Data Quality Analyst: Data Feeds & Governance SME

Restaurant Supply Chain Solutions; Louisville (KY); Hybrid; USD 70,000 - 90,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Free lunch on Wednesday

Retirement plan

Vacation

Holidays

Floating holidays

Job summary

Restaurant Supply Chain Solutions, LLC, a Yum! Brands Co-op, is seeking a Data Quality Analyst to join the Transformation team in Louisville, KY. You will monitor, validate, and improve data quality across the organization to ensure accuracy, completeness, and integrity of enterprise data.

Work with data stewards and engineers to resolve issues and implement monitoring solutions. Hybrid schedule: 3 days in the office, 2 days remote, with excellent benefits including medical, dental, vision, and

Qualifications

• Bachelor’s degree required in computer science, data analytics, data science, business administration, or relevant degree.
• Minimum of 3 years of experience as a data analyst.
• Experience with data feeds from multiple trading partners is preferred.

Responsibilities

• Monitor incoming and outgoing data feeds and data quality.
• Research data quality issues and resolve with data engineers for process improvement.
• Analyze data trends to fine-tune business rules for data quality monitoring.
• Perform ad-hoc data processing to ensure accuracy and integrity.
• Build and enhance data monitoring solutions to address failures.
• Serve as SME for distributor and supplier data feeding RSCS systems.
• Provide backup support for data governance activities when needed.

Skills

Analytical skills

Problem-solving

Communication skills

Collaboration

Education

Bachelor's degree (CS / Data Analytics / Data Science / Business Admin)

Tools

MS SQL Server

T-SQL

SSMS

PowerBI

Python

Job description

Restaurant Supply Chain Solutions, LLC, a Yum! Brands Co-op, is seeking a Data Quality Analyst to join the Transformation team in Louisville, KY. You will monitor, validate, and improve data quality across the organization to ensure accuracy, completeness, and integrity of enterprise data.

Work with data stewards and engineers to resolve issues and implement monitoring solutions. Hybrid schedule: 3 days in the office, 2 days remote, with excellent benefits including medical, dental, vision, and