Data Analyst- Field Reliability

Tesla

Role

Tesla is looking for an exceptional Data Analyst to impact the
Reliability Engineering team.

Responsibilities:

  • Perform statistical analysis to quantify
    reliability risks in the field and identify emerging trends
  • Create data visualizations to communicate analysis
    results and drive decision making
  • Utilize vehicle fleet data for diagnostics and
    prognostics
  • Perform correlation studies between manufacturing
    data and field performance to develop screening tests

Requirements

  • Strong SQL, comfortable writing queries, data
    processing scripts, and understanding RDBMS data structures
  • Strong Python, especially in a data
    analytics/science capacity where pandas/numpy are used heavily
  • Strong analytical skills and knowledge of applied
    statistics including predictive analytics, time series analysis and machine
    learning. Working knowledge of reliability statistics such as Weibull Analysis
    preferred
  • Able to visualize data effectively
    • Python (matplotlib/seaborn/plotly/etc)
    • Tableau (or, similar BI tools)
    • Any opensource/freeware viz tools (e.g., D3,
      ggplot)
  • Ability to quickly learn new technologies
  • Exposure to “big data” technologies,
    particularly any part of a Spark, HBASE, Hadoop stack
  • BS in Computer Science, Physics, Electrical Engineering or proof of exceptional skills in related fields.