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Tesla Data Analyst Jobs (NOW HIRING)

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$145K - $191K/yr

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Tesla Data Analyst information

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$34K

$82.6K

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How much do tesla data analyst jobs pay per year?

As of Jul 23, 2026, the average yearly pay for tesla data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Tesla Data Analyst, and why are they important?

To thrive as a Tesla Data Analyst, you need strong analytical skills, a background in statistics or data science, and experience with data modeling, typically supported by a relevant degree. Proficiency with tools like SQL, Python, Tableau, and experience with big data platforms or cloud analytics systems is often required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you interpret and present complex findings to stakeholders. These skills are crucial for driving data-informed decisions, optimizing processes, and supporting Tesla’s innovative projects.

How much do Tesla data analysts make?

Tesla data analysts typically earn between $70,000 and $100,000 annually, depending on experience, location, and education. Entry-level positions may start lower, while experienced analysts with specialized skills in data visualization and SQL can earn higher salaries. Compensation often includes benefits and performance bonuses.

Does Tesla hire data analysts?

Tesla hires data analysts to support various departments such as manufacturing, energy, and vehicle development. These roles typically require skills in data analysis tools like SQL, Python, or Excel, and often involve working with large datasets to improve processes and decision-making.

Is a data analyst still in demand?

Data analysts remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in data visualization, SQL, and statistical analysis are valuable, and the role often requires proficiency with tools like Excel, Tableau, or Python. The demand is expected to continue growing as organizations prioritize data insights for strategic growth.

Is it hard to get hired at Tesla?

Getting hired as a Tesla Data Analyst can be competitive, as the company seeks candidates with strong analytical skills, experience with data tools like SQL and Python, and relevant industry knowledge. The hiring process typically involves multiple interviews, technical assessments, and a review of prior experience. Candidates who demonstrate technical proficiency and a good fit with Tesla's innovative environment tend to have better chances.

How does a Tesla Data Analyst typically collaborate with engineering and operations teams?

As a Tesla Data Analyst, collaboration with engineering and operations teams is integral to daily work. Analysts often partner with engineers to define data requirements, interpret results, and develop actionable insights that drive process improvements or product innovation. They may also work closely with operations teams to identify inefficiencies and monitor performance metrics. Regular meetings, dashboards, and cross-functional projects are common ways analysts stay aligned and ensure their analyses effectively support business goals.

What does a Tesla Data Analyst do?

A Tesla Data Analyst is responsible for collecting, analyzing, and interpreting large sets of data to support business decisions across various departments, such as manufacturing, energy, or vehicle development. They use statistical tools and data visualization techniques to identify trends, assess performance, and provide actionable insights. Their work helps Tesla optimize processes, improve products, and enhance customer experiences. Data Analysts at Tesla often collaborate with engineers, product managers, and executives to turn data into strategic decisions.
More about Tesla Data Analyst jobs
What cities are hiring for Tesla Data Analyst jobs? Cities with the most Tesla Data Analyst job openings:
What are the most commonly searched types of Tesla Data Analyst jobs? The most popular types of Tesla Data Analyst jobs are:
What states have the most Tesla Data Analyst jobs? States with the most job openings for Tesla Data Analyst jobs include:
Infographic showing various Tesla Data Analyst job openings in the United States as of July 2026, with employment types broken down into 65% Full Time, 4% Part Time, and 31% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Sr. Full Stack Software Engineer, Robotaxi Pricing, Digital Experience

Sr. Full Stack Software Engineer, Robotaxi Pricing, Digital Experience

Tesla

Fremont, CA • On-site

Full-time

Posted 17 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 678 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

Job Summary:
Tesla is a leading company in sustainable energy solutions, and they are seeking a Senior Full Stack Software Engineer to enhance pricing systems for their Robotaxi business. The role involves designing and developing applications, managing pricing models, and leveraging AI for decision-making to support dynamic pricing strategies.
Responsibilities:
• Design, develop, and support applications and systems including building pricing tools for Robotaxi ride services, vehicles, Megapack, energy products, and service parts
• Design and manage pricing models and algorithms to implement systems that support dynamic and surge pricing, incorporating variables such as base costs, taxes, government fees, tolls, market demand, regional variations, and location specific factors
• Develop workflows that leverage Large Language Models (LLMs) and agentic AI to improve decision-making, automate planning, and adapt to real-time operational constraints like market demand or traffic conditions
• Build data analytics pipelines to analyze ride sessions, costs, and competitors' prices to design recommendation systems for optimized pricing strategies
• Write clean, maintainable, performant, and well-tested code
• Write unit tests and integration tests and collaborate with QA to coordinate timely regression testing for new features
• Monitor live system metrics, respond to alerts, and troubleshoot production issues
• Investigate and understand existing system technical functionality and propose technical improvements
• Communicate changes in project estimates, dependencies, and blockers with affected stakeholders quickly
• Work with technologies such as React, JavaScript, Python, Node.js, MySQL, OpenSearch/Elasticsearch, Redis, GraphQL, Docker, and Kubernetes to build robust, scalable systems
Qualifications:
Required:
• Degree in Computer Science, Engineering, Physics, Math, proof of exceptional skills in related field, or equivalent experience
• 5 years of related practical experience in software engineering, with a proven track record in full stack development
• Proficiency in JavaScript (ES5/6), HTML, CSS, and the React framework for building intuitive frontend interfaces
• Experience with microservices or service-oriented architecture
• Expertise with databases, including MySQL for structured data management and OpenSearch/Elasticsearch for search, indexing, and analytics
• Good unit testing and integration testing practices
• Flexible and motivated self-starter with excellent communication skills with a positive attitude and a strong desire to improve efficiency and scalability
• Experience writing code in programming languages like JavaScript, Python, or Go
• Familiarity with AI integration, including LLMs for tasks like generating pricing insights and agentic AI workflows for adaptive user experiences
Preferred:
• Experience in the automotive, energy, or ride-hailing industries preferred
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

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