Analyst, IT/Tech, Data Analyst
Job in
Fountain Valley, Orange County, California, 92708, USA
Listed on 2026-06-02
Listing for:
Partners Personnel Management
Full Time
position Listed on 2026-06-02
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst -
Business
Data Analyst, Business Systems/ Tech Analyst
Job Description & How to Apply Below
Fountain Valley, CA
Corporate Ca 1019
$36.06/Per Hour
Analyst
* Job Description
* Branch Details
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.
Corporate CA 1019
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