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Tesla Data Analyst Jobs (NOW HIRING)

Tesla

Technical Project Manager, HR

Austin, TX · On-site

... data visualization tools to support analysis, automation, and system troubleshooting is a plus Company : Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and ...

Tesla

Industrial Security Engineer

Fremont, CA · On-site

Tesla is a company focused on innovation in transportation and energy solutions, and they are ... providing root cause analysis and provide remediation solutions or preventative measures ...

Tesla

Lead Material Handler, Energy

Fort Lauderdale, FL

$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 ...

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 · 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 ...

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 ...

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

Seattle, WA · 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 ...

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Tesla Data Analyst information

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$34K

$82.6K

$136K

How much do tesla data analyst jobs pay per year?

As of Jun 7, 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 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:
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Tesla Data Analyst jobs near you
Infographic showing various Tesla Data Analyst job openings in the United States as of May 2026, with employment types broken down into 9% Full Time, 37% Part Time, 27% Temporary, and 27% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Technical Project Manager, HR

Technical Project Manager, HR

Tesla

Austin, TX • On-site

Full-time

Posted 3 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers

Job description

Job Summary:
Tesla is seeking a strategic and results-driven Technical Program Manager to join their People Organization, where you'll optimize and scale AI tools to transform the employee experience. This role involves driving initiatives that deploy AI to improve HR processes and enhance data visibility, while serving as a technical bridge between HR stakeholders and AI engineers.
Responsibilities:
• Configure, test, and deploy LLM-powered features and agent tools, in partnership with IT/Engineering teams, ensuring scalability, reliability, and high performance, while establishing best practices for AI system usage across the People team
• Partner strategically with ML product leaders and engineering teams to identify organizational bottlenecks, shape the product roadmap, and architect scalable solutions
• Translate HR business requirements into technical solutions in collaboration with engineering and systems teams, proactively identifying opportunities to apply machine learnings towards the optimization of HR processes, systems, and analytics
• Execute A/B testing frameworks and analyze conversation data, user feedback, and system metrics to drive continuous improvement of AI tool accuracy and user experience
• Partner with HR, legal, and other subject matter experts to curate, maintain, and govern content that trains our AI systems, ensuring accuracy, consistency, and appropriate segmentation
• Create and maintain program roadmaps, timelines, and milestone tracking, while coordinating cross-functional workstreams. Track risks, dependencies, and blockers across initiatives; maintain clear stakeholder communication through regular status updates, metrics, and escalations
• Document workflows, create and maintain SOPs, and establish best practices for AI system configuration and content management
Qualifications:
Required:
• Degree in a quantitative or technical field, such as Computer Science, Engineering, or Machine Learning, or equivalent experience
• 1-3 years of experience in project/program management, operations, or technical coordination, with a preferred focus on enterprise HR technology, AI implementation, and/or process improvement
• Demonstrated proficiency with AI/ML tools and platforms, including comfort working with content management systems, knowledge base platforms, generative AI systems, prompt engineering, or LLM-based applications
• Strong analytical and problem-solving skills with the ability to interpret complex data, evaluate system performance, and make data-driven recommendations
• Excellent organizational and communication skills, with the ability to manage multiple projects simultaneously and translate technical concepts for non-technical stakeholders
• Strong grasp of fundamental computer science concepts. Experience with backend languages, frontend frameworks, or creating and shipping full-stack applications is a plus
• Ability to write scripts or queries and build data visualization tools to support analysis, automation, and system troubleshooting is a plus
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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