Results-driven Business Intelligence Analyst with 1+ year of experience transforming complex datasets into actionable insights. Proficient in Power BI, Tableau, Python, and Excel, with a strong foundation in statistical …
Results-driven Business Intelligence Analyst with 1+ year of experience transforming complex datasets into actionable insights. Proficient in Power BI, Tableau, Python, and Excel, with a strong foundation in statistical analysis and data modeling. Adept at designing interactive dashboards, automating reporting workflows, and communicating data stories to cross-functional stakeholders to drive strategic decisions.
<p>Developed and maintained interactive Power BI dashboards tracking retail performance KPIs across multiple product categories, reducing manual reporting time by 40%.<br>
Wrote optimized SQL queries and DAX measures to extract, transform, and aggregate large retail datasets, enabling real-time insights for business stakeholders.<br>
Automated recurring Excel and Python-based reports using Pandas and OpenPyXL, saving 8+ hours per week of manual data processing effort.<br>
Collaborated with cross-functional teams to define KPIs, translate business requirements into analytical models, and deliver data-driven recommendations.<br>
Designed Tableau visualizations to support client-facing presentations, identifying market trends and growth opportunities across retail segments.<br>
Performed data validation and quality checks on incoming datasets, ensuring 95%+ data accuracy for downstream reporting pipelines.<br>
Built and maintained data models in Power BI using star-schema design principles for efficient querying and faster dashboard performance.</p>
Developed and maintained interactive Power BI dashboards tracking retail performance KPIs across multiple product categories, reducing manual reporting time by 40%., Wrote optimized SQL queries and DAX measures to extract, transform, and aggregate large retail datasets, enabling real-time insights for business stakeholders., Automated recurring Excel and Python-based reports using Pandas and OpenPyXL, saving 8+ hours per week of manual data processing effort., Collaborated with cross-functional teams to define KPIs, translate business requirements into analytical models, and deliver data-driven recommendations., Designed Tableau visualizations to support client-facing presentations, identifying market trends and growth opportunities across retail segments., Performed data validation and quality checks on incoming datasets, ensuring 95%+ data accuracy for downstream reporting pipelines., Built and maintained data models in Power BI using star-schema design principles for efficient querying and faster dashboard performance.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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