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What to Expect
Tesla's mission is to accelerate the world's transition to sustainable energy.
We are committed to hiring the world's best and brightest people to help make
this future a reality.
What You'll Do
Automating analyses and authoring pipelines using SQL, Python, Airflow,
Kubernetes based ETL framework
Maintaining existing data visualizations, data pipelines and dashboard
enhancement requests
Work effectively with engineers and conducting end-to-end analyses, from
data requirement gathering, to data processing and visualization using
Tableau
Acquire data from primary or secondary data sources and maintain
databases/data systems to empower operational and exploratory analysis
Monitoring key product metrics, understanding root causes of changes in
metrics
Identify, analyze, and interpret trends or patterns in complex data sets
and depict the story via dashboards and reports
Perform data quality validations to ensure data creation is as per the
business needs and expectations
Work with management to prioritize business and information needs
Follow best practices for scalability and performance, ensuring data
quality, and maintaining documentation.
Collaborate with other team members for effective knowledge transfers.
What You'll Bring
Minimum of 2-3 years of experience in a data engineering/software related
capacity
Proficient at ad-hoc analysis using SQL queries and python data analysis
packages (e.g. Pandas, Numpy)
Understanding of relational database theory and proficiency in writing,
understanding, and optimizing complex SQL code
Experience with Business Intelligence tools (e.g. Tableau) and real time
dashboard development
Software engineering fundamentals, knowledge of data structure and
algorithms
Strong communication, organizational, and analytical and problem-solving
skills
Preferred: BS/MS in Management Information Systems, Computer Science,
Engineering, Statistics, or another technical field
