21 Power Bi Developer jobs in the United Arab Emirates

Overview

Job Title: Senior Power BI Developer

Job Type: Full-time

Location: On-site, Dubai, Dubai, United Arab Emirates

Join our team as a Senior Power BI Developer and play a pivotal role in transforming complex data into powerful business insights. In this onsite position in Dubai, you will work within our Digital and IT department, collaborating with a dynamic, asynchronous team that values clear and effective written communication. As a leader in BI innovation, you will help drive data-driven decision-making across the organization.

• Design, develop, and deploy interactive Power BI dashboards, reports, and data models tailored to business needs.
• Translate multifaceted business requirements into robust BI solutions using Power BI, DAX, and Power Query.
• Collaborate with analysts and stakeholders to gather, document, and validate reporting requirements.
• Optimize performance, scalability, and usability of Power BI reports for a seamless user experience.
• Implement ETL processes and data warehousing solutions to consolidate and integrate data from diverse sources.
• Ensure data accuracy, consistency, and security across all BI deliverables.
• Mentor junior BI developers, fostering best practices and technical excellence.

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related discipline.
• Minimum of 8 years’ experience in Power BI development and business intelligence.
• Advanced proficiency with Power BI Desktop, Power BI Service, Power Query, DAX, and Data Modeling.
• Strong hands-on experience with SQL, relational databases, and data warehousing principles.
• Proven ability to integrate data from SQL Server, Excel, SharePoint, APIs, and cloud platforms.
• Exceptional analytical and problem-solving abilities with acute attention to detail.
• Excellent written communication skills, essential for thriving in our async-first culture.

• Experience leading large-scale enterprise BI projects.
• Familiarity with Azure Data Services, SSIS, SSAS, and other advanced BI tools.
• Exposure to AI, predictive analytics, and cloud-based analytics platforms such as Azure Synapse and Power BI Premium.

About Us

AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors. We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you’re passionate about technology and thrive in a fast-paced environment, we want to hear from you.

The Supply Chain Analytics Specialist will play a pivotal role in enabling data-driven decision-making across the supply chain function. This position combines strong analytical skills with technical expertise in Power BI and data modelling to deliver actionable insights that enhance performance, visibility, and efficiency across procurement, logistics, and inventory management. The ideal candidate should have a solid background in supply chain operations, strong proficiency in data analytics and visualization, and the ability to translate complex data into strategic insights that drive business results.

1. Data Analytics & Reporting
   • Collect, clean, and analyse data from multiple internal and external sources (ERP, MRP, procurement systems, logistics platforms, etc.).
   • Design and develop interactive Power BI dashboards to monitor key KPIs such as supplier performance, lead times, spend analytics, and inventory turnover.
   • Build and automate data models and reporting tools to improve the accuracy and timeliness of supply chain insights.
   • Perform trend, variance, and root-cause analyses to identify cost optimization and process improvement opportunities.
2. Performance Measurement & Insights
   • Track and evaluate end-to-end supply chain performance metrics (cost, quality, delivery, risk).
   • Develop data models for demand forecasting, supplier reliability assessment, and inventory optimization.
   • Partner with category managers and procurement teams to support strategic sourcing and supplier evaluation through analytical insights.
3. Process Optimization
   • Use data analytics to identify bottlenecks and inefficiencies across supply chain operations.
   • Collaborate with IT, Procurement, and Operations to enhance data integrity, process automation, and system integration.
   • Support digital transformation initiatives, including ERP integration with Power BI and other analytical tools.
4. Reporting & Governance
   • Develop executive-level dashboards and reports for senior leadership to provide clear visibility into operational trends and business performance.
   • Establish and maintain data governance standards across the supply chain function.
   • Prepare and present monthly and quarterly performance reviews to the Supply Chain leadership team.

