Data Quality Analyst — Hybrid (SQL, PowerBI, Python)

Restaurant Supply Chain Solutions; Louisville, Northern (KY, KY); Hybrid; USD 60,000 - 90,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

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.

This role focuses on monitoring, validating, and improving data quality across the organization, managing data feeds, and ensuring data accuracy and integrity enterprise-wide. Collaborate with data stewards and engineers to resolve issues and refine business rules.

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.
• Technical skills required: MS SQL Server, T-SQL, SSMS, PowerBI, and Python.
• Prefer DevOps experience and data governance experience.

Responsibilities

• Monitor data feeds and data quality across the organization.
• Research data quality issues and work with data engineers to resolve them.
• Analyze data and identify trends to fine-tune data quality monitoring rules.
• Ad-hoc processing to ensure data accuracy and integrity.
• Provide corrective action guidance to trading partners and follow through to resolution.
• Build and enhance data monitoring solutions addressing common failure points.
• Serve as SME for distributor and supplier data feeding RSCS systems.
• Provide backup support for data governance activities when needed.

Skills

Data analysis

Analytical thinking

Communication skills

Team collaboration

Problem solving

Education

Bachelor's degree

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.

This role focuses on monitoring, validating, and improving data quality across the organization, managing data feeds, and ensuring data accuracy and integrity enterprise-wide. Collaborate with data stewards and engineers to resolve issues and refine business rules.