Data Quality Analyst @ Wiraa
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About McGraw Hill
McGraw Hill is a renowned leader in educational publishing and digital learning solutions, dedicated to transforming education with innovative content and technology. They have a rich history of supporting learners and educators worldwide, delivering impactful, accessible, and engaging educational experiences.
About the Role
As a Data Quality Analyst at McGraw Hill, you will ensure the integrity, accuracy, and consistency of critical data that underpins business operations and decision-making processes. This remote role involves managing large datasets across multiple systems, performing regular audits, and resolving discrepancies to maintain high-quality data standards.
- Manage and update large datasets accurately.
- Conduct routine data validation and quality assurance checks.
- Collaborate with cross-functional teams to address data issues.
- Support reporting and analytics with reliable data.
- Recommend process improvements for data workflows.
Qualifications
Minimum of 2 years experience in data quality, analytics, or data operations roles. Advanced proficiency in Microsoft Excel and Google Sheets. Working knowledge of SQL and Oracle databases. Experience with data management tools, CRM, or ERP systems. Strong attention to detail, excellent communication, and problem-solving skills are required.
Benefits
- Competitive annual salary ranging from $49,500 to $65,000.
- Performance-based bonus opportunities.
- Comprehensive medical and health benefits.
- Opportunities for professional development and career growth.
- Flexible remote work environment.
- Supportive and inclusive company culture.
Equal Opportunity
McGraw Hill is an equal opportunity employer that celebrates diversity and is committed to creating an inclusive environment for all employees.
Key skills/competency
Data Quality, Data Analytics, SQL, Oracle, Excel, Google Sheets, Data Management, Auditing, Accuracy, Collaboration
How to Get Hired at Wiraa
🎯 Tips for Getting Hired
- Research McGraw Hill's culture: Study their mission, values, and recent news.
- Tailor your resume: Highlight data quality and analytics skills.
- Prepare technical examples: Showcase SQL and Excel expertise.
- Practice interview questions: Be ready to discuss data troubleshooting.