Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

Education and Years of Experience:1) Bachelor’s degree in Data Analytics, Supply Chain, Engineering, Statistics, or related field.2) 2 years of experience in logistics analytics, operations analytics, or supply chain data analysis.Top Skills:1. Excel(Pivot, Lookup, data matching & compare),2. Communication3. AnalysisRole SummaryLogistics Risk Analyst focuses on data-driven identification, analysis, and monitoring of logistics risks. This role serves as the analytical engine of the logistics risk management function, transforming operational data into actionable insights.Key Responsibilities-Analyze logistics data from TMS, WMS, ERP, and claims systems to identify risk patterns and anomalies.-Develop and maintain logistics risk dashboards, KPIs, and early-warning indicators.-Track trends in loss, damage, delay, and service failures.-Support root cause analysis with quantitative evidence and data modeling.-Prepare regular risk reports and ad-hoc analyses for management review.-Partner with IT and operations teams to improve data quality and system integration.-Support audits, compliance reviews, and risk assessments with data analysis.-Recommend process improvements based on data findings.Qualifications:- Bachelor’s degree in Data Analytics, Supply Chain, Engineering, Statistics, or related field.- 2 years of experience in logistics analytics, operations analytics, or supply chain data analysis.-Hands-on experience with Excel, SQL, and BI tools (Power BI, Tableau, etc.).-Familiarity with TMS/WMS and logistics performance metrics.-Experience handling large datasets and building dashboards.Core Competencies-Strong analytical and quantitative skills-High attention to detail and data accuracy-Ability to translate data into business insights-Structured analysis

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