Data Quality Analyst

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 currently seeking a Data Quality Analyst to join the Transformation team in Louisville, KY.

Position Overview:

This position functions as a Data Quality Analyst, responsible for monitoring, validating, and improving data quality across the organization. The role manages incoming data feeds, identifies and resolves data issues, and supports the accuracy, completeness, and integrity of enterprise data and drives to improve data quality Key Performance Indicators.

Essential Functions

• Operational responsibility for monitoring incoming and outgoing data feeds and data quality
• Working with functional business data stewards, researching data quality issues to resolution, and working with data engineers to continuously improve data quality processes
• Analyze data and identify trends to fine-tune business rules for data quality monitoring
• Ad-hoc processing of jobs to ensure the accuracy and integrity of data
• Research and resolve incoming data issues by providing corrective action guidance to trading partners and following through to resolution
• Build and enhance data monitoring solutions to address most common points of failure
• Act as the subject matter expert for distributor and supplier data that feed RSCS systems
• Provides backup support for business-critical data governance coverage such master data maintenance, data quality, data feed monitoring, issue resolution, and other team processes when business continuity, workload, or team availability requires additional support

Hybrid Schedule: 3 days in the office, 2 days remote

Excellent Benefits! Medical, Dental, Vision, Free lunch on Wednesday, Retirement, Vacation, Holidays, Floating Holidays, and much more.

Education, Experience and Skills

• 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
• Strong collaboration skills
• Strong analytical and problem-solving skills
• Strong desire to become SME in distributor and supplier data
• Excellent written and verbal communication skills
• Proficient with Microsoft Office Programs (i.e., Word, PowerPoint, and Outlook)
• Prefer supply chain experience
• Prefer experience in an environment that processes data feeds from hundreds of trading partners
• Prefer DevOps experience
• Prefer analytics and model development experience
• Prefer data governance experience