Salary
💰 $75,000 - $100,000 per year
Tech Stack
PythonSQLTableau
About the role
- Gather, clean, and validate data from multiple sources, including fleet management systems, GPS trackers, scheduling systems, and financial databases.
- Maintain data integrity and develop automated reporting pipelines.
- Perform statistical analysis and data modeling to identify trends, inefficiencies, and opportunities for improvement.
- Develop dashboards and reports to monitor KPIs such as fuel efficiency, on time delivery, service completion, route optimization, asset utilization, and safety compliance.
- Use predictive modeling to forecast demand, fleet requirements, and maintenance schedules.
- Support strategic planning for routing, scheduling, and resource allocation.
- Monitor and analyze customer satisfaction scores, complaints, and feedback trends; identify drivers of customer satisfaction and propose strategies to enhance service quality.
- Work closely with operations, logistics, fleet management, and technology teams to align data-driven insights with operational goals and present findings to leadership.
- Track delivery costs, fuel usage, and vehicle wear-and-tear to identify opportunities for cost reduction; support initiatives to optimize driver scheduling and routing miles.
Requirements
- Bachelor’s degree in Data Analytics, Statistics, Computer Science, Transportation, Logistics, or a related field.
- 1–3 years of experience in data analysis, preferably within transportation or logistics.
- Advanced knowledge with Microsoft suite especially Excel and Power Point.
- Strong knowledge of data visualization tools (Power BI, Tableau, or similar).
- Experience with route optimization software is a plus.
- Strong problem-solving and critical-thinking abilities.
- Excellent communication skills to convey insights to stakeholders.
- Ability to work cross-functionally and manage multiple priorities.
- Preferred: Experience in transportation management systems (TMS).
- Preferred: Experience with Samsara and fleet telematics.
- Preferred: Experience with SQL and Python.
- Familiarity with DOT (Department of Transportation) regulations and compliance data.
- Character competencies: Problem solving; High energy; Initiative; Business financial acumen.