Data Analyst
Melbourne
Tesla
Type: Full-time
Level: Junior Level
Salary:
4 years ago
Deadline: 2020-10-25
Job Description
- Work with stakeholders to take a vague problem statement, refine the scope of the analysis, and use the results to drive informed decisions
- Write reproducible data analysis over petabytes of data using cutting-edge open source technologies
- Understand and apply reliability concepts in your data analysis
- Summarize and clearly communicate data analysis assumptions and results
- Build data pipelines to promote your ad-hoc data analyses into production dashboards that engineers can rely on
- Design and implement metrics, applications and tools that will enable engineers by allowing them to self-serve their data insights
- Work with engineers to drive usage of your applications and tools
- Write clean and tested code that can be maintained and extended by other software engineers
- Operate and support your production applications
- Keep up to date on relevant technologies and frameworks, and propose new ones that the team could leverage
- Identify trends, invent new ways of looking at data, and get creative in order to drive improvements in both existing and future products
Job Requirement
- Degree in Statistics, Econometrics, Computer Science, Physics, or a related quantitative field
- Strong proficiency in Python, SQL
- Deep statistical skills such as utilized in A/B testing, analyzing observational data, and modeling
- Experience building data visualizations
- Experience writing software in a professional environment
- Experience with data science tools such as Pandas, Numpy, R, Matlab, Octave preferred
- Experience building data pipelines preferred
- Experience building web applications preferred
- Experience building machine learning models in a professional environment preferred
- Experience with continuous integration and continuous development preferred
- Experience in devops, i.e. Linux, Ansible, Docker, Kubernetes preferred
- Understanding of reliability concepts (Weibull, Lognormal, Exponential, etc.), life data (or survival) analysis, and reliability modeling preferred
- Understanding of distributed computing, i.e. how HDFS, Spark and Presto work preferred
- Proficient in Scala preferred
Company Introduction
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