Performance Analyst Intern – Campaign Analytics

Job Description

Internship, Analyst, Digital Communication (Fall 2026) | Tesla

The Tone:
This is an internship at Tesla, located on-site. Tesla is a company that builds electric vehicles, energy storage solutions, and related products, always pushing for innovation. This role is crucial because it directly supports the optimization of digital communication campaigns and develops segmentation strategies, translating complex data into actionable insights that influence real business decisions for the company. You will contribute to performance analytics and automation within Tesla’s communication ecosystem.

The TL;DR
• Role: Internship
• Type: Full-time
• Location: In-person, on-site
• Pay: $20.91–$38.70 hourly
• Mission: This person will optimize engagement and downstream conversion across Tesla’s communication ecosystem by analyzing large datasets and translating findings into actionable insights.
• Tech Stack: SQL, Python (preferred), Tableau (preferred), Power BI (preferred)

What You’ll Actually Do
• Analysis: Proactively identify opportunities to improve engagement and downstream conversion through data analysis.
• Querying: Write SQL queries to analyze campaign performance across regions, countries, customer segments, and lifecycle stages.
• Reporting: Build automated reports and operationalize insights into repeatable frameworks to track business impact from campaigns.
• Targeting: Develop and execute advanced targeting logic based on behavioral and lifecycle criteria to generate complex send lists.
• Partnership: Partner with ML teams to support feature validation and measure the performance of model-driven cohorts against control groups.

The Must-Haves
• Background: Student actively enrolled in an academic program, demonstrating strong analytical skills and a self-driven approach.
• Experience: Experience working with large datasets from internships, academics, or research.
• Skills: Strong SQL skills including the ability to independently write complex queries, capability to translate analysis into clear insights and recommendations, and comfort working with ambiguity while defining structured approaches.
• Bonus: Experience with A/B testing or experimentation frameworks, familiarity with Python or data visualization tools, interest in personalization, lifecycle communications, or ML applications, and experience working cross-functionally.