Data Quality & QA Analyst — Elevate Data Excellence

MGM Resorts International; Las Vegas, Northern (NV, KY); Hybrid; USD 65,000 - 90,000; Full time

Benefits offered by this job

Wellness incentive programs

Hotel/food & beverage discounts

Free parking

Health & Income Protection benefits

Professional development opportunities

Job summary

MGM Resorts International is seeking a Data Quality Analyst to join the Technology Data organization in Las Vegas. The role focuses on understanding business needs, delivering data-driven solutions, and leading QA initiatives to improve testing and product quality.

Responsibilities include detailed business analysis, collaboration with cross-functional teams, data visualization reporting, QA planning, and automation framework development.

Qualifications

• Bachelor’s degree in Business Administration, Finance, CS, Engineering or related field required.
• 1+ year of experience in business analytics, BI, data delivery, QA or similar.
• Proficiency in SQL and scripting languages; experience with Python/Java is a plus.

Responsibilities

• Conduct detailed business analysis to identify needs and develop data-driven solutions.
• Lead QA initiatives and collaborate with cross-functional teams to improve testing methodologies and product quality.
• Plan, schedule, and execute QA projects to meet deadlines and quality standards.
• Develop and implement test strategies, plans, and automation frameworks.
• Perform data ingestions testing, audits, and root cause investigations.

Skills

SQL

Python

Java

Agile/Scrum

Data visualization

Education

Bachelor's degree in Business Administration, Finance, Computer Science, Engineering or related field

Tools

BI tools

Microsoft Office Suite

Job description

MGM Resorts International is seeking a Data Quality Analyst to join the Technology Data organization in Las Vegas. The role focuses on understanding business needs, delivering data-driven solutions, and leading QA initiatives to improve testing and product quality.

Responsibilities include detailed business analysis, collaboration with cross-functional teams, data visualization reporting, QA planning, and automation framework development.