Data Coordinator Ii information
$14.42 - $16.91
6% of jobs
$16.91 - $19.41
11% of jobs
$20.65 is the 25th percentile. Wages below this are outliers.
$19.41 - $21.90
15% of jobs
$21.90 - $24.39
11% of jobs
The median wage is $25.54 / hr.
$24.39 - $26.88
14% of jobs
$26.88 - $29.37
16% of jobs
$29.82 is the 75th percentile. Wages above this are outliers.
$29.37 - $31.86
11% of jobs
$31.86 - $34.35
6% of jobs
$34.35 - $36.84
4% of jobs
$36.84 - $39.34
3% of jobs
$39.34 - $41.83
2% of jobs
A Data Coordinator II is responsible for collecting, organizing, and managing data within an organization, typically working with large datasets and ensuring data accuracy and integrity. They may oversee data entry processes, maintain databases, generate reports, and support data analysis projects. This role often requires attention to detail, strong organizational skills, and proficiency with database and spreadsheet software. Additionally, a Data Coordinator II may help to develop data management procedures and train other staff members on best practices.
To thrive as a Data Coordinator II, you generally need strong analytical skills, attention to detail, and a background in data management or a related field, often supported by a bachelor’s degree. Familiarity with database systems, data entry software such as Microsoft Excel or Access, and sometimes experience with data visualization tools or SQL is typical. Excellent organizational, communication, and problem-solving skills help you manage large datasets and collaborate with various teams effectively. These competencies are crucial to ensure data accuracy, support informed decision-making, and maintain smooth data workflows within the organization.
A Data Coordinator II often encounters challenges such as managing large volumes of complex data, ensuring data accuracy, and maintaining consistency across multiple databases. Effective organization, attention to detail, and proficiency with data management tools are crucial for overcoming these obstacles. Regular communication with cross-functional teams also helps in clarifying data requirements and resolving discrepancies quickly. Developing strong problem-solving skills and staying updated with best practices in data governance can further enhance effectiveness in this role.
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