Data Quality Analyst

Restaurant Supply Chain Solutions, LLC - A Yum! Brands Co-op•Louisville, KY

3d•Hybrid

About The Position

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.

Requirements

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)

Nice To Haves

supply chain experience
experience in an environment that processes data feeds from hundreds of trading partners
DevOps experience
analytics and model development experience
data governance experience

Responsibilities

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