Operations Analyst: Data Insights for Freight Efficiency

Motion Recruitment; Georgia; Sur place; USD 65 000 - 85 000; Plein temps

Avantages offerts par ce poste

Medical, Dental, and Vision Insurance

Vacation Time

Bonus/Commission eligible

Résumé du poste

Motion Recruitment is seeking an Operations Analyst to join an established analytics team in Georgia. You will leverage SQL and Tableau to support reporting, identify opportunities to improve freight network efficiency, and partner with teammates across departments.

Ideal candidates are early-career analysts with a foundation in SQL and Tableau who are eager to learn internal systems and business processes, collaborate closely with colleagues, and contribute to data-driven decision making.

Qualifications

• Proficient in SQL with ability to write queries for analysis.
• Hands-on Tableau experience for dashboards and reports.
• Strong analytical thinking and attention to detail.
• Clear communication and collaboration across teams.
• Willingness to learn internal systems and processes.

Responsabilités

• Write and maintain SQL queries to pull data for reporting and analysis.
• Use Tableau to identify trends, explain findings, and support decision-making.
• Review data for accuracy and investigate reporting issues or inconsistencies.
• Learn internal systems, workflows, and operational processes through training.
• Support projects related to pricing, freight network efficiency and broader operational goals.

Connaissances

SQL

Tableau

Analytical thinking

Communication

Willingness to learn

Description du poste

Motion Recruitment is seeking an Operations Analyst to join an established analytics team in Georgia. You will leverage SQL and Tableau to support reporting, identify opportunities to improve freight network efficiency, and partner with teammates across departments.

Ideal candidates are early-career analysts with a foundation in SQL and Tableau who are eager to learn internal systems and business processes, collaborate closely with colleagues, and contribute to data-driven decision making.