SQL Data Analyst Resume
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Charles Bloomberg
San Francisco, USA
charlesbloomberg@gmail.com
(621) 799-5548
in/cbloomberg
PROFESSIONAL SUMMARY
Experienced SQL Data Analyst with a proven track record of leveraging data to drive business decisions and optimize processes. Adept at complex SQL query creation, data visualization, and driving operational efficiencies.
PROFESSIONAL Experience
SQL Data Analyst | Company A
January 2022 — Present, San Francisco, USA
• Designed and optimized over 150+ complex SQL queries, reducing data retrieval times by 30% across multiple projects using advanced indexing techniques.
• Conducted data-driven analysis, contributing to a 25% increase in user engagement by identifying and implementing target areas for process improvement.
• Collaborated with cross-functional teams to develop Power BI dashboards, enhancing data visualization and reporting capabilities for stakeholders across 10+ departments.
• Created automated ETL processes, reducing manual data processing time by 40%, leveraging tools such as SSIS and Python scripts.
• Identified discrepancies in large datasets, ensuring data integrity and accuracy, and resulting in a 15% reduction in data errors.
• Conducted data-driven analysis, contributing to a 25% increase in user engagement by identifying and implementing target areas for process improvement.
• Collaborated with cross-functional teams to develop Power BI dashboards, enhancing data visualization and reporting capabilities for stakeholders across 10+ departments.
• Created automated ETL processes, reducing manual data processing time by 40%, leveraging tools such as SSIS and Python scripts.
• Identified discrepancies in large datasets, ensuring data integrity and accuracy, and resulting in a 15% reduction in data errors.
Data Analyst | Company B
March 2018 — December 2021, Redmond, USA
• Implemented SQL queries to extract and analyze data, with a focus on identifying trends that led to a 20% reduction in operational costs.
• Developed Tableau dashboards to support data-driven decision-making processes, improving departmental efficiencies by 35%.
• Spearheaded a data migration project, optimizing data flows and improving data storage solutions using Azure SQL Database, which decreased query times by 25%.
• Engaged in regression analysis and predictive modeling to forecast key business metrics, leading to a 10% increase in forecasting accuracy.
• Developed Tableau dashboards to support data-driven decision-making processes, improving departmental efficiencies by 35%.
• Spearheaded a data migration project, optimizing data flows and improving data storage solutions using Azure SQL Database, which decreased query times by 25%.
• Engaged in regression analysis and predictive modeling to forecast key business metrics, leading to a 10% increase in forecasting accuracy.
Junior Data Analyst | Company C
February 2016 — February 2018, Austin, USA
• Assisted in the development and maintenance of SQL databases to support various business functions, ensuring data reliability and accessibility.
• Generated detailed SQL reports to track KPIs, enabling stakeholders to make informed business decisions and enhancing operational transparency.
• Conducted routine data quality checks, identifying and rectifying data inconsistencies, which improved data accuracy by 20%.
• Generated detailed SQL reports to track KPIs, enabling stakeholders to make informed business decisions and enhancing operational transparency.
• Conducted routine data quality checks, identifying and rectifying data inconsistencies, which improved data accuracy by 20%.
Data Analyst Intern | Company D
June 2015 — January 2016, Chicago, USA
• Supported senior analysts in the development of SQL queries to retrieve data for analysis, enhancing overall project efficiency.
• Collected, cleaned, and analyzed data from various sources to support business initiatives, which resulted in actionable insights that improved processes by 10%.
• Participated in the creation of data visualization reports using Excel, aiding in the communication of analytical findings to non-technical stakeholders.
• Collected, cleaned, and analyzed data from various sources to support business initiatives, which resulted in actionable insights that improved processes by 10%.
• Participated in the creation of data visualization reports using Excel, aiding in the communication of analytical findings to non-technical stakeholders.
Education
Bachelor of Science in Data Science | University of California, Berkeley
May 2015
Expert-Level Skills
SQL, Power BI, Tableau, SSIS, Data Visualization, Data Analysis, ETL, Python, Data Quality Assurance, Predictive Modeling, Indexing Techniques, Azure SQL, Regression Analysis, Cross-functional Collaboration, Problem Solving, Communication
