Data Quality Analyst - Hybrid (3 days in-office, 2 remote)

Restaurant Supply Chain Solutions, LLC - A Yum! Brands Co-op; Louisville (KY); Hybrid; USD 65,000 - 90,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Free lunch on Wednesday

Retirement

Vacation

Holidays

Floating Holidays

Job summary

Restaurant Supply Chain Solutions, LLC - a Yum! Brands Co-op, seeks a Data Quality Analyst to monitor, validate, and improve data quality across the organization from Louisville, KY.

The role supports data feeds, resolves data issues, and ensures accuracy and integrity of enterprise data while driving KPI improvements. The candidate will work with data stewards and engineers to enhance quality processes, analyze trends, and fine-tune business rules.

Qualifications

• Bachelor's degree in computer science, data analytics, data science, business administration or a relevant degree.
• Minimum of 3 years of experience as a data analyst.
• Technical skills include MS SQL Server, T-SQL, SSMS, PowerBI and Python.

Responsibilities

• Monitor incoming and outgoing data feeds and data quality.
• Research data quality issues and resolve them with data engineers.
• Analyze data and fine-tune business rules for data quality monitoring.
• Ad-hoc processing of jobs to ensure data accuracy.
• Research and resolve data issues with trading partners.
• Build and enhance data monitoring solutions to prevent failures.
• Serve as SME for distributor and supplier data feeding RSCS systems.

Skills

Analytical thinking

Communication skills

Collaboration

Education

Bachelor's degree in computer science / data analytics / data science / business administration

Tools

MS SQL Server

T-SQL

SSMS

PowerBI

Python

Microsoft Office

Job description

Restaurant Supply Chain Solutions, LLC - a Yum! Brands Co-op, seeks a Data Quality Analyst to monitor, validate, and improve data quality across the organization from Louisville, KY.

The role supports data feeds, resolves data issues, and ensures accuracy and integrity of enterprise data while driving KPI improvements. The candidate will work with data stewards and engineers to enhance quality processes, analyze trends, and fine-tune business rules.