Data Quality Analyst @ McGraw Hill
placeHybrid
attach_money $60,000
businessHybrid
scheduleFull Time
Posted 11 hours ago
Your Application Journey
Interview
Email Hiring Manager
******* @mheducation.com
Recommended after applying
Job Details
Overview
At McGraw Hill, we are dedicated to delivering digital learning experiences that transform education. As a Data Quality Analyst, you will help build the future of education by ensuring data integrity, accuracy, and reliability. This remote role is open to applicants authorized to work in the United States.
How can you make an impact?
You will enter, update, and manage large datasets with exceptional attention to detail. Your role includes routine validation to identify, analyze, and correct data discrepancies while collaborating across functions.
What You'll Do
- Maintain and update large datasets across multiple systems.
- Identify and correct data discrepancies via routine audits.
- Collaborate with cross-functional teams for alignment.
- Support reporting with clean, reliable data.
- Improve data workflows and document procedures.
What You Bring
- 2+ years in data quality, analytics, or operations roles.
- Advanced proficiency in Microsoft Excel and Google Sheets.
- Working knowledge of SQL and Oracle is a plus.
- Experience with data management tools, CRM or ERP systems.
- Strong analytical, communication and problem-solving skills.
Why work for us?
The work you do at McGraw Hill matters. You will contribute to building the future of education and enjoy a fulfilling role with a supportive team environment.
Key skills/competency
- Data Quality
- Data Accuracy
- Data Management
- Analytics
- Excel
- SQL
- Oracle
- Data Validation
- CRM
- ERP
How to Get Hired at McGraw Hill
🎯 Tips for Getting Hired
- Customize your resume: Highlight data quality expertise and tools.
- Research McGraw Hill: Understand their digital learning mission and values.
- Tailor your cover letter: Emphasize your analytical skills and experience.
- Practice data scenarios: Prepare for technical and situational questions.
📝 Interview Preparation Advice
Technical Preparation
circle
Review Excel functions and formulas.
circle
Practice SQL query exercises.
circle
Familiarize with Oracle data tools.
circle
Test data validation techniques.
Behavioral Questions
circle
Describe a time you solved data discrepancies.
circle
How have you collaborated cross-functionally?
circle
Explain handling tight deadlines effectively.
circle
Discuss managing multiple priorities.
Frequently Asked Questions
What qualifications does McGraw Hill seek for a Data Quality Analyst?
keyboard_arrow_down
How does the Data Quality Analyst support McGraw Hill's operations?
keyboard_arrow_down
What tools should a candidate be familiar with for the Data Quality Analyst role at McGraw Hill?
keyboard_arrow_down