24 Power Bi jobs in Qatar
Power BI Trainer
Posted today
Job Viewed
Job Description
Must have prior training experience.
**Job Type**: Part-time
Application Question(s):
- DO you have experience with Power BI?
- Do you have training experience?
**Education**:
- Bachelor's (preferred)
Data Analytics and Power BI Developer
Posted 2 days ago
Job Viewed
Job Description
Overview
Data Analytics and Power BI Developer — Location: Qatar — Job Type: Full-time, Contract
Job PurposeThe Data Analytics and Power BI Developer will lead analytics applications and tools to implement dashboards, reports, and applications for major projects. The role involves managing data warehouses, reporting systems, and predictive modelling software, transforming raw data into meaningful visualizations that drive actionable insights. The position is responsible for ensuring data and system functioning according to specifications, developing effective data management approaches, maintaining data integrity, and providing technical leadership on data and system technologies. The role also covers development of ETL tools for data integration and extraction (Extract, Transform, Load).
Qualifications- Bachelor’s degree in Computer Science, Information Management, Business, Accounting, Marketing, Engineering, Project Management, Supply Chain, Law, Communications, Technology, Mathematics, or Statistics
- Minimum 8 years’ experience as a Power BI Developer, Dashboard Designer, or similar role, preferably in the oil and gas construction industry
- Minimum 5 years’ experience in SQL for data manipulation and extraction
- Experience with Oracle Primavera P6
- Strong knowledge of data analytics, dashboard, and report development
- Experience in Power BI, MS SQL, SharePoint, Excel, and Power Platform including Power Apps
- Data modelling and visualization concepts, Data Analysis Expressions (DAX), Power Query
- ETL tools experience (e.g., SSIS or similar)
- ASP.NET, SharePoint, HTML, CSS
- Experience with report automation using SSRS, Power BI Report Builder, SAP Analytics Cloud, SAP BusinessObjects Lumira, SAP Data Services, WEBI (BusinessObjects Web Intelligence) preferred
- Strong IT, coordination, analytical, and problem-solving skills
- Excellent written and spoken English, communication, collaboration, and supervisory skills
Data Analytics and Power BI Developer
Posted 2 days ago
Job Viewed
Job Description
Job Purpose The Data Analytics and Power BI Developer will lead analytics applications and tools to implement dashboards, reports, and applications for major projects. The role involves managing data warehouses, reporting systems, and predictive modelling software, transforming raw data into meaningful visualizations that drive actionable insights. The position is responsible for ensuring data and system functioning according to specifications, developing effective data management approaches, maintaining data integrity, and providing technical leadership on data and system technologies. The role also covers development of ETL tools for data integration and extraction (Extract, Transform, Load).
Qualifications
Bachelor’s degree in Computer Science, Information Management, Business, Accounting, Marketing, Engineering, Project Management, Supply Chain, Law, Communications, Technology, Mathematics, or Statistics
Experience and Knowledge
Minimum 8 years’ experience as a Power BI Developer, Dashboard Designer, or similar role, preferably in the oil and gas construction industry
Minimum 5 years’ experience in SQL for data manipulation and extraction
Experience with Oracle Primavera P6
Technical and Business Skills
Strong knowledge of data analytics, dashboard, and report development
Experience in Power BI, MS SQL, SharePoint, Excel, and Power Platform including Power Apps
Data modelling and visualization concepts, Data Analysis Expressions (DAX), Power Query
ETL tools experience (e.g., SSIS or similar)
ASP.NET, SharePoint, HTML, CSS
Experience with report automation using SSRS, Power BI Report Builder, SAP Analytics Cloud, SAP BusinessObjects Lumira, SAP Data Services, WEBI (BusinessObjects Web Intelligence) preferred
Strong IT, coordination, analytical, and problem-solving skills
Excellent written and spoken English, communication, collaboration, and supervisory skills
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Power Apps and Power BI Specialist
Posted today
Job Viewed
Job Description
We are looking for the position of Power Apps and Power BI Specialist (Arabic) for Qatar location.
Job Description:
- Build and maintain Canvas and Model-Driven apps to automate workflows and improve internal services.
- Integrate with SharePoint, Dataverse, SQL, and external APIs.
