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Tesla Power Bi Jobs (NOW HIRING)

Responsibilities : • Write and optimize SQL against the data warehouse to power reporting, ad hoc ... BI, and advanced MS Excel modeling • 2+ years performing business analytics, with prior ...

New

... Tesla, Northvolt, Apple, Powin, Enovix, Zipline, Solid Power, and Fluence. We are backed by ... SQL and/or BI tools (Tableau/Power BI/Looker), and experience with manufacturing cost drivers ...

Manager, QSS Asset Data

San Francisco, CA · On-site

$100K - $150K/yr

Proficiency with solar monitoring platforms such as Enphase, SolarEdge, and Tesla. * Advanced skills in Microsoft Excel and Power BI; experience with SQL, Python, Tableau, or Snowflake is a plus.

Proficiency with solar monitoring platforms such as Enphase, SolarEdge, and Tesla. * Advanced skills in Microsoft Excel and Power BI; experience with SQL, Python, Tableau, or Snowflake is a plus.

... powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla ... Salaried bi-weekly pay schedule * Ample on-site parking & pre-tax commuter benefits * Catered on ...

... powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla ... Salaried bi-weekly pay schedule * Ample on-site parking & pre-tax commuter benefits * Catered on ...

... powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla ... Salaried bi-weekly pay schedule * Ample on-site parking & pre-tax commuter benefits * Catered on ...

IT Intern (Fall 2026)

Somerville, MA · On-site

$1.0K - $1.2K/wk

... powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla ... The bi-weekly pay range for this role is: $1,025-$1,275 USD

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Tesla Power Bi information

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How much do tesla power bi jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for tesla power bi in the United States is $50.86, according to ZipRecruiter salary data. Most workers in this role earn between $38.94 and $58.65 per hour, depending on experience, location, and employer.

What is the difference between Tesla Power Bi vs Data Analyst?

AspectTesla Power BiData Analyst
Required SkillsProficiency in Power BI, data visualization, SQLData visualization, SQL, Excel, statistical analysis
Work EnvironmentTech-focused, automotive industry, cross-functional teamsVarious industries, corporate or consulting settings
CertificationsPower BI certifications, data analysis certificationsData analysis certifications, SQL certifications

Tesla Power Bi specialists focus on creating dashboards and visual reports specifically using Power BI within Tesla's automotive and energy sectors. Data Analysts have a broader scope, working across industries to analyze data, generate insights, and support decision-making. While both roles require data visualization skills and some certifications, Tesla Power Bi roles are more specialized in Power BI tools within Tesla's environment, whereas Data Analysts often have a wider range of analytical tools and industry applications.

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

To excel as a Power BI Analyst at Tesla, you need strong analytical skills, experience in data visualization, and proficiency with Power BI, often supported by a degree in computer science, statistics, or a related field. Familiarity with SQL, DAX, and data modeling tools, as well as Power BI certification, is highly beneficial. Excellent problem-solving abilities, attention to detail, and effective communication help you present insights clearly to stakeholders. These skills are essential for transforming complex data into actionable business intelligence that supports Tesla’s data-driven decision-making.

What is a Tesla Power BI analyst?

A Tesla Power BI analyst is a professional who specializes in using Microsoft Power BI to analyze, visualize, and report data for Tesla. They gather data from various sources within Tesla, create dashboards and reports, and provide insights that help drive business decisions. The role often involves collaborating with different teams, ensuring data accuracy, and making complex data more accessible and understandable for stakeholders. Power BI analysts at Tesla play a key role in shaping data-driven strategies and improving operational efficiency across the company.

How does a Power BI Analyst at Tesla typically collaborate with other departments to drive data-driven decision-making?

As a Power BI Analyst at Tesla, you will frequently collaborate with various departments such as engineering, operations, finance, and manufacturing to understand their data needs and translate them into actionable dashboards and reports. You'll participate in cross-functional meetings to gather requirements, ensure accurate data integration, and provide insights that support strategic decisions. Building strong relationships and maintaining clear communication are key, as you'll often be tasked with explaining complex data visualizations to non-technical stakeholders. This role offers significant opportunities to influence business outcomes and gain exposure to multiple facets of Tesla's operations.
Sales Data Analyst, Tesla Energy

Sales Data Analyst, Tesla Energy

Tesla

Palo Alto, CA • On-site

Full-time

Posted 20 hours ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 666 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

Job Summary:
Tesla is seeking a driven and experienced Sales Data Analyst to join the Tesla Energy Business Operations team, supporting the Americas Sales and Sales Operations teams. The role involves maintaining the analytics stack, building data pipelines, performing statistical analyses, and providing actionable insights to drive business growth.
Responsibilities:
• Write and optimize SQL against the data warehouse to power reporting, ad hoc analysis, and downstream models
• Develop production Python code for statistical analysis, predictive modeling, and feature engineering; translate quantitative findings into business insights and recommendations
• Design, build, and maintain data pipelines (Airflow or equivalent) for existing and new KPIs, with proper version control, code review, and documentation in shared GitHub repos
• Develop and deliver timely, accurate, and actionable sales analysis and reporting to inform Tesla Energy's commercial performance, aligning with established criteria and metrics
• Design, develop, and maintain key Sales and Sales Ops reports, ensuring data integrity and proactively improving report formats as the Energy business model evolves
• Collaborate with cross-functional stakeholders, including sales teams, finance, and planning, to gather and incorporate diverse inputs and perspectives
• Streamline and consolidate reports to enhance usability and practicality, ensuring that each report meets specific business needs and user requirements
Qualifications:
Required:
• Degree in Engineering, Science, Mathematics, Statistics, Applied Analytics , or related field, or equivalent experience
• 2+ years of SQL and querying languages
• 1+ years of Python in a production environment with familiarity of data libraries such as Pandas, Numpy, Scipy, and Matplotlib preferred
• Familiarity with data processing frameworks such as Apache Airflow
• 2+ years with BI/visualization tools such as Tableau and Microsoft BI, and advanced MS Excel modeling
• 2+ years performing business analytics, with prior experience working with Sales, Sales Ops, Logistic Ops strongly preferred
• Strong base in written and verbal communication with a wide audience of stakeholders
Preferred:
• 1+ years of Python in a production environment with familiarity of data libraries such as Pandas, Numpy, Scipy, and Matplotlib
• 2+ years performing business analytics, with prior experience working with Sales, Sales Ops, Logistic Ops strongly 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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