• 6–8 years of experience in Supply Chain Analytics, Data Analysis, or Business Intelligence roles.
• Proven hands-on experience in Power BI, DAX, Power Query, and data modelling.
• Strong background in supply chain processes (procure to pay cycle, procurement, logistics, inventory management, planning).
• Experience with ERP systems (e.g., SAP, Oracle, Microsoft Dynamics) and database querying (SQL) preferred.
• Advanced proficiency in Power BI, Excel, and data visualization techniques.
• Strong knowledge of data modelling, ETL processes, and data governance principles.
• Familiarity with Python, R, or SQL for advanced analytics is advantageous.
• Strong analytical, problem-solving, and critical-thinking abilities.
• Excellent communication and storytelling skills to present data insights effectively to non-technical stakeholders.
• High attention to detail with the ability to manage multiple priorities in a fast-paced environment.

• Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
• Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
• Competitive compensation & benefits, ESOPs and international assignments.
• Supportive environment with healthy work-life balance and a focus on employee well-being.
• Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.

If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.

We are seeking a skilled and detail-oriented Power BI Developer to join our dynamic team. The ideal candidate will have hands-on experience in developing, managing, and deploying interactive reports and dashboards using Power BI. This role requires a strong understanding of data modeling, DAX, and SQL, as well as the ability to work closely with business stakeholders to translate data needs into technical solutions.

• Develop and Maintain Dashboards: Design, create, and manage Power BI dashboards and reports that deliver actionable insights for business users.
• Data Modeling: Create and optimize data models to ensure efficient querying and data visualization.
• DAX Functions: Develop and implement custom measures and calculations using DAX to enhance reporting capabilities.
• Data Integration: Connect to various data sources (SQL Server, Excel, APIs, cloud data platforms, etc.) and ensure seamless data extraction and transformation.
• Collaborate with Stakeholders: Work closely with business teams to understand reporting needs and deliver user-friendly solutions.
• Performance Optimization: Monitor and enhance the performance of Power BI reports and dashboards.
• Security Implementation: Set up row-level security (RLS) and other data security measures to ensure the right people have access to the right data.
• Documentation: Maintain clear documentation of reports, data models, and processes for future reference and team collaboration.

Technical Skills:

• Proficiency in Power BI (Desktop, Service, and Mobile).
• Strong knowledge of DAX and Power Query (M language).
• Experience in SQL and database management systems (e.g., SQL Server, MySQL).
• Familiarity with data integration tools and ETL processes.
• Knowledge of scripting languages like Python (optional but preferred).

Analytical & Problem-Solving Skills:

• Strong analytical mindset and problem-solving abilities.
• Capability to transform business requirements into technical solutions.

Other Requirements:

• 3-6 years of hands-on experience with Power BI development.
• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Strong communication skills to interact with stakeholders effectively.
• Attention to detail and a commitment to delivering high-quality work.

Preferred Qualifications

• Experience with Azure Data Services, such as Azure Data Factory or Azure Synapse.
• Familiarity with other BI tools like Tableau or QlikView.
• Understanding of Agile methodologies for project delivery.
• Certifications in Power BI or related data technologies.

Overview

We are a global technology consultancy firm with offices in the Middle East, Asia, Europe and USA. We deliver business benefits through innovation. We leverage cutting-edge technology led solutions delivered by a team of skilled professionals, from sustainable software development to cloud services and operational excellence strategy. We have extensive expertise in Capital Markets and in particular Trading and Risk Management functions.

We are currently looking for a Power BI Developer with ideally trading related quant experience to join our team in Dubai.

• Collaborate with business stakeholders to gather requirements and translate them into technical solutions.
• Design, develop, and deploy Power Apps (Canvas and Model-Driven Apps) tailored to business needs.
• Build and configure automated workflows using Power Automate to streamline processes.
• Develop interactive dashboards and reports using Power BI for data visualization and decision-making.
• Integrate Power Platform solutions with Microsoft 365, Dynamics 365, Azure services, and third-party systems.
• Ensure solutions are scalable, secure, and aligned with governance policies.
• Provide training, support, and documentation to end-users and business teams.
• Stay updated on new Power Platform features, best practices, and industry trends.

