[Mid Level] Data Analyst - Supply Chain Warehouse Reporting & Analytics (17536-1)

JND Inc.
Santa Ana, CA, United States
6 days ago
Apply on www.wayup.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Microsoft Access Microsoft Excel Data Analysis Data Mining Microsoft PowerPoint SAP (Applications) SQL Databases Data Processing Warehouse Management Systems

Job description

  • Job Title: Data Analyst - Supply Chain Warehouse Reporting & Analytics, * Responsible for all points of data mining, extraction, manipulation, analysis, and reporting
  • Develops and reports daily, weekly, and monthly analysis of key performance indicators related to warehouse operational metrics
  • Provides critical analysis of costs associated with logistics, warehouse, and transportation operations
  • Supports improvement opportunities and monitors discrepancies throughout the organization
  • Works with cross-functional teams to validate data and collaborate on operational insights [Duties and Responsibilities]

  • Data & business analysis
  • Data mining & extraction from multiple sources to build reports
  • Daily, weekly, and monthly report generation
  • Report automation & design
  • Maintaining existing dashboards; weekly & monthly analysis and reporting
  • Help drive critical business decisions through in-depth analysis; provide recommendations based on findings
  • Develop models that help with decision-making
  • Identify opportunities for performance improvement
  • Publish standard and complex ad-hoc reports with varying detail for different audiences

Requirements

  • Education: Bachelor’s Degree in Business Analytics, Engineering, Mathematics, Accounting, or related field
  • Minimum 3 years of experience in reports and data analysis within logistics, distribution center, warehouse, and/or supply chain environments, * Minimum 3 years of experience in reports and data analysis within logistics, distribution center, warehouse, and/or supply chain environments
  • High proficiency in MS Excel (40%), SQL (35%), Access, BI Tools, and PowerPoint (25%) required
  • Experience with SAP and WMS (Warehouse Management Systems) required
  • Bachelor’s Degree in Business Analytics, Engineering, Mathematics, Accounting, or related field
  • Excellent analytical, decision-making, and problem-solving skills
  • Strong data mining skills and experience extracting & manipulating data from multiple sources
  • Strong verbal and written communication skills; ability to interact with all levels of management
  • Results driven; ability to handle multiple projects and work independently without supervision
  • Must be comfortable working in a multi-cultural business environment

Benefits & conditions

  • Job Type: Full-Time, Hourly [Location]

  • Santa Ana, CA [Benefits & Perks]

  • Medical Insurance (Health, Dental & Vision)
  • 401(k)
  • Paid Time Off
  • H1B/Green Card Sponsorship for qualified employee
  • Hands-on experience at global industry leader Samsung
  • Opportunities for career advancement

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.wayup.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:31 min

Data mining literary works for language patterns

Jen Looper Jen Looper · Europe 2026 Virtual

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

2:44 min

Integrating data analytics into the talent acquisition function

Kobi Kobi +1 · World Congress 2025

4:25 min

Analyzing web accessibility data at scale

Karl Groves Karl Groves · LIVE

1:28 min

Building shared Java modules and analyst targeting platforms

Chris Heilmann +2 · LIVE

Videos

See all

Related articles

See all