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Data Analyst

Reference Number: CHQ-RGOM-9CPVTB







Corporate; Americas - USA-Northwest

Seattle Corporate

Information Services



About Us
“We’re not in the shipping business; we’re in the information business”
Peter Rose, Expeditors Founder

Global supply chain management is what we do, but at the heart of Expeditors you will find professionalism, leadership, and a friendly environment, all of which foster an innovative, customer service-based approach to logistics.

- 13, 000 trained professionals
- 250+ locations worldwide
- Fortune 500
- Globally unified systems

About the Position
The IT Data Analyst at Expeditors assists in the understanding of complex data relationships in support of system development processes. The Data Analyst supports planning, root cause analysis, and process improvement activities through analysis and profiling. The Data Analyst will also be involved in identifying trends, outliers and anomalies and providing forecasts. The ideal candidate for this position is immensely curious and enjoys working hands on with data in a complex central data warehouse environment. They are passionate about quality and motivated to uncover system issues contributing to poor data quality. This is not a business oriented data analyst position, although candidates with business data analysis experience along with strong business acumen and advanced technical capabilities are encouraged to apply.

Essential Experience
- Advanced SQL and DBMS knowledge
- R, SAS, Python, Perl, Java, or other modern programming language Statistical analysis
- Data profiling
- BS in Computer Science, Statistics, Mathematics, Engineering, or related field, and/or 3+ years of experience of analysis in a data intensive field

Preferred Experience
- Erwin and/or MagicDraw
- Data Integration (ETL) concepts
- Data warehouse best practices
- Metadata best practices
- Dimensional modeling for the data warehouse
- Relational database modeling

- Paid Vacation, Holiday, Sick Time
- Health Plan: Medical, Prescription Drug, Dental and Vision
- Life and Long Term Disability Insurance
- 401(k) Retirement Savings Plan
- Employee Stock Purchase Plan
- Training and Education Program

Key words: Logistics, Global Supply Chain, Entry-level, canonical data model, associate developer, business intelligence


Career Level

Mid Career (2+ yrs Exp.)

Position Type

Full Time



Opening Date


Closing Date


Action Requested

Please apply on our website at www.expeditors.com