Data Analyst, Execution Marketing

Ocean Network Express • Richmond, VA

8d • Hybrid

About The Position

The Data Analyst - Execution Marketing transforms complex, raw business data into clear, actionable insights through intuitive dashboards and self-service analytics models. The role uses SQL and Looker to build dynamic dashboards that help cross-functional teams make faster, data-driven decisions. It also supports strategic initiatives with analyses of business performance, operational trends, and key metrics, and reduces manual reporting through lightweight automated workflows.

The position follows a hybrid work schedule requiring three days in the office and two days remotely each week. Salary ranges from $50,000 to $65,000, commensurate with experience. A bachelor's degree is preferred, and three years of shipping or logistics industry experience is preferred but not required.

Requirements

• Advanced proficiency in SQL, including joins, CTEs, window functions, and aggregation, with direct experience using Google BigQuery.
• Hands-on experience incorporating AI tools into daily workflows.
• Extensive knowledge of data investigation and analysis, data extraction, and report or visualization creation.
• Advanced knowledge of Google Sheets, Microsoft Excel, or similar tools for data manipulation using functions.
• Experience with analysis tools such as Google Workspace and/or Looker or Looker Studio.
• Ability to data model and create new data sets.
• Self-starting and highly motivated, with a creative, analytical, and curious mindset.
• Ability to evaluate data, analyze and solve problems, collaborate effectively, drive and influence change, and multitask and prioritize.
• Ability to learn software and systems quickly.
• Effective communication and interaction across departments and organizational levels, with strong written, verbal, interpersonal, and presentation skills.
• Bachelor's degree preferred.

Nice To Haves

• At least three years of experience in the shipping or logistics industry; preferred but not required.
• Exposure to or knowledge of programming languages such as Python or JavaScript.

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 BigQuery queries run efficiently to manage costs and response times.
• Conduct deep-dive analyses of business performance, operational trends, and key metrics to support strategic initiatives.
• Create lightweight automated workflows using Google Apps Script to reduce manual reporting tasks.

What This Job Offers

• Job Type: Full-time