- Gather and analyze business requirements and translate them into scalable, secure solutions.
- Design and deploy interactive dashboards and analytical reports to support data-driven decision making.
- Connect and model data from multiple sources; create DAX measures and Power Query transformations.
- Ensure data quality, accuracy, and optimal refresh performance.
If you are available for this job, please share your profiles as soon as possible.
Job Type: Full-time
Pay: QAR15, QAR22,000.00 per month
Experience:
- Canvas and Model-Driven apps : 3 years (Preferred)
- DAX measures : 2 years (Preferred)
- Integrate with SharePoint, Dataverse, SQL, and external APIs: 2 years (Preferred)
Microsoft Power Bi And Data Scientist Engineer
Posted 14 days ago
Job Viewed
Job Description
Overview
We are seeking an experienced Data Engineer with expertise in Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric to join our growing data engineering team. The ideal candidate will design, build, and optimize data pipelines, data lakes, and data warehouses on Azure to empower data scientists, analysts, and business stakeholders. This role involves leveraging ADF for ETL processes, Synapse for analytics, and Microsoft Fabric for modern data workflows to deliver scalable, secure, and efficient data solutions.
Responsibilities- Design, develop, and deploy ETL pipelines using Azure Data Factory (ADF).
- Integrate ADF with external sources (SQL, NoSQL, REST APIs, flat files, Azure Blob, Data Lake).
- Implement data validation, transformation rules, and error handling within pipelines.
- Automate data movement and orchestration across storage, databases, and analytics platforms.
- Use Mapping Data Flows for advanced transformations and aggregations.
- Build and manage data lakes and warehouses on Azure Synapse Analytics.
- Design serverless SQL pools, Spark pools, and data integration pipelines in Synapse Studio.
- Optimize Synapse performance for batch processing and real-time analytics.
- Develop OLAP and OLTP data models for reporting and exploration.
- Implement Microsoft Fabric for end-to-end data integration across Azure services.
- Leverage Fabric’s Lakehouses, Warehouses, and Data Pipelines for analytics and AI-driven insights.
- Enable collaborative workflows across data engineering, data science, and BI teams.
- Build self-service BI solutions within Fabric to empower business users.
- Design cloud-native architectures for scalable and cost-effective data systems.
- Ensure data governance, security, and compliance (GDPR, CCPA).
- Implement RBAC, encryption, and Azure Purview for data cataloging, lineage, and auditing.
- Optimize data storage, compute resources, and ensure high availability.
- Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or Azure Pipelines.
- Automate workflows with Azure Logic Apps and Power Automate.
- Monitor and troubleshoot pipeline performance to minimize downtime.
- Continuously improve data engineering processes for automation, scalability, and maintainability.
- Work closely with cross-functional teams including data scientists, analysts, and business stakeholders.
- Provide Power BI integration for advanced dashboards and reporting.
- Support AI/ML workflows using Azure Machine Learning when required.
- Report to the Project Manager and execute assigned data engineering tasks.
- 6+ years of hands-on experience in data engineering and cloud data architecture.
- Strong expertise in:
- Azure Data Factory (ADF) – ETL and pipelines
- Azure Synapse Analytics – data lakes, warehouses, modeling, analytics
- Microsoft Fabric – data integration, lakehouses, warehouses, and collaborative workflows
- Proficiency in SQL / T-SQL and Azure SQL Database.
- Knowledge of Azure Blob, Data Lake, and Azure SQL storage.
- Experience with Hadoop, Spark, Databricks within Azure ecosystems.
- Familiarity with DevOps practices, CI/CD pipelines, and automation.
- Strong background in data governance, quality, and security in cloud environments.
- Exposure to Power BI, Azure ML, or other BI/AI tools (preferred).
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Azure Synapse Analytics
- Microsoft Certified: Azure AI Engineer Associate
- Microsoft Certified: Azure Solutions Architect Expert
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, Business, or related field.
