Junior Data Analyst

About the role

Are you naturally curious, comfortable working with numbers, and always asking why? SimPL Freight Solutions is looking for a Junior Data Analyst who is excited to turn data into meaningful business insights. This is an early-career opportunity designed for a recent graduate or someone beginning their analytics career. You will join a growing analytics department within a fast-growing logistics company, where your work will support real decisions involving clients, pricing, operations, and company strategy. You will not be expected to know everything on day one. We are looking for someone with strong analytical foundations, attention to detail, and the drive to learn. You will receive guidance from experienced team members while gradually taking ownership of dashboards, reports, models, and improvement projects.

Responsibilities

• Collect, clean, and validate client, prospect, pricing, and operational data
• Build and maintain dashboards, reports, and visualizations using Excel, Power BI, Salesforce, and other tools
• Analyze freight patterns, pricing, service performance, and business trends
• Turn complex data into clear insights and recommendations for both technical and non-technical audiences
• Support pricing projects, client strategy reviews, sales presentations, and operational decisions
• Partner with operations, sales, pricing, technology, and leadership on cross-functional projects
• Identify data quality issues and help improve the accuracy and consistency of information across systems
• Document and improve recurring reporting and analytical processes
• Explore opportunities to automate workflows and use approved AI tools more effectively
• Present findings and explain how they may affect clients or the business

Requirements

• Bachelor’s degree in Data Analytics, Business Analytics, Supply Chain Management, Statistics, Mathematics, or a related quantitative field
• 0-2 years of relevant experience; internships, co-ops, academic projects, and related coursework are welcome
• Coursework or project experience involving data cleaning, analysis, visualization, or reporting
• Must be authorized to work for any employer in the