About Me
Results-driven Data and Business Intelligence Analyst with extensive experience delivering actionable insights and driving data-informed decision-making across global organizations.
Experience
Data Analyst
Conducted comprehensive data analysis using SQL and Tableau, generating actionable insights that increased decision-making effectiveness by 25%.
Developed interactive dashboards in Tableau and Power BI, improving data accessibility and reducing decision-making time by 30% for cross-functional teams.
Created visualizations for non-technical stakeholders, translating complex datasets into clear insights, increasing data-driven decision adoption by 40%.
Performed rigorous data cleaning, preprocessing, and transformation using SQL and Python, reducing data errors by 30% and enhancing dataset reliability and quality.
Implemented data validation and quality assurance procedures in SQL and Excel, decreasing data entry errors by 25% and improving overall data integrity across reports and dashboards.
Automated reporting workflows using Power BI and Excel, reducing manual reporting effort and enabling real-time monitoring of business KPIs.
Conducted trend analysis and KPI tracking with SQL and Tableau, identifying operational and financial patterns to support strategic business decisions.
Standardized datasets and dashboards, ensuring consistent reporting formats and improving accessibility of insights across multiple departments.
Data Analyst
Conducted comprehensive data analysis using SQL and Tableau, generating actionable insights that increased decision-making effectiveness by 25%., Developed interactive dashboards in Tableau and Power BI, improving data accessibility and reducing decision-making time by 30% for cross-functional teams., Created visualizations for non-technical stakeholders, translating complex datasets into clear insights, increasing data-driven decision adoption by 40%., Performed rigorous data cleaning, preprocessing, and transformation using SQL and Python, reducing data errors by 30% and enhancing dataset reliability and quality., Implemented data validation and quality assurance procedures in SQL and Excel, decreasing data entry errors by 25% and improving overall data integrity across reports and dashboards., Automated reporting workflows using Power BI and Excel, reducing manual reporting effort and enabling real-time monitoring of business KPIs., Conducted trend analysis and KPI tracking with SQL and Tableau, identifying operational and financial patterns to support strategic business decisions., Standardized datasets and dashboards, ensuring consistent reporting formats and improving accessibility of insights across multiple departments.