What To Expect
Data is deeply embedded in the product, engineering, quality, and customer experience culture at Tesla. As a Senior Data Analyst, you will help to identify, distill, and resolve issues that affect customer experience, product/process throughput, and quality within the residential energy business. By using data and reporting metrics to identify potential problems, you will drive change across the organization by assisting teams with data-driven insights. An ideal candidate is skilled at data analytics, reporting, and data processing concepts and is naturally motivated to seek out and fix problems in a methodical way.
What You'll Do
Define and own “source of truth” metrics for executive reporting for use in assessing operational performance and qualityInterface with business leaders to receive and distill requirements – allowing them to make confident and effective decisions via thorough analytical support and reportingCreate and maintain ETLs – identify data sources, write custom SQL queries, validate data against source applications, and make modifications according to new requirementsCoordinate with data engineering teams to establish data pipelines and verify data integrityCreate and maintain business-critical reporting suites using data visualization toolsAutomate repetitive tasks with Python and SQLWrite clean, tested code that can be maintained and extended upon by other analystsWork with quality and process improvement teams to provide key analytical support in identifying process and software improvementsMaintain documentation and support aligned business units and their core applicationsKeep up to date with relevant technologies and frameworks for identifying trends and crafting new ways of looking at dataEnsure safe and secure data handling practices by partnering with key data protection, privacy, and information security leaders
What You'll Bring
Bachelor’s Degree in Engineering, Mathematics, Computer Science, or equivalent4+ years of experience in business analytics or data management experienceExpert SQL user – can write complex custom SQL queries using advanced aggregation functions and optimization techniquesProficient Python user – can write efficient ETLs to establish critical data pipelinesProficiency in using data visualization tools (i.e., Tableau, PowerBI, etc.)Firm grasp of database management and database performance conceptsDemonstrated ability to provide insights and conclusions from large, dense datasetsExcellent interpersonal communication and collaboration skills – and the ability to operate in a highly cross-functional environmentSelf-motivated, fast learner capable of first principle thinking in an ever-changing data landscapeDetail-oriented with excellent organizational skillsMaster’s Degree in Data or Business Analytics is a plus1 + years of experience with renewable energy generation systems
Benefits
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) LGBTQ+ care concierge services 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits Company paid Basic Life, AD&D, short-term and long-term disability insurance Employee Assistance Program Sick and Vacation time (Flex time for salary positions), and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Weight Loss and Tobacco Cessation Programs Tesla Babies program Commuter benefits Employee discounts and perks program
Tesla
