Data Analyst, Commercial Energy Service Operations
About the role
What To Expect Tesla is committed to having industry-leading uptime and service for our deployed fleet of residential, commercial, and industrial utility scale solar, storage and charging systems. Commercial Service Operations Team is responsible for proactively monitoring the solar, storage and charging fleets for contractual compliance, operational challenges and ensure Service is delivered to our customers successfully. As a Data Analyst on the Commercial Energy Service Operations team, you will have end-to-end ownership of data analytics projects related to (1) tracking successful delivery of our contractual obligations, (2) automating the required analysis to ensure compliance across the fleet and (3) improving the existing code base to ensure scalability and reliability of the data for decision making and process improvements. You will execute on all aspects of the project, i.e., those involving review of contracts and ticket system data, as well as those involving scripting and database management. The ideal candidate would enjoy solving problems using data, have relentless curiosity, not be afraid to solve cross-functional problems and have a strong sense of ownership.
Responsibilities
- Develop reports and visualizations to support business intelligence and reporting, data warehousing, and integration with enterprise applications
- Develop models to track performance of Energy Products relative to their contractual obligations, project milestones and product lifecycles
- Work closely with the subject matter experts to define and develop key performance indicators, measuring system performance and service outcomes
- Develop and own user-centric data analytical dashboards displaying above metrics and seek continuous feedback from users to find areas of improvement
- Conduct ad-hoc quantitative analyses to solve complex problems; formulate and refine hypotheses with stakeholders, collect and manipulate data, and draw compelling, actionable conclusions
- Test and validate results to ensure accuracy and present results to the team and broader Energy Service organization
Requirements
- Evidence of exceptional ability, especially in navigating ambiguous environments
- Proficient with SQL, Python, ticketing systems (Jira) and version control (Git)
- 2-5 years of experience in data-intensive roles
- Highly collaborative, team oriented, and