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Data Analyst Internship at TESLA – Internships for Students | Apply before 11 June 2022

Data Analyst Internship at TESLA – Internships for Students | Apply before 11 June 2022

Highlights:

  • Application Closes on: 11 June 2022
  • Location: California, United States

Elligibility: Graduate, Postgraduate, Undergraduate Students can apply.

Responsibilities of the Intern:

  • Develop scheduling tools for Field Service Coordinators to visualize scheduled technician routes, sites needing scheduling, and relevant fixed locations (e.g., warehouses)
  • Quantify prioritization of field activities to inform decision-making on which sites to visit first (e.g., safety-related, financial impact, service level obligations, etc.)
  • Automate features to click-and-schedule from visualization user interface (e.g., Tableau) to multiple Tesla-proprietary scheduling applications used by field technicians
  • Measure compliance and impact of changes in prioritization in time to schedule and time to visit sites based on scheduling tools
  • Develop recommendation features to identify improvement opportunities to scheduled routes (e.g., adding nearby site, swapping technicians for visits if routes intersect)
  • Build framework for end-to-end recommendation algorithm to advise Scheduling Coordinators on optimal schedule routes, based on technician availability, site needs / priorities, and geography

Qualifications & Requirements:

  • Currently pursuing an undergrad or master’s degree in Engineering, Computer Science, Business, and/or other quantitative and technical fields 
  • Evidence of exceptional ability, especially within an ambiguous environment 
  • 2-5 years of experience in analytics, program manager, or another structured training program
  • Demonstrated success driving tangible impact / influencing within a broader organization
  • Ability to quickly grasp technical concepts at a detailed level, and synthesize implications
  • Strong written and verbal communication skills, particularly with senior business leaders
  • Proficient with SQL, Python, Excel VBA, and Tableau or similar dashboarding tools
  • Experience with JIRA and git
  • Highly collaborative, team-oriented, and comfortable leading cross-functional projects, especially those consisting of both technical and non-technical stakeholders
  • A passion for sustainable energy

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