analytics/BI layer experience (Power BI, Grafana, Superset) Location & engagement Based in Dubai, UAE — on-site at Info Labs Global and at the client facility as the project requires Project-based engagement for the duration of the Digital Twin program, with extension subject to project pipeline Applicants must currently be in the UAE with a valid residence visa. We are not sponsoring relocation for this program, and candidates who cannot join within a short notice period will not be considered.

Job title: Data Engineer — Real-Time Building Telemetry Company: Info Labs Global Location: Dubai, United Arab Emirates (on-site) Employment type: Contract / Project-Based engagement Eligibility: Candidates must already be residing in the UAE with a valid residence visa About the role Dozens of subsystems, thousands of points, inconsistent naming, mixed units. You'll turn that into a clean, normalised, queryable data model that the twin and its analytics depend on. What you'll do Design the canonical data model and tagging standard for building assets and telemetry Build ETL/ELT pipelines for both real-time streams and batch/historical loads Implement normalisation, unit conversion, deduplication, and data quality validation Manage retention, aggregation, and downsampling strategies for time-series data Support analytics and reporting requirements — KPIs, energy trends, utilisation, SLA metrics Monitor pipeline health and data completeness What you'll bring4+ years in data engineering with strong SQL and Python Hands-on experience with time-series data and streaming pipelines Practical data-mapping experience across heterogeneous source systems Familiarity with ETL tooling and orchestration (Airflow, NiFi, or equivalent) Rigour about data quality — you validate rather than assume Nice to have Exposure to semantic tagging standards such as Brick Schema or Project Haystack Analytics/BI layer experience (Power BI, Grafana, Superset) Location & engagement Based in Dubai, UAE — on-site at Info Labs Global and at the client facility as the project requires Project-based engagement for the duration of the Digital Twin program, with extension subject to project pipeline Applicants must currently be in the UAE with a valid residence visa. We are not sponsoring relocation for this program, and candidates who cannot join within a short notice period will not be considered.

Role: E-commerce Data Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $40 - $50/hour<br>Role Overview:We are hiring for one of our clients, seeking an E-commerce Data & Catalog Specialist to work on a contract basis. The role involves managing and optimizing product data to ensure accuracy and consistency across e-commerce platforms. You will be responsible for maintaining high-quality catalogs that drive sales and improve customer experience.<br>Key Responsibilities:• Analyze and cleanse product data to ensure accuracy and completeness in catalogs.• Organize and structure product information for optimal searchability and presentation.• Collaborate with cross-functional teams to resolve discrepancies and improve data quality.• Implement and maintain data governance policies to ensure compliance with standards.• Monitor and report on catalog performance metrics to identify trends and areas for improvement.<br>Required Skills & Qualifications:• Experience with e-commerce platforms and catalog management systems.• Proficiency in data analysis and cleansing techniques.• Familiarity with product data standards such as GTIN, UPC, or ISBN.• Ability to interpret and apply data governance policies.• Strong attention to detail and problem-solving skills.• Experience working with large datasets and identifying inconsistencies.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the retail industry, contributing to the enhancement of product data accuracy and customer experience. You will play a key role in ensuring that our catalogs meet industry standards and customer expectations.<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: E-commerce Data Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $40 - $50/hour<br>Role Overview:We are hiring for one of our clients, seeking an E-commerce Data & Catalog Specialist to work on a contract basis. The role involves managing and optimizing product data to ensure accuracy and consistency across e-commerce platforms. You will be responsible for maintaining high-quality catalogs that drive sales and improve customer experience.<br>Key Responsibilities:• Analyze and cleanse product data to ensure accuracy and completeness in catalogs.• Organize and structure product information for optimal searchability and presentation.• Collaborate with cross-functional teams to resolve discrepancies and improve data quality.• Implement and maintain data governance policies to ensure compliance with standards.• Monitor and report on catalog performance metrics to identify trends and areas for improvement.<br>Required Skills & Qualifications:• Experience with e-commerce platforms and catalog management systems.• Proficiency in data analysis and cleansing techniques.• Familiarity with product data standards such as GTIN, UPC, or ISBN.• Ability to interpret and apply data governance policies.• Strong attention to detail and problem-solving skills.• Experience working with large datasets and identifying inconsistencies.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the retail industry, contributing to the enhancement of product data accuracy and customer experience. You will play a key role in ensuring that our catalogs meet industry standards and customer expectations.<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: Financial Data Analyst (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $14 - $36/hour<br>Role Overview:We are hiring for one of our clients, seeking a Workflow Annotator — Finance & Data Analysis to work on a contract basis. You will analyze financial and data workflows to identify patterns and anomalies. The role involves structured annotation of datasets for model training and validation.<br>Key Responsibilities:• Annotate financial transaction data to support machine learning model development.• Review and label structured datasets for accuracy and consistency.• Identify discrepancies in financial workflows and document findings.• Collaborate with data scientists to refine annotation guidelines.• Ensure compliance with financial data privacy and security standards.<br>Required Skills & Qualifications:• Experience with financial data analysis or auditing.• Proficiency in data annotation tools or platforms.• Attention to detail for identifying patterns and anomalies.• Ability to follow structured annotation guidelines.• Familiarity with financial terminology and workflows.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the financial services industry, contributing to the improvement of AI-driven financial automation systems. The role is integral to enhancing data quality for predictive modeling in finance.<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!

