**Position Overview** We are seeking a proactive and analytically\-minded Logistics Margin Analyst to support inbound logistics, transportation analytics, and margin optimization. The ideal candidate will have 2\+ years of experience in logistics or supply chain analytics and be proficient in Python and SQL. This role focuses on analyzing freight and vendor data, modeling inbound routes, and providing actionable recommendations to improve net income and service performance. This position is ideal for candidates passionate about supply chain, data analytics, and optimization, and who want to grow their career in a fast\-paced, data\-driven environment. **Key Responsibilities** * Support the development and performance of inbound logistics through daily analysis of freight and vendor data. * Measure and report inbound route performance against goals and provide recommendations to improve net income and service levels for fleet, 3rd party, and dedicated carriers. * Model complex financial calculations for inbound route designs and conversions. * Develop and maintain logistics databases within the department using tools such as Llamasoft, TMS, and ArrowStream. * Utilize optimization software to engineer optimal inbound trucking routes for USF locations and dedicated 3rd party hubs. * Leverage financial, logistical, and procurement databases/systems to support reporting and ad hoc analysis for corrective actions or route re\-engineering. * Perform detailed analysis and provide KPIs/metrics to department leadership and executive supply chain stakeholders. * Collaborate across logistics functions and with internal/external stakeholders, including field teams, to ensure alignment and consensus. * Continuously identify process improvement opportunities in analytics, reporting, and route optimization. **Qualifications \& Experience** * 2\+ years of experience in logistics or supply chain analytics and or data manipulation. * Bachelor’s degree in Supply Chain, Operations, Business, Statistics, Data Analytics, or equivalent experience. * Proficient in Python for data manipulation, analysis, and reporting automation. * Proficient in SQL with strong ability to query and extract insights from large datasets. * Proficient in Data analysis, modeling, and visualization skills. * Proficiency in Microsoft Office (Excel, PowerPoint, Word, Access). * Strong analytical skills with experience interpreting large datasets to derive actionable insights. * Effective communication and teamwork skills; able to collaborate with cross\-functional teams. * Experience with transportation management and logistics optimization tools is a plus (Llamasoft, TMS, ArrowStream). **Nice to Have** * Experience with data warehouse tools and extracts. * Knowledge of optimization and forecasting techniques. * Experience building dashboards or visualizations for internal stakeholders. **Why You Will Love Lean Tech** * Be part of a fast\-growing tech company with international clients. * Gain experience working with cutting\-edge reporting and BI tools. * Work in a collaborative, mentorship\-driven environment. * Opportunity for career advancement and continuous learning. Join Lean Tech and start your career in reporting and business intelligence, helping companies turn raw data into actionable insights.