Data Analyst, Execution Marketing — Hybrid (Looker/SQL)

Ocean Network Express North America; Richmond (VA); Hybrid; USD 50,000 - 65,000; Full time

Benefits offered by this job

Hybrid work schedule

Job summary

Ocean Network Express North America in Richmond, VA is seeking a Data Analyst for Execution Marketing. The role focuses on transforming complex data into actionable insights using SQL and Looker to support cross-functional decision making.

You will build and maintain Looker dashboards, develop scalable data models, and write complex queries in BigQuery. The position requires collaboration across departments and a proactive, analytical mindset.

Qualifications

• 3+ years in shipping/logistics preferred.
• Advanced SQL (joins, CTEs, window functions, aggregation) with BigQuery.
• Experience with Looker/Looker Studio for dashboards.

Responsibilities

• Build, deploy, and maintain Looker dashboards and reports for stakeholders.
• Develop scalable LookML models, explores, and measures for self-service analytics.
• Write and optimize SQL queries in BigQuery across multiple data sources.
• Collaborate with cross-functional teams to translate business questions into data requirements.
• Monitor dashboards performance and data accuracy to control costs and latency.
• Conduct deep-dive analyses on performance and trends to inform strategy.
• Create lightweight automated workflows with Google Apps Script.

Skills

SQL

Looker

BigQuery

Looker Studio

dashboards and self-service analytics

communication across departments

analytical thinking

cross-functional collaboration

Google Apps Script

Data visualization

Tools

Google BigQuery

Looker

Job description

Ocean Network Express North America in Richmond, VA is seeking a Data Analyst for Execution Marketing. The role focuses on transforming complex data into actionable insights using SQL and Looker to support cross-functional decision making.

You will build and maintain Looker dashboards, develop scalable data models, and write complex queries in BigQuery. The position requires collaboration across departments and a proactive, analytical mindset.