Arkansas Center for Data Sciences ยท 6 hours ago
Data Quality Analyst
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Non-profit Organizations
No H1B
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Responsibilities
Conduct regular data quality assessments to identify discrepancies, inconsistencies, and inaccuracies in datasets.
Detect, investigate, and resolve data quality issues, and develop solutions to prevent recurrence.
Implement data cleaning processes to ensure data is accurate, complete, and up-to-date.
Develop and recommend best practices and processes for data management and quality control.
Work with the data quality team, programmers, and business leaders to understand data requirements and ensure data quality aligns with business needs.
Create and maintain standardized documentation of data quality issues, resolutions, processes, and best practices.
Generate and present data quality reports to management and other stakeholders.
Qualification
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Required
Ability to work in the United States without a current or future need for sponsorship
Ability to work remotely
Access to high-speed internet
Equipment needed - Computer and monitors
Superior analytical skills with the ability to identify trends, patterns, and anomalies in data
Strong problem-solving skills with a proactive approach to resolving data quality issues
High level of proficiency in Excel
Excellent attention to detail with a focus on accuracy and completeness
Exceptional written and verbal communication skills with the ability to present complex subject matter clearly and concisely to all team members and stakeholders
Ability to work effectively with cross-functional teams and manage stakeholder expectations
Willingness to learn and adapt to changing priorities and fast-paced environment
Detail-orientated with strong organization
Preferred
Experience with data analysis and visualization tools (Power BI)
Benefits
Health, dental, and vision insurance 50% of Employee insurance is paid
Paid time off and holidays
Professional development opportunities
Fully Remote
Cell phone/internet Stipend
Company
Arkansas Center for Data Sciences
Arkansas Center for Data Sciences is a public-private partnership.
Funding
Current Stage
Early StageCompany data provided by crunchbase