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Data Analyst - Inventory Audit And Analytics

Job in Seattle, King County, Washington, 98127, USA
Listing for: brobstongroup.com - Jobboard
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, Data Science Manager, Data Warehousing
Job Description & How to Apply Below
Position: Data Analyst 2 - Inventory Audit And Analytics

Summary

The Data Analyst 2 supports the Inventory Audit organization by delivering advanced analytics, reporting, and data storytelling to inform strategic decisions. The role emphasizes data integrity, process improvement, and cross functional stakeholder engagement. The analyst will develop measures and visualizations that drive operational improvements and monitor program performance.

Responsibilities
  • Own the intake, management, and integrity of data used by the Inventory Audit Programs team
  • Collaborate with data and business partners to champion IAP data needs and priorities
  • Create narratives, trends, and insights to drive business improvements
  • Ensure the process, flow, and accuracy of data across supported systems
  • Define data design requirements and deliverables for programs and initiatives
  • Support business analysts in developing accurate reporting and analyses
  • Identify and develop new measures and KPIs to support program and system changes
  • Support modernization of reporting and data visualization efforts and participate in testing and UAT
  • Develop and maintain guidelines for consistent data usage and reporting
Requirements
  • Bachelor’s degree in Data Science, Analytics, Statistics, Computer Science, or related quantitative field
  • 3+ years of relevant experience in data management, analysis, and reporting
  • 3+ years of SQL experience with performant, maintainable query development
  • Advanced experience with data visualization tools such as Tableau or Power BI
  • Strong statistical skills including hypothesis testing and correlation analysis
  • Experience with cloud analytics platforms (AWS or GCP) and scalable data solutions
  • Experience developing and maintaining ETL pipelines, workflow orchestration, and data quality assurance
  • Advanced programming in Python or R and experience with version control (Git)
  • Familiarity with Teradata, Tableau Server, Alteryx or similar tools and the ability to present findings to stakeholders
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