Data Analytics Intern

Job Description

Data Analytics Intern | Logitech

The Tone:
This is an internship at Logitech, with the flexibility to work remotely from most locations. Logitech creates products and empowers individuals to have a positive global impact through their contributions. This role specifically supports the Logitech Direct to Consumer (DTX) team, a rapidly growing business unit focused on optimizing the online customer journey. The intern will play a key part in developing and testing AI-powered agents, directly influencing how data is accessed and utilized across the DTX team.

The TL;DR
• Role: Internship
• Type: Seasonal
• Location: Remote
• Pay: $32–$40 hourly
• Team: Logitech Direct to Consumer (DTX) Marketing Analytics and Data team
• Mission: Create and test AI-powered agents to track performance changes across markets and channels, thereby optimizing the end-to-end consumer journey.
• Tech Stack: Python, R, SQL, Tableau, Power BI, Adobe Analytics

What You’ll Actually Do
• AI Agent Development: Design and pilot AI agents for querying Adobe Analytics data, testing natural language prompts and workflows.
• Data Automation: Help automate the tracking of changes in key marketing metrics by market and channel.
• Reporting & Visualization: Support the creation of easy-to-understand dashboards and visualizations for non-technical stakeholders.
• Insight Generation: Participate in identifying trends, opportunities, and potential issues in marketing and e-commerce data to communicate actionable recommendations.
• Cross-functional Collaboration: Join meetings with marketing, product, and analytics teams to gather requirements and demonstrate your work.

The Must-Haves
• Background: Current pursuit of a Bachelor’s or Master’s degree in Marketing, Business Analytics, Computer Science, Data Science, or a related field. This is an early career internship opportunity for Summer 2026.
• Experience: Demonstrated interest in marketing analytics, e-commerce, or digital data. The role requires comfort working with numbers, charts, and large datasets to draw meaningful insights. Basic familiarity with data analytics tools is expected, and prior experience with Adobe Analytics is a definite plus.
• Skills: Introductory experience with programming languages like Python, R, or SQL is necessary. Familiarity with data visualization tools such as Tableau or Power BI is also required. Candidates must possess clear and effective written and verbal communication abilities, including the capability to present findings through slides, reports, or discussions.
• Bonus: Curiosity about AI, language models, or chatbots is highly valued, with any prior experience in these technologies being a significant advantage. The ideal candidate will also be eager to learn new analytics skills, willing to ask questions, adapt quickly, and collaborate proactively with colleagues from various departments.