Data Manager Resume
Create Free Resume
Your resume is only 30 seconds away from being done.
Charles Bloomberg
Austin, USA
charlesbloomberg@gmail.com
(621) 799-5548
in/cbloomberg
PROFESSIONAL SUMMARY
Experienced Data Manager with a proven track record of optimizing data processes and enhancing data-driven decision-making. Expert in database management, data analytics, and data governance. Adept at leading teams and implementing cutting-edge data solutions.
PROFESSIONAL Experience
Data Manager | Company A
April 2020 — Present, Austin, USA
• Spearheaded the consolidation of multiple data sources into a single, cohesive data warehouse, resulting in a 35% decrease in data retrieval time.
• Led a team of 10 data analysts to develop and implement data quality standards, reducing data errors by 25% within the first 6 months.
• Designed and implemented a machine learning model to forecast sales trends, improving forecast accuracy by 20% through utilization of Python and TensorFlow.
• Oversaw the migration of 5 legacy databases to a modern cloud-based infrastructure, enhancing scalability and reducing maintenance costs by 15%.
• Collaborated with cross-functional teams to streamline data reporting processes, cutting report generation time from 3 hours to 45 minutes using SQL and Tableau.
• Led a team of 10 data analysts to develop and implement data quality standards, reducing data errors by 25% within the first 6 months.
• Designed and implemented a machine learning model to forecast sales trends, improving forecast accuracy by 20% through utilization of Python and TensorFlow.
• Oversaw the migration of 5 legacy databases to a modern cloud-based infrastructure, enhancing scalability and reducing maintenance costs by 15%.
• Collaborated with cross-functional teams to streamline data reporting processes, cutting report generation time from 3 hours to 45 minutes using SQL and Tableau.
Senior Data Analyst | Company B
September 2016 — March 2020, Seattle, USA
• Developed and maintained automated ETL processes using Python, resulting in a 30% improvement in data pipeline efficiency.
• Managed a team of 5 data analysts to analyze and visualize complex data sets, enabling stakeholders to make data-driven decisions.
• Implemented a data governance framework that improved data integrity and compliance with industry regulations, achieving a 95% compliance rate.
• Produced detailed analytical reports and dashboards that provided actionable insights, increasing operational efficiency by 20%.
• Managed a team of 5 data analysts to analyze and visualize complex data sets, enabling stakeholders to make data-driven decisions.
• Implemented a data governance framework that improved data integrity and compliance with industry regulations, achieving a 95% compliance rate.
• Produced detailed analytical reports and dashboards that provided actionable insights, increasing operational efficiency by 20%.
Data Analyst | Company C
June 2014 — August 2016, Denver, USA
• Engineered advanced SQL queries to analyze large datasets, leading to a 15% increase in data processing speed.
• Collaborated with software development teams to design and implement data models that supported new product features.
• Provided data-driven insights that influenced business strategy and led to a 10% increase in revenue.
• Collaborated with software development teams to design and implement data models that supported new product features.
• Provided data-driven insights that influenced business strategy and led to a 10% increase in revenue.
Junior Data Analyst | Company D
January 2012 — May 2014, Chicago, USA
• Assisted in the collection and processing of datasets from various sources using SQL and Excel, improving data accuracy by 12%.
• Developed data visualizations that communicated key metrics to stakeholders, enhancing data comprehension by 22%.
• Optimized data management processes, saving 5 hours per week on data retrieval tasks.
• Developed data visualizations that communicated key metrics to stakeholders, enhancing data comprehension by 22%.
• Optimized data management processes, saving 5 hours per week on data retrieval tasks.
Education
Bachelor of Science in Data Science | University of California, Berkeley
December 2011
Expert-Level Skills
Database Management, Data Analytics, Data Governance, SQL, Python, Machine Learning, ETL Processes, Data Modeling, Cloud Infrastructure, Data Visualization, Tableau, TensorFlow, Compliance, Team Leadership, Analytical Thinking