Analyst, Data Governance

Tractor Supply Company•Brentwood, TN

1d•Hybrid

About The Position

This position is responsible for implementing an enterprise data governance and quality program. The role helps develop and deploy data standards and create methods for monitoring and reporting data incidents. The Analyst participates in the application and deployment of data policies and processes and their continued enforcement. They may create and maintain common data dictionaries and the tools or methods that support data standards for TSC. They also apply advanced analytical techniques including AI/Machine learning to help extract actionable knowledge to optimize operations and drive strategic growth.

Requirements

3+ years of experience in Retail Analytics or related business.
Familiarity with Data Governance/Quality tools, Visualization tools (such as Tableau) and the associated processes, preferred.
Knowledge in reporting, analytics, and problem solving a must.
Bachelor’s degree from an accredited college or university in Business, Information Systems, or Data related field.
Any suitable combination of education and experience will be considered.

Nice To Haves

Strong understanding of databases and data structures.
Strong analytical and time management skills.
Self-motivated and able to handle tasks with minimal supervision or questions.
Ability to deliver a high level of customer service.
Ability to write various documents such as functional requirements.
Exposure to Data Governance/Data Quality processes, roles, policies, standards, and metrics that ensure the effective and efficient use of information.
Advanced Python development experience.
Experience with Data modeling and data management.
Experience with AI/Predictive machine learning models development, including Neural Networks.
Experience working with Large Language Models (LLMs) such as ChatGPT.
Experience working with APIs, Web Frameworks such as Flask, Web-scraping technologies and with Advanced Server Commands (Bash/PowerShell).
Experience with Process Automation.
Intermediate experience in writing SQL in an analytical capacity.
Experience in other programming languages (such as JavaScript, HTML, R, etc.) preferred but not required.
Experience in utilizing evolving data analytics applications such as Excel, Collibra, Snowflake, Tableau and Power BI.
Experience with large data sets and relational databases preferred.
Detail-oriented approach to tasks, especially regarding data integrity and data quality.
Strong written and verbal communication skills
Intermediate level proficiency with Microsoft Office products.

Responsibilities

Manage governance and quality assurance of data elements by utilizing the Data Governance/Quality tools and processes, monitoring systems and reports, proposing system and/or process enhancements, and participating in testing.
Work with various stakeholders across the organization to achieve the goals defined in the data governance and data management strategies.
Administer data governance and data quality activities and ensure collaboration from data stewards, data owners and business and functional area subject matter experts.
Deliver status updates on data quality by managing and coordinating data refreshes to a Data Quality dashboard.
Utilize DG/DQ applications and other tools to improve standardization and efficiency of data.
Ensure controls are in place over applications to ensure the data integrity by performing data integrity gap analysis.
Coordinate the resolution of data integrity gaps by working with the business owners and IT.
Work with business partners to gather and understand functional requirements, develop complex queries, and provide reports.
Take ownership of the resolution of data issues and optimize remediation.
Build and fine-tune machine learning models for various tasks and business use cases; also, evaluate model performance, and deploy models in real-world applications.
Translate complex analytical results into actionable insights and present them to non-technical stakeholders.
Generate reports, dashboards, and visualizations to support data-driven decision-making.