Data Analyst, Execution Marketing

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

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Ocean Network Express

Data Analyst, Execution Marketing

Custom Field 1: USA - Richmond

Salary Range:$50,000.00to$65,000.00

Location

This position will follow a hybrid work-from-home/office model with at least three days in the office weekly.

Role Summary

The Data Analyst - Execution Marketing position is responsible for transforming complex, raw business data into clear, actionable insights through intuitive dashboards and self-service analytics models. They will write SQL and use Looker to design dynamic dashboards that help cross-functional teams make faster, data-driven decisions.

Additional Responsibilities

Build, deploy, and maintain automated, user-friendly Looker dashboards and reports tailored to business stakeholders.

Develop and maintain scalable LookML models, explores, and measures to enable self-service analytics across the organization.

Write, optimize, and maintain complex SQL queries in Google BigQuery to aggregate, clean, and model data from multiple business sources.

Partner with cross-functional teams to gather requirements and translate business questions into technical data requirements.

Monitor dashboard performance, audit data accuracy, and ensure queries run efficiently in BigQuery to manage costs and response times.

Conduct deep-dive analyses on business performance, operational trends, and key metrics to support strategic initiatives.

Create lightweight automated workflows using Google Apps Script to reduce manual reporting tasks.

Core Required Skills and Competencies

Self-starting and highly motivated individual.

Creative and strongly analytical, with a curious mindset.

Ability to evaluate data, analyze, and problem solve.

Innovative and change-oriented.

Ability to collaborate effectively.

Ability to drive and influence change.

Ability to multitask and prioritize.

Ability to learn software and systems within a short period of time

Must be able to communicate and interact effectively with individuals across departments and across all levels, from staff to senior management.

Strong interpersonal skills, both written and verbal, as well as presentation skills.

Function Specific Skills

Advanced proficiency in SQL (joins, CTEs, window functions, aggregation) with direct experience using Google BigQuery.

Hands-on experience incorporating AI tools into daily workflows

Extensive knowledge of data including investigation and analysis and of data extraction and report/visualization creation.

Demonstrate advanced knowledge of Gsheet/Microsoft Excel or similar tools for data manipulation using functions.

Experience in Analysis tools such as Google Workspace and/or Looker / Looker Studio.

Capability to data model and create new data sets.

Required Minimum Years Experience

A minimum of three years in the shipping/logistics industry is preferred but not required.

Required Minimum Education

Ocean Network Express provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

At Ocean Network Express, we strive toward high-level results for all our employees and pride ourselves on identifying opportunities for internal movement and advancement of proven talent. We enjoy meeting candidates who are persistent in their own professional development.

ONE NA follows a hybrid work schedule requiring employees to work 3 days in the office (i.e. Tuesday, Wednesday, Thursday) and 2 days remote each week.

Salary commensurate with experience means your pay will be directly proportional to your background, skills, and qualifications.