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Jonathan Clark
Data Coordinator
Summary
Experienced Data Coordinator with a proven track record of data management, data analysis, and data governance. Demonstrated expertise in data validation, data quality, and data compliance. Skilled in data profiling, data analysis tools (SQL, Python, SAS), and data management systems (databases, data warehouses). Strong understanding of data governance policies and procedures. Proven ability to collaborate with business stakeholders and IT teams to ensure data integrity and accessibility.
Education
Bachelor’s in Data Science or a related field
January 2017
Skills
- Data Validation
- Data Management
- Data Collection
- Database Management
- Data Analysis
- Data Visualization
Work Experience
Data Coordinator
- Utilized data profiling and analysis tools (e.g., SQL, Python, SAS) to identify data trends, anomalies, and correlations.
- Managed data storage and retrieval systems (e.g., databases, data warehouses) to ensure data accessibility and performance.
- Collaborated with IT teams to develop and implement data integration and migration plans.
- Conducted data audits and assessments to identify and mitigate data quality issues.
Data Coordinator
- Processed and validated large datasets (e.g., 10+ million records) for data integrity and consistency.
- Established and maintained data dictionaries and metadata repositories to ensure data quality and standardization.
- Collaborated with business stakeholders to gather data requirements and translate them into technical specifications.
- Developed and implemented data governance policies and procedures to ensure data security and compliance.
Accomplishments
- Implemented a centralized data management system, reducing data storage costs by 20% and improving data accessibility by 35%
- Developed and executed a data governance framework, ensuring compliance with industry regulations and strengthening data security
- Spearheaded a data integration project, consolidating multiple data sources and improving data visibility by 75%
- Led the development of a data dictionary and metadata management system, enhancing data understanding and reducing data inconsistencies by 15%
- Established and managed data quality metrics, monitoring data completeness, accuracy, and timeliness to ensure data integrity
Awards
- Data Management Excellence Award for outstanding contributions to data coordination and standardization
- Recognized by the Data Governance Council for exceptional data quality and compliance initiatives
- Awarded the Data Analytics Excellence Award for developing innovative datadriven solutions
- Recognized as a Top Data Coordinator by the industry association for outstanding contributions to the field
Certificates
- Certified Data Coordinator (CDC)
- Certified Data Management Professional (CDMP)
- Tableau Certified Associate
- Power BI Certified Analyst
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How To Write Resume For Data Coordinator
- Highlight your skills in data validation, data quality, and data compliance.
- Quantify your accomplishments with specific metrics and results.
- Demonstrate your experience in data profiling, data analysis tools, and data management systems.
- Showcase your understanding of data governance policies and procedures.
Essential Experience Highlights for a Strong Data Coordinator Resume
- Processed and validated large datasets for data integrity and consistency.
- Established and maintained data dictionaries and metadata repositories to ensure data quality and standardization.
- Collaborated with business stakeholders to gather data requirements and translate them into technical specifications.
- Developed and implemented data governance policies and procedures to ensure data security and compliance.
- Utilized data profiling and analysis tools to identify data trends, anomalies, and correlations.
- Managed data storage and retrieval systems to ensure data accessibility and performance.
- Conducted data audits and assessments to identify and mitigate data quality issues.
Frequently Asked Questions (FAQ’s) For Data Coordinator
What are the primary responsibilities of a Data Coordinator?
Data Coordinators are responsible for managing, processing, and validating large datasets to ensure data integrity and consistency. They also establish and maintain data dictionaries and metadata repositories, collaborate with business stakeholders to gather data requirements, and develop and implement data governance policies and procedures.
What skills are required to be a successful Data Coordinator?
Successful Data Coordinators typically have a strong understanding of data management principles, data validation techniques, data quality metrics, and data governance best practices. They are also proficient in data profiling and analysis tools, such as SQL, Python, and SAS, and have experience in managing data storage and retrieval systems, such as databases and data warehouses.
What industries employ Data Coordinators?
Data Coordinators are employed in a variety of industries, including healthcare, finance, retail, and technology. They play a critical role in ensuring the accuracy and integrity of data used for decision-making, research, and analysis.
What is the career outlook for Data Coordinators?
The job outlook for Data Coordinators is positive, as the demand for data-driven decision-making continues to grow. Data Coordinators with strong technical skills and experience in data governance are in particularly high demand.
What are the salary expectations for Data Coordinators?
The salary expectations for Data Coordinators vary depending on their experience, skills, and industry. According to Indeed, the average salary for Data Coordinators in the United States is around $65,000 per year.
What are the educational requirements for Data Coordinators?
Data Coordinators typically hold a bachelor’s degree in data science, computer science, or a related field. Some employers may also require a master’s degree in data science or a related field.
What certifications are beneficial for Data Coordinators?
Data Coordinators can enhance their career prospects by obtaining certifications in data management, data quality, and data governance. Some popular certifications include the Certified Data Management Professional (CDMP) from the Data Management Association (DAMA) and the Certified Information Governance Professional (CIGP) from the Information Governance Initiative.
What are the key trends in data coordination?
Key trends in data coordination include the adoption of data virtualization, data governance automation, and the use of artificial intelligence (AI) and machine learning (ML) to improve data quality and data integration.