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🔍 Transportation supply chain logistics
- 1-3 years of experience in an analytical role.
- Excellent communication skills.
- Academic or professional experience in quantitative fields such as mathematics, statistics, computer science, or data science.
- Ability to contextualize complex statistical concepts with various stakeholders.
- Experience with large datasets and creative data visualization.
- Understanding of relational databases and data structures.
- Fluency with SQL and a programming language like Python, R, or JavaScript.
- Knowledge of business intelligence platforms such as Tableau, Power BI, or Looker.
- Bonus: Experience in the freight logistics space.
- Work with Sales and DAT principal analysts to deliver industry insights, visualizations, and data for use by customers and in external publications.
- Address ambiguous customer problems and formulate hypotheses into actionable experiments.
- Quickly develop custom data solutions for external customers.
- Represent DAT as a subject matter expert during customer meetings and trade shows.
- Explore data to identify opportunities for product development and improvement.
- Ensure quality and alignment of data feeds throughout their lifecycle.
- Act as a knowledge resource on DAT’s products and services.
- Collaborate with Product Development to scale successful prototypes.
PythonSQLBusiness IntelligenceJavascriptJavaScriptTableauData scienceData StructuresCommunication Skills
Posted 2024-11-21
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