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Tesla Data Analyst Jobs (NOW HIRING)

Tesla

Lead Material Handler, Energy

Fort Lauderdale, FL · On-site

$16 - $19.25/hr

Current Tesla Production Control experience preferred * Strong organizational, analytical, and ... and other data entry tools preferred * Positive, team-oriented attitude with a track record of ...

Tesla

Lead Material Handler, Energy

Tracy, CA · On-site

$25/hr

Current Tesla Production Control experience preferred * Strong organizational, analytical, and ... and other data entry tools preferred * Positive, team-oriented attitude with a track record of ...

Qcells

Manager, QSS Asset Data

San Francisco, CA · On-site

$100K - $150K/yr

... analytics (TPO experience preferred). * Proficiency with solar monitoring platforms such as Enphase, SolarEdge, and Tesla. * Advanced skills in Microsoft Excel and Power BI; experience with SQL ...

Qcells

Manager, QSS Asset Data

San Francisco, CA

$100K - $150K/yr

... analytics (TPO experience preferred). * Proficiency with solar monitoring platforms such as Enphase, SolarEdge, and Tesla. * Advanced skills in Microsoft Excel and Power BI; experience with SQL ...

Otter.ai

Data Scientist, Product

Mountain View, CA · On-site +1

$155K - $185K/yr

You will leverage your advanced data analytics skills and deep understanding of our products and ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

Otter.ai

Data Scientist, Product

Mountain View, CA · On-site

$155K - $185K/yr

You will leverage your advanced data analytics skills and deep understanding of our products and ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

Cognition

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our ... Own business reporting: datasets, dashboards, metrics, and self-serve analytics * Ensure data ...

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Tesla Data Analyst information

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$136K

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:
What job categories do people searching Tesla Data Analyst jobs look for? The top searched job categories for Tesla Data Analyst jobs are:
Tesla Data Analyst jobs near you
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.
Staff Software Engineer, Distributed Systems, Generative AI

Staff Software Engineer, Distributed Systems, Generative AI

Tesla

Fremont, CA • On-site

Full-time

Posted 9 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 seeking a Staff Software Engineer on the Bottlerocket team to architect and operate the distributed backend infrastructure for their internal Generative AI platform. The role involves designing and building production distributed systems, owning backend services, and driving architectural decisions while mentoring other engineers.
Responsibilities:
• Design, build, and operate production distributed systems that handle high-throughput, low-latency workloads at scale
• Own backend services end-to-end: from API design and data modeling through deployment, observability, and incident response
• Drive architectural decisions for complex systems involving event streaming, caching, service mesh, and workload orchestration
• Partner with ML engineers, product teams, and infrastructure teams to translate requirements into robust, scalable backend solutions
• Mentor engineers across the team, establish engineering best practices, and raise the bar for code quality and system design
• Lead capacity planning and reliability engineering to maintain high availability for business-critical services
Qualifications:
Required:
• 8+ years of experience building and operating production distributed systems
• Strong, production-level proficiency in Go and Python
• Deep expertise with Kubernetes, Docker, and container orchestration in production environments
• Hands-on experience with message brokers and event streaming systems (Kafka, NATS, or similar)
• Solid background with relational and analytical databases (Postgres, ClickHouse, or similar) and caching layers (Redis)
• Strong understanding of networking fundamentals: HTTP/2, gRPC, WebSockets, TLS, and reverse proxy architectures (Envoy, NGINX)
• Experience with observability stacks: Prometheus, Grafana, structured logging, and distributed tracing
• Proven experience with CI/CD pipelines, GitOps workflows, and infrastructure-as-code (Helm, Terraform)
• Proficient in leveraging AI coding tools (e.g., Claude Code, GitHub Copilot, Cursor) to accelerate development
• Demonstrated ability to navigate ambiguity, make pragmatic tradeoffs, and deliver in environments where standards are still emerging as well as a problem-solving mindset with strong attention to detail and a preference for simple, correct solutions over clever ones
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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