Location: Onsite/Hybrid (as per project requirement)
Reporting To: Project Manager
Work Schedule: Standard office hours (flexibility as per project needs)
Skills: azure, power bi, transact-sql (t-sql), data lake, adf, ai/ml, cloud architecture, rbac, olap, etl pipelines
#J-18808-LjbffrMicrosoft Power Bi And Data scientist Engineer
Posted today
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Job Description
Job Description
ECCO Gulf Majorel Qatar is seeking a highly skilled Microsoft Power BI and Data Scientist Engineer to join our dynamic team in Qatar. As a key player in our Information Technology and Services sector, you will be responsible for leveraging data to drive strategic decisions and improve business outcomes. Your role will involve designing, developing, and deploying business intelligence solutions using Microsoft Power BI, as well as conducting complex data analysis to support our research initiatives.
- Experience in building, managing, and optimizing data pipelines, data lakes, and data warehouses on Azure.
- Develop and maintain Power BI dashboards and reports to provide actionable insights.
- Integrate Azure Data Factory with external data sources such as SQL Databases, NoSQL
- Databases, REST APIs, flat files, and cloud-based storage (Azure Blob, Data Lake).Analyze large datasets to identify trends, patterns, and insights.
- Ensure data quality by implementing data validation, transformation rules, and ensuring seamless error handling in pipelines.
- Automate data movement and orchestration between different storage systems, databases, and analytics platforms using ADF pipelines and Data Flows.
- Work with Azure Data Factory Mapping Data Flows to perform complex transformations and aggregations.
- Build and manage data lakes and data warehouses on Azure Synapse Analytics, ensuring seamless integration with Azure SQL Data Warehouse, Azure Data Lake, and other Azure services.
- Implement data transformation processes to support large-scale data analytics, including batch processing and real-time analytics.
- Develop data models for OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing) to support reporting and data exploration.
- Work with Azure Synapse Studio to design serverless SQL pools, Spark Pools, and data integration pipelines.
- Optimize performance of data workloads in Azure Synapse Analytics, ensuring scalability and efficiency for reporting and analysis.
- Implement Microsoft Fabric for end-to-end data integration across Azure Data Services, ensuring seamless collaboration between data engineering, data science, and business intelligence teams.
- Ensure compliance with data governance frameworks (GDPR, CCPA) while handling sensitive data in cloud environments.
- Implement role-based access control (RBAC) and data encryption techniques to safeguard data throughout the pipeline.
- Leverage Microsoft Fabric's Lakehouses, Data Warehouses, and Data Pipelines for advanced analytics and AI-driven insights.
- Build data-driven applications and business intelligence solutions within Microsoft Fabric to empower business users with self-service data tools.
- Design cloud-based architectures for scalable, cost-effective, and reliable data processing systems using Azure services.
- Implement best practices for cloud security, data governance, and data privacy using Azure tools like Azure Security Center and Azure Policy.
- Develop and maintain CI/CD pipelines for automating the deployment of data pipeline changes using tools like Azure DevOps, GitHub Actions, and Azure Pipelines.
- Use Azure Logic Apps and Power Automate to automate routine tasks and improve operational efficiency.
Required Profile
We are looking for an experienced professional with a strong background in data science and business intelligence. The ideal candidate will possess the following qualifications and skills:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- 6+ years of hands-on experience in data engineering, building and managing data pipelines, data integration, and cloud data architecture.
- Proven experience with Microsoft Power BI and data visualization tools.
- Expertise in Azure Data Factory (ADF) for building scalable ETL pipelines.
- Strong experience with Azure Synapse Analytics and designing data models for data lakes, data warehouses, and analytics.
- Experience using Microsoft Fabric for collaborative data workflows, integrating data sources, and building data pipelines.
- Proficiency in SQL, T-SQL, and Azure SQL Database for querying and managing data.
- Knowledge of data storage options, including Azure Blob Storage, Data Lake, and Azure SQL Database.
- Experience with big data technologies (Hadoop, Spark) and integration within Azure Synapse or Azure Databricks.
- Familiarity with DevOps practices, CI/CD pipelines, and automation for data workflows and deployments.
- Strong understanding of data governance, data quality, and cloud security in the Azure ecosystem.
- Familiarity with Power BI, Azure Machine Learning, or other BI/AI tools is a plus.