We are looking for a motivated and analytical Data Scientist to join our team. The candidate will be responsible for designing and implementing machine learning models, extracting insights from complex datasets, and collaborating with cross-functional teams to drive data-informed decisions.<br>Key Responsibilities Design, build, and validate machine learning and statistical models Clean, preprocess, and analyze large structured and unstructured datasets Translate business problems into data science solutions and measurable outcomes Develop and maintain data pipelines in collaboration with engineering teams Communicate findings and model performance clearly to technical and non-technical stakeholders Coordinate with senior data scientists and product teams to deploy models into production Stay current with new tools, frameworks, and best practices in the field Maintain accuracy, reproducibility, and quality standards across projects<br>Requirements Bachelor's/Master's degree in Data Science, Computer Science, Statistics, or related field (or equivalent experience)1–6 years of experience in data science, machine learning, or analytics Strong proficiency in Python (Num Py, Pandas, Scikit-learn) and SQLSolid understanding of statistical modeling, machine learning algorithms, and data structures Strong problem-solving skills and ability to work with ambiguous, large-scale data Ability to work independently in a remote setup<br>Preferred Skills Experience with deep learning frameworks (Tensor Flow, PyTorch) Exposure to MLOps practices and model deployment (Docker, cloud ML platforms) Knowledge of NLP, computer vision, or time-series forecasting Experience presenting insights to business/leadership stakeholders

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br><p><b>Key Responsibilities:</b></p><br><ul> <li><span>Accurately label and categorize large datasets, including text, audio, images, and video.</span>&nbsp;</li> <li><span>Review and correct data annotations to ensure quality and consistency.</span></li> <li><span>Work closely with the AI and Machine Learning teams to understand project-specific guidelines.</span>&nbsp;</li> <li><span>Provide feedback to improve the data annotation process.</span>&nbsp;</li> <li><span>Meet daily/weekly annotation targets while maintaining high-quality standards.</span><br></li> </ul><br><p><b>Requirements:</b></p><br><ul> <li><span>Fluent in English (B2 or above).</span>&nbsp;</li> <li><span>Basic computer skills and familiarity with online tools.</span>&nbsp;</li> <li><span>Ability to follow detailed instructions and adapt to changing project needs.</span>&nbsp;</li> <li><span>Prior experience in data annotation or related fields is a plus but not required.</span>&nbsp;</li> <li><span>Experience in Data Annotation is a MUST.</span><br></li> </ul><br> </div>

<p>Data Analyst – Immediate Hiring</p> <p>We are looking for a detail-oriented Data Analyst to join our team in the UAE.</p> <p>What You&#8217;ll Do:</p> <p>Collect, organize, and analyze data from different sources<br /> Prepare reports, dashboards, and insights for management<br /> Identify trends and support business decisions<br /> Work with Excel and other data tools</p> <p>Who Can Apply:</p> <p>Freshers are welcome to apply<br /> Basic knowledge of MS Excel and data handling<br /> Analytical thinking and attention to detail<br /> Willingness to learn and grow in data field</p> <p>What We Offer:</p> <p>Competitive salary package<br /> Visa and company benefits as per UAE labor law<br /> Career growth opportunities<br /> Supportive and professional environment</p> <p>Job Type: Full-Time<br /> Location: UAE</p> <p>Apply Today!</p> <p>Send your CV via WhatsApp: +971 52 958 5969</p> <p>Limited vacancies available – apply early to secure your chance.</p>

