What qualifications does McGraw Hill seek for a Data Quality Analyst?

McGraw Hill requires at least 2 years of experience in data quality or analytics roles, with proficiency in Excel, Google Sheets, and preferably SQL and Oracle. The role emphasizes precision and cross-team collaboration.

How does the Data Quality Analyst support McGraw Hill's operations?

The analyst ensures data integrity and accuracy by managing large datasets and performing routine validations, thereby supporting effective reporting and decision-making.

What tools should a candidate be familiar with for the Data Quality Analyst role at McGraw Hill?

Candidates should be proficient in Microsoft Excel, Google Sheets, and have a working knowledge of SQL and Oracle, along with experience in CRM or ERP systems.

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This job post expired on November 8, 2025

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Data Quality Analyst

McGraw Hill

HybridHybrid

Original Job Summary

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

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.

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