Certifications
Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Azure Synapse Analytics
Microsoft Power Bi And Data Scientist Engineer
Posted 14 days ago
Job Viewed
Job Description
Data Engineer
with expertise in
Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric
to join our growing data engineering team. The ideal candidate will design, build, and optimize
data pipelines, data lakes, and data warehouses
on Azure to empower data scientists, analysts, and business stakeholders. This role involves leveraging
ADF for ETL processes, Synapse for analytics, and Microsoft Fabric for modern data workflows
to deliver scalable, secure, and efficient data solutions.
Responsibilities
Design, develop, and deploy ETL pipelines using Azure Data Factory (ADF).
Integrate ADF with external sources (SQL, NoSQL, REST APIs, flat files, Azure Blob, Data Lake).
Implement data validation, transformation rules, and error handling within pipelines.
Automate data movement and orchestration across storage, databases, and analytics platforms.
Use Mapping Data Flows for advanced transformations and aggregations.
Build and manage data lakes and warehouses on Azure Synapse Analytics.
Design serverless SQL pools, Spark pools, and data integration pipelines in Synapse Studio.
Optimize Synapse performance for batch processing and real-time analytics.
Develop OLAP and OLTP data models for reporting and exploration.
Implement Microsoft Fabric for end-to-end data integration across Azure services.
Leverage Fabric’s Lakehouses, Warehouses, and Data Pipelines for analytics and AI-driven insights.
Enable collaborative workflows across data engineering, data science, and BI teams.
Build self-service BI solutions within Fabric to empower business users.
Design cloud-native architectures for scalable and cost-effective data systems.
Ensure data governance, security, and compliance (GDPR, CCPA).
Implement RBAC, encryption, and Azure Purview for data cataloging, lineage, and auditing.
Optimize data storage, compute resources, and ensure high availability.
Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or Azure Pipelines.
Automate workflows with Azure Logic Apps and Power Automate.
Monitor and troubleshoot pipeline performance to minimize downtime.
Continuously improve data engineering processes for automation, scalability, and maintainability.
Work closely with cross-functional teams including data scientists, analysts, and business stakeholders.
Provide Power BI integration for advanced dashboards and reporting.
Support AI/ML workflows using Azure Machine Learning when required.
Report to the Project Manager and execute assigned data engineering tasks.
Required Skills & Experience
6+ years of hands-on experience in data engineering and cloud data architecture.
Strong expertise in:
Azure Data Factory (ADF) – ETL and pipelines
Azure Synapse Analytics – data lakes, warehouses, modeling, analytics
Microsoft Fabric – data integration, lakehouses, warehouses, and collaborative workflows
Proficiency in SQL / T-SQL and Azure SQL Database.
Knowledge of Azure Blob, Data Lake, and Azure SQL storage.
Experience with Hadoop, Spark, Databricks within Azure ecosystems.
Familiarity with DevOps practices, CI/CD pipelines, and automation.
Strong background in data governance, quality, and security in cloud environments.
Exposure to Power BI, Azure ML, or other BI/AI tools (preferred).
Preferred Certifications (Not Mandatory)
Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Azure Synapse Analytics
Microsoft Certified: Azure AI Engineer Associate
Microsoft Certified: Azure Solutions Architect Expert
Qualifications
Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, Business, or related field.
Location: Onsite/Hybrid (as per project requirement)
Reporting To: Project Manager
Work Schedule: Standard office hours (flexibility as per project needs)
Skills: azure, power bi, transact-sql (t-sql), data lake, adf, ai/ml, cloud architecture, rbac, olap, etl pipelines
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D365 F&O Technical Consultant – Retail, POS & Power BI
Posted today
Job Viewed
Job Description
**Kindly note that this is a full-time position based onsite in Qatar**
Responsibilities:
Develop, customize, and maintain D365 F&O solutions, focusing on Retail and POS modules.
Build and manage integrations between D365 F&O and Power Platform tools (Power Apps, Power Automate).
Design and deliver Power BI dashboards and reports for sales, inventory, and operational metrics.
Work closely with retail stakeholders and functional consultants to convert business needs into technical deliverables.
Support both real-time and batch integrations involving D365 F&O and third-party platforms.
Ensure seamless data flow and accuracy between POS, back-office, and reporting systems.
Contribute across the full software development lifecycle: design, development, testing, deployment, and support.
