Supervisor II, Data Architecture & Service Optimization

Ocean Network Express - Boise, ID

Full-time - Mid Level

Remote - Boise, ID

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, mentoring, and operational oversight to optimize data reporting and analysis 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 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 and Google Data Studio.
• 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.
• Encourage a culture of continuous improvement by identifying inefficiencies and suggesting solutions.

Requirements

• 3+ years of experience in data analytics or related fields.
• 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.
• Analytical mindset with the ability to interpret complex data.
• Proficiency in data visualization and analysis tools such as Looker and Google Data Studio.
• Effective verbal and written communication skills.
• Strong organizational and problem-solving skills.

Nice-to-haves

• Experience with Google Cloud Platform (GCP) and Big Query.
• Knowledge of cargo management processes and customer segmentation.
• Familiarity with programming languages such as SQL, Python, or JavaScript.

Benefits

• Opportunities for advancement