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Analyst, IT​/Tech, Data Analyst

Job in Fountain Valley, Orange County, California, 92728, USA
Listing for: Partners Personnel Management
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
  • Business
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Position Overview

The Data Analyst will play a critical role in analyzing, interpreting, and visualizing data to support strategic initiatives across various departments. This role requires strong analytical skills, attention to detail, and a deep understanding of supply chain operations within the automotive parts industry. The ideal candidate will be proficient in SQL, Python, and BI tools while demonstrating a proactive approach to problem-solving and data-driven decision-making.

Key Responsibilities Data Analysis & Reporting
  • Analyze inventory levels, demand forecasts, and distribution efficiency across North America.
  • Develop interactive dashboards and reports using tools like Power BI or Tableau for cross-functional teams.
  • Track and report Key Performance Indicators (KPIs) related to order accuracy, fill rates, and supply chain performance
    .
Supply Chain Optimization
  • Collaborate with the Logistics, Sales, and Operations teams to identify inefficiencies and propose data-backed solutions.
  • Utilize historical data to forecast demand, reduce excess inventory
    , and enhance order fulfillment performance
    .
Data Integrity & Governance
  • Maintain data integrity and accuracy across ERP, WMS, and CRM systems
    .
  • Develop data validation processes to identify discrepancies and ensure clean, reliable datasets
    .
Collaborative Insights
  • Work closely with IT and Business Intelligence teams to develop automated reporting processes
    .
  • Partner with leadership to translate complex data insights into practical, business-friendly recommendations.
Process Improvement
  • Evaluate and optimize existing data models and develop new models to support evolving business needs
    .
  • Provide ad-hoc analysis to support executive decision-making and operational improvements
    .
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