Data Quality Analyst
@ McGraw Hill

Hybrid
$60,000
Hybrid
Full Time
Posted 22 days ago

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXXX******* @mheducation.com
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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
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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

Review Excel functions and formulas.
Practice SQL query exercises.
Familiarize with Oracle data tools.
Test data validation techniques.

Behavioral Questions

Describe a time you solved data discrepancies.
How have you collaborated cross-functionally?
Explain handling tight deadlines effectively.
Discuss managing multiple priorities.

Frequently Asked Questions