Role Overview
We are seeking a Power BI Analyst (Emirati National) to support the Data & AI Platform by developing secure, scalable reporting solutions. The role involves building Power BI dashboards, supporting Blazor-based reporting applications, and assisting with ETL processes to enable data-driven decision-making within a highly governed and secure environment.
This role is ideal for candidates passionate about data analytics, national digital transformation, and AI-enabled reporting.
Key Responsibilities
Power BI & Analytics
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Design and develop interactive Power BI dashboards and reports aligned with business functions (Finance, Operations, Procurement, HR)
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Create data models, DAX measures, and KPIs to support strategic decision-making
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Enable self-service analytics while adhering to security and governance standards
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Assist in embedding, performance tuning, and UI enhancements for enterprise reporting solutions
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Troubleshoot reporting issues and ensure seamless user experience
ETL & Data Platform Support
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Assist in building and maintaining ETL/ELT pipelines
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Work with structured and unstructured data within the enterprise data platform (e.g., Microsoft Fabric/Azure)
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Ensure data quality, validation, and consistency across systems
Data Governance & Security
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Comply with company data governance, security, and confidentiality standards
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Support implementation of data access controls, masking, and reporting security (RLS)
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Maintain proper documentation and audit trails for data and reporting assets
Stakeholder Collaboration
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Engage with business stakeholders to gather requirements and translate into dashboards
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Support UAT sessions, feedback incorporation, and report enhancements
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Provide guidance to users on dashboard usage and insights interpretation
Required Qualifications
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UAE National (Emirati) – Mandatory
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Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field
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3–5 years of experience in Power BI / Data Analytics / Reporting
Technical Skills
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Strong expertise in Power BI (Desktop, Service, DAX, Data Modelling)
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Proficiency in SQL and relational databases
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Experience with ETL tools (Informatica IICS, Azure Data Factory, SSIS, etc.)
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Basic understanding of Blazor / .NET applications (preferred)
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Knowledge of data warehousing and data lake concepts
Preferred Skills
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Proven experience in data lake implementation using Oracle (e.g., Oracle Cloud/ADW/OCI) or similar platforms (Azure Data Lake, AWS S3, etc.)
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Strong understanding of data architecture, data modelling, and large-scale data processing
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Experience working in investment or financial services domain
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Ability to design and optimize end-to-end data pipelines and data platforms
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Good stakeholder management and ability to translate business requirements into technical solutions
Soft Skills
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Strong communication and stakeholder engagement skills
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High attention to detail and data accuracy
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Ability to work in secure and structured environments
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Eagerness to learn and contribute to Data & AI initiatives