Title - Data Quality Analyst (Contract role) Location: Abu Dhabi, UAE <br>Key Responsibilities -Validating and reconciling data across dashboards, reports, and mobile apps against source data and business logic. Acting as a quality gatekeeper before analytical products go live (including UAT support) Managing data issues reported by users and coordinating fixes with technical teams Documenting report logic and contributing to quality standards<br>Qualifications & Experience -3–5 years in data quality, BI validation, or reporting Strong SQL skills and hands-on experience with Power BI or Tableau Someone who can translate between technical and business perspectives<br>Apply now if interested

Role: Data Analyst - Business (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $100/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Analyst to work on a contract basis. The role involves analyzing complex datasets, identifying trends, and translating findings into actionable insights for business decisions.<br>Key Responsibilities:• Collect, process, and perform statistical analyses on large datasets to uncover trends and patterns.• Develop and maintain dashboards and reports to communicate key metrics and insights.• Collaborate with cross-functional teams to define data requirements and ensure alignment with business objectives.• Generate ad-hoc reports and visualizations to support decision-making across departments.• Ensure data accuracy and consistency through validation and quality checks.<br>Required Skills & Qualifications:• Proficiency in SQL for querying and manipulating relational databases.• Experience with data visualization tools such as Tableau, Power BI, or similar.• Strong analytical skills with the ability to interpret complex data sets.• Familiarity with statistical analysis and data modeling techniques.• Knowledge of Python or R for data processing and analysis is required.• Experience with Excel, including advanced functions and pivot tables.• Attention to detail and ability to work independently with minimal supervision.• Strong communication skills to present findings clearly to non-technical stakeholders.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to data-driven decision-making and strategic initiatives. The position is fully remote, allowing for flexible collaboration across time zones.<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: Data Analyst - Business (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $100/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Analyst to work on a contract basis. The role involves analyzing complex datasets, identifying trends, and translating findings into actionable insights for business decisions.<br>Key Responsibilities:• Collect, process, and perform statistical analyses on large datasets to uncover trends and patterns.• Develop and maintain dashboards and reports to communicate key metrics and insights.• Collaborate with cross-functional teams to define data requirements and ensure alignment with business objectives.• Generate ad-hoc reports and visualizations to support decision-making across departments.• Ensure data accuracy and consistency through validation and quality checks.<br>Required Skills & Qualifications:• Proficiency in SQL for querying and manipulating relational databases.• Experience with data visualization tools such as Tableau, Power BI, or similar.• Strong analytical skills with the ability to interpret complex data sets.• Familiarity with statistical analysis and data modeling techniques.• Knowledge of Python or R for data processing and analysis is required.• Experience with Excel, including advanced functions and pivot tables.• Attention to detail and ability to work independently with minimal supervision.• Strong communication skills to present findings clearly to non-technical stakeholders.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to data-driven decision-making and strategic initiatives. The position is fully remote, allowing for flexible collaboration across time zones.<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: Data Analyst - Business (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $30 - $100/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Analyst to work on a contract basis. The role involves analyzing complex datasets, identifying trends, and translating findings into actionable insights for business decisions.<br>Key Responsibilities:• Collect, process, and perform statistical analyses on large datasets to uncover trends and patterns.• Develop and maintain dashboards and reports to communicate key metrics and insights.• Collaborate with cross-functional teams to define data requirements and ensure alignment with business objectives.• Generate ad-hoc reports and visualizations to support decision-making across departments.• Ensure data accuracy and consistency through validation and quality checks.<br>Required Skills & Qualifications:• Proficiency in SQL for querying and manipulating relational databases.• Experience with data visualization tools such as Tableau, Power BI, or similar.• Strong analytical skills with the ability to interpret complex data sets.• Familiarity with statistical analysis and data modeling techniques.• Knowledge of Python or R for data processing and analysis is required.• Experience with Excel, including advanced functions and pivot tables.• Attention to detail and ability to work independently with minimal supervision.• Strong communication skills to present findings clearly to non-technical stakeholders.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to data-driven decision-making and strategic initiatives. The position is fully remote, allowing for flexible collaboration across time zones.<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!