Tractor Supply - Brentwood, TN

posted 4 months ago

Full-time - Mid Level
Brentwood, TN
Merchant Wholesalers, Durable Goods

About the position

The Analyst, Data Governance position at Tractor Supply Company is responsible for implementing and managing enterprise data governance and quality programs. This role involves developing and deploying data standards, monitoring data incidents, and ensuring compliance with data policies. The analyst will utilize advanced analytical techniques, including AI and machine learning, to extract actionable insights that optimize operations and drive strategic growth.

Responsibilities

  • Manage governance and quality assurance of data elements using Data Governance/Quality tools and processes.
  • Work with stakeholders to achieve goals defined in data governance and management strategies.
  • Administer data governance and quality activities, ensuring collaboration from data stewards and subject matter experts.
  • Deliver status updates on data quality and manage data refreshes to a Data Quality dashboard.
  • Utilize DG/DQ applications to improve standardization and efficiency of data.
  • Ensure controls are in place to maintain data integrity by performing gap analysis.
  • Coordinate resolution of data integrity gaps with business owners and IT.
  • Gather functional requirements, develop complex queries, and provide reports.
  • Take ownership of data issue resolution and optimize remediation processes.
  • Build and fine-tune machine learning models for various business use cases and evaluate their performance.
  • Translate complex analytical results into actionable insights for non-technical stakeholders.
  • Generate reports, dashboards, and visualizations to support data-driven decision-making.

Requirements

  • 3+ years of experience in Retail Analytics or related business.
  • Familiarity with Data Governance/Quality tools and Visualization tools such as Tableau.
  • Bachelor's degree in Business, Information Systems, or a Data-related field.

Nice-to-haves

  • Strong understanding of databases and data structures.
  • Advanced Python development experience.
  • Experience with AI/Predictive machine learning models development, including Neural Networks.
  • Experience working with Large Language Models (LLMs) such as ChatGPT.
  • Experience with APIs and Web Frameworks such as Flask.
  • Experience in Process Automation.
  • Intermediate experience in writing SQL in an analytical capacity.

Benefits

  • Hybrid / Flexible working conditions
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