• Proven experience working with Microsoft Power Platform (Power Apps, Power Automate, Power BI).
• Strong understanding of Dataverse, SharePoint, SQL, and Azure integration.
• ETL using Power BI Dataflows / Power Automate Dataflows / DAX / Power Query (M).
• Application Development / Visual Studio Code / C# / .Net / SPFx / React / HTML / CSS / jQuery / JavaScript.
• Power BI Desktop / Power BI Report Server / Power BI Service / Power BI Paginated Reports.

Effective Business Decisions Using Data Analysis

ID 257

Course: Effective Business Decisions Using Data Analysis

This interactive, applications-driven 5-day course will highlight the added value that data analytics can offer a professional as a decision support tool in management decision making. It will show the use of data analytics to support strategic initiatives; to inform on policy information; and to direct operational decision making. The course will emphasize applications of data analytics in management practice; focus on the valid interpretation of data analytics findings; and create a clearer understanding of how to integrate quantitative reasoning into management decision making. Exposure to the discipline of data analytics will ultimately promote greater confidence in the use of evidence-based information to support management decision making.

• Discussions on applications of data analytics in management
• The importance of data in data analytics
• Applying data analytical methods through worked examples
• Focusing on management interpretation of statistical evidence
• How to integrate statistical thinking into the work domain

• Explain the scope and structure of data analytics.
• Apply a cross-section of useful data analytics.
• Interpret meaningfully and critically assess statistical evidence.
• Identify relevant applications of data analytics in practice.

• Professionals in management support roles
• Analysts who typically encounter data/analytical information regularly in their work environment
• Those who seek to derive greater decision-making value from data analytics

This course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. The daily workshops will be highly interactive and participative. This involves regular discussion of applications as well as hands-on exposure to data analytics techniques using Microsoft Excel. Delegates are strongly encouraged to bring and analyse data from their own work domain. This adds greater relevancy to the content. Emphasis is also placed on the valid interpretation of statistical evidence in a management context.

• Day One: Setting the Statistical Scene in Management
  • Introduction; The quantitative landscape in management
  • Thinking statistically about applications in management (identifying KPIs)
  • The integrative elements of data analytics
  • Data: The raw material of data analytics (types, quality, and data preparation)
  • Exploratory data analysis using Excel (pivot tables)
  • Using summary tables and visual displays to profile sample data
• Day Two: Evidence-based Observational Decision Making
  • Numeric descriptors to profile numeric sample data
  • Central and non-central location measures
  • Quantifying dispersion in sample data
  • Examine the distribution of numeric measures (skewness and bimodal)
  • Exploring relationships between numeric descriptors
  • Breakdown analysis of numeric measures
• Day Three: Statistical Decision Making – Drawing Inferences from Sample Data
  • The foundations of statistical inference
  • Quantifying uncertainty in data – the normal probability distribution
  • The importance of sampling in inferential analysis
  • Sampling methods (random-based sampling techniques)
  • Understanding the sampling distribution concept
  • Confidence interval estimation
• Day Four: Statistical Decision Making – Drawing Inferences from Hypotheses Testing
  • The rationale of hypotheses testing
  • The hypothesis testing process and types of errors
  • Single population tests (tests for a single mean)
  • Two independent population tests of means
  • Matched pairs test scenarios
  • Comparing means across multiple populations
• Day Five: Predictive Decision Making - Statistical Modeling and Data Mining
  • Exploiting statistical relationships to build prediction-based models
  • Model building using regression analysis
  • Model building process – the rationale and evaluation of regression models
  • Data mining overview – its evolution
  • Descriptive data mining – applications in management
  • Predictive (goal-directed) data mining – management applications

Overview

Job Title: Business Data Analyst (Banking) - Digital Transformation

Job Type: Full-Time Contract (1 year, renewable)

Location: On-site, Dubai, Dubai, United Arab Emirates

Job Summary:

Join our team as a Business Data Analyst at the forefront of digital transformation within a leading UAE bank. In this pivotal role, you will bridge business stakeholders and technology teams, applying deep analytical expertise to drive insights, optimize processes, and elevate customer journeys across key digital banking initiatives. Embrace an asynchronous work culture that values exceptional written communication and proactive problem-solving.

