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Uber Global Operations Data Analyst 
United States, West Virginia 
805704758

22.11.2024

About the Role

As a Data Analyst, you'll be at the heart of our efforts to optimize key operational metrics, such as Cost per Trip (CPT). Your role will focus on identifying cost-saving opportunities, collaborating closely with Tech, Product, and Operations teams to drive improvements. By analyzing large datasets and providing valuable insights, you’ll help steer data-driven decisions that enhance the company's operational efficiency.

What You’ll Do

  • Analyze Key Metrics : Examine CPT trends and share insights to uncover cost-saving opportunities.
  • Build Dashboards : Develop and maintain dashboards that track core operational metrics for easy monitoring.
  • Forecasting and Modeling : Create and refine forecasting models to anticipate future CPT trends and savings opportunities.
  • Cross-Functional Collaboration : Partner with Tech and Product teams to support new implementations and resolve issues based on data insights.
  • Present Insights : Share findings and reports with stakeholders, helping the organization make informed, strategic decisions.

What You’ll Need

  • Data Analysis Proficiency : Skilled in SQL, Python, and Excel for comprehensive data analysis.
  • Analytical Skills : Strong problem-solving abilities with a focus on identifying actionable insights.
  • Collaborative Approach : Experience working with cross-functional teams (Tech, Product, Operations) to drive results.
  • Industry Experience : Prior experience in logistics or operations analytics is ideal.
  • Data Visualization Skills : Proficient with data visualization tools (e.g., Tableau, Power BI) for clear reporting.
  • Attention to Detail : Highly detail-oriented, with the ability to manage multiple projects and meet deadlines.
  • Adaptability : Comfortable working with large datasets in a dynamic, fast-paced environment.

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .