Sales Data Analyst, Tesla Energy

Role overview

Tesla Energy is hiring a Sales Data Analyst to support the Business Operations function in Palo Alto, California. This position partners with the Americas Sales and Sales Operations teams to help the business deliver quarterly goals across Powerwall, Wall Connector, Solar Roof, and other Tesla Energy offerings.

The role centers on strengthening the analytics foundation used for sales decisions. That includes building and supporting production-grade data pipelines, querying databases with SQL, conducting statistical analysis and predictive modeling in Python, and turning raw data into reporting, insights, and recommendations. The position also requires close partnership with Residential Energy stakeholders, especially Sales and Sales Operations, to convert ambiguous business questions into practical outputs that support growth and execution.

In addition, the analyst will work with cross-functional groups to improve sales enablement, operational planning, executive reporting, and funnel optimization. As the reporting specialist for sales and sales operations, this person will help shape critical dashboards and analytical outputs, while also supporting global analytics work such as data mapping, validation, and quality assurance.

Key responsibilities

• Query and refine SQL in the data warehouse to support reporting, ad hoc analysis, and downstream models.
• Build production Python solutions for statistical work, predictive modeling, and feature engineering, then translate findings into business actions.
• Create and maintain data pipelines using Airflow or similar tools for both new and existing KPIs, with solid version control, code review, and documentation in shared GitHub repositories.
• Deliver accurate, timely, and useful sales reporting and analysis that supports Tesla Energy’s commercial performance against defined metrics.
• Develop, maintain, and improve core Sales and Sales Operations reports while protecting data quality as the business evolves.
• Work closely with sales, finance, planning, and other stakeholders to gather input and incorporate diverse business perspectives.
• Simplify and combine reports where possible so they are easier to use and better aligned to business needs.

Requirements

• A degree in Engineering, Science, Mathematics, Statistics, Applied Analytics, or a closely related discipline, or equivalent hands-on experience.
• At least 2 years of experience working with SQL and other query languages.
• At least 1 year of experience using Python in a production setting; exposure to libraries such as Pandas, NumPy, SciPy, and Matplotlib is preferred.
• Familiarity with data processing platforms such as Apache Airflow.
• At least 2 years of experience with BI and visualization tools such as Tableau and Microsoft BI, plus advanced Excel modeling skills.
• At least 2 years of business analytics experience, with prior exposure to Sales, Sales Operations, or Logistics Operations strongly preferred.
• Strong written and verbal communication skills for working with a broad range of stakeholders.

Compensation and benefits

The expected base salary for this role is $92,000 to $138,000 per year, plus cash and stock awards and benefits. Final pay may differ based on market location, role-related knowledge, skills, and experience. Total compensation may also include additional elements depending on the offer.

Full-time employees are eligible for benefits starting on day 1 of employment. These include medical coverage with some $0 payroll deduction plan options, family-building and fertility support, adoption and surrogacy benefits, dental coverage including orthodontics, vision coverage with some $0 paycheck contribution options, HSA employer contributions when enrolled in a high-deductible medical plan, and healthcare and dependent care FSAs.

Additional benefits include a 401(k) with employer match, employee stock purchase plans, basic life and AD&D insurance, short- and long-term disability coverage with a 90-day waiting period, an employee assistance program, sick and vacation time, paid holidays, back-up childcare, parenting support resources, voluntary insurance and legal protection options, weight loss and tobacco cessation programs, the Tesla Babies program, commuter benefits, and employee discounts and perks.

Additional notes

This is a full-time onsite position based in Palo Alto, CA.