• Elicit, analyze, and document business requirements, user stories, and process flows for digital projects.
• Act as a key liaison between business units and technical teams to ensure clear understanding of project objectives.
• Conduct gap analysis and impact assessments for new features and system changes within core banking functions.
• Participate in Agile/Scrum ceremonies, including sprint planning, backlog grooming, and daily stand-ups.
• Design and execute test scenarios, supporting user acceptance testing (UAT) and solution validation.
• Write complex SQL queries to extract and analyze large datasets, generating actionable insights and KPI reports with Power BI.
• Translate analytical findings into clear, data-driven recommendations and presentations for diverse stakeholders.

• Bachelor’s degree in Computer Science, Engineering, Finance, Business, or a quantitative discipline.
• 5-9 years’ experience as a Business Analyst, with a strong background in Banking, Financial Services, or FinTech.
• High proficiency in SQL and PL/SQL, with hands-on experience in Power BI for data visualization.
• Proven experience working with core-banking systems and exposure to digital transformation projects.
• Solid understanding of Agile methodologies (Scrum, Kanban) and expertise with JIRA.
• Exceptional written communication skills, adept at working in asynchronous, collaborative environments.
• Strong analytical and critical thinking abilities with excellent stakeholder management.

• Relevant professional certifications (CBAP, PMI-PBA, Agile Scrum, Data Analytics).
• Experience with data modeling, Python or R for advanced analytics, and systems like Flexcube or OFSAA.
• Expertise in digital banking products, customer journey mapping, and process optimization.

Become part of our team and contribute to high-impact initiatives, working on projects that set industry standards and drive meaningful change. We foster an inclusive, high-performing culture offering career development opportunities, comprehensive benefits, and a collaborative environment to help you thrive.

Fluid Codes is the APEX Channel Partner of ANSYS part of Synopsys, authorized with exclusive rights to distribute and provide support for ANSYS Engineering Simulation Solutions in the Middle East and North Africa. (fluidcodes.com).

Ansys is the global leader in engineering simulation, helping the world’s most innovative companies deliver radically better products to their customers. By offering the best and broadest portfolio of engineering simulation software, Ansys helps companies solve the most complex design challenges and engineer products limited only by imagination.

JOB SUMMARY:

We are seeking Business Intelligence Analyst to execute the implementation of BI dashboards, process analytics, and reporting workflows . The ideal candidate will collaborate closely with business stakeholders to model processes, integrate data sources, and deliver actionable insights for Sales, Marketing, Technical, and Operations teams.

Key Responsibilities

• Data Integration: Connect and maintain data from multiple sources (Salesforce, HubSpot, Zoho, Google Sheets) into a unified reporting system.
• Build and Manage BI Solutions: Develop interactive dashboards and reports using Power BI, Salesforce or equivalent tools, ensuring clear visualization of key business metrics.
• Process Analytics: Analyze business workflows, define KPIs, and provide actionable insights to improve efficiency and automation opportunities.
• Performance Monitoring: Deliver real-time analytics for Sales, Marketing, and technical teams, including trend analysis and forecasting.
• Stakeholder Collaboration: Work closely with department heads to capture requirements, deliver insights, and train teams on BI tools for self-service reporting.

Qualifications & Skills

• Education: Bachelor’s degree in Computer Science, Information Systems, Business, Data Analytics, or related field.
• Experience: 3+ years in BI development, process analytics, or similar roles.
• Technical Skills:
  • Proficiency in Power BI (or Tableau/Qlik), DAX , and data modelling.
  • Strong experience with ETL processes, data preparation, and transformation for analytics.
  • Solid understanding of SQL and relational databases for data extraction and manipulation.
  • Familiarity with Salesforce, HubSpot, Zoho Projects, and other business systems for data integration.
• Soft Skills: Strong analytical thinking, problem-solving, and stakeholder communication skills.

Founded in 1997, Fluid Codes is an Ansys Apex Channel Partner serving the needs of the engineering community in the Middle East & Africa.

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