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Data Analyst ; Korean Bilingual

Job in Santa Ana, Orange County, California, 92725, USA
Listing for: Intac Solution
Full Time position
Listed on 2026-07-08
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 55 USD Hourly USD 55.00 HOUR
Job Description & How to Apply Below
Position: Data Analyst 3 (Korean Bilingual)

Embrace the opportunity to make a difference with us, where innovation meets excellence.

Join us and be part of the team

Your next career starts here with endless possibilities to grow your talents!
We are a fast growing company and we hope you'll join us where it is a place you can achieve personal best with a friendly working environment.

Location: Santa Ana, CA

Job :259-17536

# of Openings:1

Job Title:

Data Analyst 3 (#17536-1)

Pay Rate: Up to $55.00 / hr (Depends on education/qualifications)

Location: 3 Mac Arthur Place, Santa Ana, CA, USA (Fully Onsite)

Duration: 6 Months (06/29/2026 – 12/28/2026)

Role Summary

The Sr. Data & Reporting Analyst serves as the analytical engine for warehouse operations and logistics cost management. This role is responsible for all points of data mining, extraction, manipulation, analysis, and report automation. Turning complex enterprise data into clear, actionable business insights, the analyst will develop and publish daily, weekly, and monthly KPIs. Strong bilingual communication skills are critical, as the targeted audiences for these reports include senior leadership and global headquarters in Korea.

Top

Skills

Advanced Data Management & Tools: Mastery of Python, SQL, Access, Excel, and database/ETL process design.

BI Dashboards & Automation: Experience building, maintaining, and automating reports and dashboards using BI tools (Tableau, Power BI, etc.).

Logistics & SCM System Literacy: Strong hands‑on experience within SAP and Warehouse Management Systems (WMS).

Bilingual Communication (English/Korean): Exceptional written and verbal communication skills to interface with multi‑cultural executive levels and HQ.

Key Responsibilities

Data Mining & Analytics: Extract and manipulate data from multiple large‑scale sources to design, implement, and automate enterprise ETL and reporting processes.

KPI & Operational Reporting: Create, maintain, and publish standard and complex ad‑hoc reports (charts, graphs, tables) monitoring warehouse operational metrics, logistics performance, and transportation costs.

Dashboard & Automation Management: Maintain existing dashboards and design automated reporting methods to ensure data accuracy and timely generation (99+% achievement targets).

Business Intelligence Support: Help drive critical business decisions and identify performance improvement opportunities by providing in‑depth quantitative analysis and data‑driven recommendations.

Cross‑Functional

Collaboration:

Interact closely with broad operational teams to validate data, resolve discrepancies, and ensure consistent information sharing through daily/weekly briefings.

Qualifications

Education: Bachelor's degree in Business Analytics, Engineering, Mathematics, Computer Science, Accounting, or a related technical field.

Experience: Minimum 3 years of experience in data analysis within logistics, distribution center, warehouse, or supply chain environments (5–7 years preferred per Beeline requirements). Proven track record in cost analysis and report automation.

Technical Tools: High proficiency in Python, SQL, MS Excel, Access, PowerPoint, Tableau, SAP, and WMS. Experience with Microsoft SharePoint is a plus.

Certifications: Process certifications such as Six Sigma, CBPP, BPM, ISO, ITIL, or CMMI are a strong plus.

Core Competencies

Critical Thinking & Problem Solving: Exceptional analytical skills with the ability to handle highly diverse conditions and execute work assignments independently under minimal supervision.

Attention to Detail: Meticulous approach to tracking data accuracy and delivering objective, simple, and structured presentations of complex data.

Stress & Time Management: Ability to employ effective time management while working under tight time schedules, technical data feedback loops, and language barriers in a multi‑cultural environment.

Our teamwork will lead your plan to success.
Together, we can create your future.

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