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.
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.
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.
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