Data Analysis Specialist II

SHEIN Technology LLC


Date: 1 day ago
City: Bellevue, WA
Contract type: Full time
POSITION RESPONSIBILITIES

Job Responsibilities

Job Responsibilities

  • Analyze logistics performance metrics, including transportation spend, delivery times, inventory levels, and warehouse efficiency.
  • Develop and maintain dashboards and reports to visualize key logistics data for stakeholders.
  • Collaborate with cross-functional teams to identify data-driven solutions for logistics challenges.
  • Conduct in-depth analyses to support operational improvements and process optimization.
  • Monitor trends in logistics data and provide timely insights to management.
  • Ensure data accuracy and integrity by implementing best practices in data collection and analysis.
  • Assist in the development of forecasting models to predict logistics needs and performance.
  • Mentor and guide junior analysts in data analysis techniques and methodologies.

Job Requirements

Job Requirements

  • Bachelor's degree in Data Science, Statistics, Logistics, Supply Chain Management, or a related field; Master's degree preferred.
  • 3+ years of experience in data analysis, with a focus on logistics or supply chain metrics.
  • Proficiency in analytical tools and programming languages such as SQL, Python, or R.
  • Experience with data visualization tools like Tableau, Power BI, or similar platforms.
  • Strong knowledge of logistics and supply chain concepts and metrics.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills, with the ability to present complex data insights to non-technical stakeholders.
  • Experience with statistical analysis and modeling techniques.

Job Requirements

Job Requirements

  • Bachelor's degree in Data Science, Statistics, Logistics, Supply Chain Management, or a related field; Master's degree preferred.
  • 3+ years of experience in data analysis, with a focus on logistics or supply chain metrics.
  • Proficiency in analytical tools and programming languages such as SQL, Python, or R.
  • Experience with data visualization tools like Tableau, Power BI, or similar platforms.
  • Strong knowledge of logistics and supply chain concepts and metrics.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills, with the ability to present complex data insights to non-technical stakeholders.
  • Experience with statistical analysis and modeling techniques.

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