Maintain technical documentation, including design specs and deployment guides.
Qualifications, Experience and Skills:
Bachelor's degree in computer science, Information Systems, or related field.
Minimum 4 years of technical experience with Microsoft Dynamics 365 F&O / AX.
Deep knowledge of X+, AOT, integrations, and extension frameworks.
Hands-on experience with D365 Retail module, including POS integration and store processes.
Proficiency with Power Apps (Canvas/Model-driven), Power Automate, and Dataverse.
Strong skills in Power BI, including DAX, data modeling, and performance optimization.
Familiarity with REST APIs, OData, LCS, and Azure DevOps.
Excellent problem-solving abilities and communication skills
Job Type: Full-time
Application Question(s):
- If you are not currently in Qatar, would you be open to relocating to Doha for this full-time onsite position?
- Mention your notice period.
D365 F&O Technical Consultant – Retail, POS & Power BI
Posted 2 days ago
Job Viewed
Job Description
**Kindly note that this is a full-time position based onsite in Qatar** • Develop, customize, and maintain D365 F&O solutions, focusing on Retail and POS modules. • Build and manage integrations between D365 F&O and Power Platform tools (Power Apps, Power Automate). • Design and deliver Power BI dashboards and reports for sales, inventory, and operational metrics. • Work closely with retail stakeholders and functional consultants to convert business needs into technical deliverables. • Support both real-time and batch integrations involving D365 F&O and third-party platforms. • Ensure seamless data flow and accuracy between POS, back-office, and reporting systems. • Contribute across the full software development lifecycle: design, development, testing, deployment, and support. • Maintain technical documentation, including design specs and deployment guides.
Requirements
• Bachelor’s degree in computer science, Information Systems, or related field. • Minimum 4 years of technical experience with Microsoft Dynamics 365 F&O / AX. • Deep knowledge of X+, AOT, integrations, and extension frameworks. • Hands-on experience with D365 Retail module, including POS integration and store processes. • Proficiency with Power Apps (Canvas/Model-driven), Power Automate, and Dataverse. • Strong skills in Power BI, including DAX, data modeling, and performance optimization. • Familiarity with REST APIs, OData, LCS, and Azure DevOps.
About the company
The Blue Group is a united business enterprise which consolidates the commitment to utmost quality, unparalleled customer service and continuous drive for innovation, which will significantly contribute to corporate growth and development through functional divisions. Under the Blue Groups wing, business horizons will be expanded by introducing the following divisions: Sports, Food, Retail, Service and Fashion. Each division represents an industry where we can brandish our commitment to excellence, accrue significant revenues, while contributing to the growth of the particular industry in our own distinct way.
DATA AND REPORTING ANALYST
Posted 9 days ago
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Job Description
Overview
Responsible for processing, analyzing, and visualizing numerical data collected from stakeholders to support the execution of the client.
Role OverviewFocuses on ensuring the required data analytics for the functioning of the SMO are in place by :
- Managing processes for data validation, ensuring accuracy and integrity across reporting systems
- Enhancing visualization techniques to improve data-driven insights
- Streamlining data workflows through automation and integration, improving efficiency and reducing manual effort
- Manage system administration and provide technical support to ensure smooth system operations and adequate troubleshooting
- Ensure data accuracy, detecting inconsistencies and recommending corrective actions to improve data integrity
- Aggregate, clean, and structure numerical data from multiple sources to ensure consistency, reliability, and readiness for analysis
- Develop dynamic dashboards, charts, and reports using tools like Power BI, Tableau, or Python to present data in an actionable format
- Support data analysis of KPI tracking and numerical refinement
- Advanced proficiency in data analysis tools and programming languages
- Strong knowledge of data visualization software (Power BI, Tableau etc.)
- Ability to manage automated reporting workflows
- Strong analytical thinking and problem-solving abilities
- Attention to detail and accuracy in data handling
- Proactive approach to identifying and resolving data challenges
- Bachelors degree in Data Science, Statistics, Computer Science, or a related field
- Experience in government, cybersecurity, or strategic performance monitoring is a plus
- 2-5 years of experience in data science or data analytics
- Hands-on experience in structuring and working with numerical data
Vertical: Technology
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