Supervisor II, Data Architecture & Service Optimization

Ocean Network Express - Richmond, VA

Full-time - Mid Level

Remote - Richmond, VA

Professional, Scientific, and Technical Services

About the position

The Supervisor II, Data Architecture & Service Optimization at Ocean Network Express is responsible for leading a team of analysts across multiple service centers, ensuring the delivery of high-quality data solutions that support strategic business initiatives and enhance customer experience. This role involves performance management, operational oversight, and collaboration with cross-functional teams to drive data-driven improvements and optimize processes.

Responsibilities

• Oversee daily activities of Data Analysts across multiple service centers (Chicago, Boise, Richmond).
• Conduct first-level performance evaluations, providing feedback and development plans.
• Mentor and coach team members to enhance technical skills, ensure accountability, and foster professional growth.
• Ensure analysts meet deadlines for data reporting, analysis, and dashboard development.
• Monitor and enhance data integrity, accuracy, and reporting processes.
• Provide guidance on best practices for data visualization tools such as Looker, Google Data Studio, and ONE Force.
• Act as a liaison between Data Analysts and the Sr. Manager, escalating issues as needed.
• Collaborate with cross-functional teams to align on data-related projects.
• Translate business requirements into actionable data insights for teams.
• Assist in the implementation of new data tools and initiatives.
• Support the Sr. Manager in executing strategic initiatives, including KPI benchmarking and process optimization.
• Lead smaller-scale projects and initiatives within the team, ensuring alignment with larger organizational goals.
• Encourage a culture of continuous improvement by identifying inefficiencies and suggesting solutions.

Requirements

• 3+ years of experience in data analytics or related fields, with at least 2+ years in a supervisory or leadership role.
• Bachelor's degree in Business, Data Science, or a related field required.
• Strong leadership and interpersonal skills, with the ability to inspire and motivate a team.
• Analytical mindset with the ability to interpret complex data and translate it into actionable insights.
• Proficiency in data visualization and analysis tools such as Looker, Google Data Studio, or equivalent.
• Effective verbal and written communication skills, including the ability to present complex information clearly.
• Strong organizational and problem-solving skills with attention to detail.
• Experience with Google Cloud Platform (GCP), Big Query, and programming languages such as SQL, Python, or JavaScript is a plus.

Nice-to-haves

• Knowledge of cargo management processes, customer segmentation, and operations optimization.

Benefits

• Opportunities for advancement