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Data Analyst with 5+ years in Business Intelligence, Data Warehousing & Analytics
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Assessing your cultural and operational fit
Senior Data Analyst with 4+ years of experience transforming complex data into executive decision intelligence across manufacturing, construction, and retail industries. Specialized in Business Intelligence architecture, Data Warehousing, Power BI analytics, and SQL Server ecosystems. Proven ability to design scalable BI solutions, optimize enterprise reporting performance by 40%, improve data quality by 25%, and enable proactive management across 30+ operational projects. Strong business-oriented mindset combining analytics, stakeholder collaboration, and performance-driven insights.
Tanta University
Bachelor's Degree · Educational Technology
August 1, 2015 – June 30, 2019
Bertiesa Paper Industries
Senior Data Analyst
September 1, 2024 – Present
India
Nogales Shoe Manufacturing
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Yertesa Construction
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Merte Construction
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Workforce Analytics Platform
April 1, 2020 – Present
Integrated HR datasets via SSIS pipelines reducing data errors by 25%.
Operational Forecasting Model
April 1, 2020 – Present
Developed Python-based predictive models reducing project delays.
Sales Performance Intelligence Dashboard
April 1, 2020 – Present
Built executive Power BI dashboards improving operational efficiency by 15%.
Cultural Fit Analysis
The candidate demonstrates strong cultural fit through diverse industry experience (manufacturing, construction, retail) and a consistent focus on stakeholder collaboration and business value delivery. Their proactive approach to professional development (self-learning, practical training) suggests a growth mindset, and their quantifiable achievements align with a results-driven organizational culture.
Soft Skills & Operational Fit
The candidate exhibits strong soft skills including Cross-Functional Collaboration, Requirements Analysis, Decision Support, and Process Improvement. Their professional experience consistently highlights a business-oriented mindset focused on improving operational efficiency, automating processes, and providing data-driven insights for executive decision-making, indicating a high operational fit for a data-centric role.