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Senior Analyst with 5+ years in Power BI & SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior BI Analyst and Data Analytics professional with 5+ years of experience designing enterprise-grade business intelligence solutions across government, telecom, and tech sectors in Saudi Arabia. Currently at Zakat, Tax and Customs Authority (ZATCA), developing and maintaining Power BI reporting infrastructure on Microsoft Power BI Report Server and collaborating with Data Warehouse teams on Teradata and Oracle environments. Core expertise spans Power BI (DAX, Power Query, Row-Level Security, Report Server), SQL (MSSQL, Teradata, Oracle), Python (ETL automation, web scraping), and end-to-end BI pipeline development. IBM Certified Data Analyst. Open to Senior Data Analyst, BI Lead, and Business Intelligence Manager opportunities in KSA.
Punjab University College of Information Technology (PUCIT)
Bachelor of Science · Software Engineering
N/A – Present
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October 1, 2025 – Present
Riyadh, Riyadh Region, Saudi Arabia
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Cultural Fit Analysis
The candidate has worked across government, telecom, and tech sectors, indicating adaptability to different organizational cultures and business domains. Their experience in Saudi Arabia and Pakistan suggests exposure to diverse work environments. The breadth of skills (BI, data engineering, ML operations) and tools used (Power BI, Tableau, SQL, Python, Azure Data Factory, Git, Jira) demonstrates a willingness to learn and apply various technologies, which aligns with a dynamic, growth-oriented culture. The current role at a national government authority implies a strong sense of responsibility and adherence to compliance, which is valuable for cultural fit in structured environments.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in maintaining SLA compliance, automating workflows, and collaborating with cross-functional teams (AI engineers, Data Warehouse teams). Their ability to lead requirements-gathering sessions and resolve data inconsistencies points to good problem-solving and stakeholder management skills. The descriptions suggest a proactive approach to improving data quality and reporting accuracy.