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# Logistics Analyst Data Scientist

- **Company:** Danaher Corporation
- **Location:** Hebron, KY, United States
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Data Integration, Data Visualization, Relational Databases, R (Programming Language), Python (Programming Language), Power BI, Software Tools, Software Engineering, SQL Databases, Snowflake, Optimization Algorithms, Data Analytics, Performance Monitor
- **Published:** May 24, 2026
- **Apply:** https://www.juju.com/job/00000000g25457

## About the Role

+ Apply strong proficiency in data analytics and modeling tools, such as: SQL, snowflake, Python, R, advanced Excel, and statistical or optimization software, to solve complex logistics and transportation problems

 + Leverage a solid understanding of statistical analysis, trend identification, and optimization techniques to support performance improvement and cost-reduction initiatives

 + Utilize SQL-based relational databases and data integration tools to extract, transform, and validate logistics and transportation data from multiple systems

 + Translate complex, multi-source datasets into clear, actionable insights that drive measurable cost savings and operational improvements

 + Design and deliver impactful insights through Power BI data visualization tools, supporting KPI tracking, performance monitoring, and stakeholder decision-making

The essential requirements of the job include:

 + Bachelor's degree in Data Science, Analytics, Industrial Engineering, Supply Chain, Operations Research, or related field with 1+ years of experience

 + Strong understanding of data such as transportation, supply chain operations, and business financials

 + Ability to connect analytical outputs to real-world logistics execution

 + Demonstrates strong verbal, written, and listening skills

 + Ability to communicate effectively to all levels of the organization while leading with integrity

It would be a plus if you also possess:

 + Experience working in a global or multi-regional environment

 + Knowledge across multiple transportation modes: Parcel (domestic and international), LTL, FTL, and International Air/Ocean

 + Familiarity with Lean, Six Sigma, or additional continuous improvement methodologies



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