Analytics Intern – GTM Analytics

Posted 5 months ago

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Job Description

Data Intern, Enterprise Analytics – Fall 2026 | 1Password

The Tone:
This is an internship at 1Password, located remotely in Canada or the US. 1Password builds a market-leading enterprise password manager and pioneered Unified Access Management, aiming to create a safe, productive digital future by ensuring secure identities, application sign-ins, and trusted devices. This role supports the Analytics team in providing crucial insights to GTM leaders, directly contributing to improved commercial execution and data-informed decision-making across the customer lifecycle.

The TL;DR
• Role: Internship
• Type: Temporary
• Location: Remote

• Team: Analytics team, partnering with GTM leaders (Sales, Revenue Operations, Customer Success).
• Mission: Provide clear, actionable insights that improve commercial execution.
• Tech Stack: Looker, Tableau, Power BI, SQL, Python, R

What You’ll Actually Do
• Analyze: Analyze Sales, Revenue Operations, and Customer Success data to identify trends, performance gaps, and opportunities.
• Build: Build and maintain dashboards and recurring reports used by GTM stakeholders.
• Support: Support ad-hoc analyses to answer business questions and evaluate initiatives or experiments.
• Partner: Partner with analytics teammates to define metrics and ensure consistent, reliable reporting.
• Communicate: Clearly document and communicate insights to technical and non-technical audiences.

The Must-Haves
• Background: Student seeking an internship in data analytics, with an interest in business performance measurement and GTM processes.
• Experience: A willingness to take on new challenges, learn from mistakes, identify better ways of working, and collaborate as part of a team.
• Skills: Data analysis, reporting, communicating insights, partnering with stakeholders.
• Bonus: Experience working with messy or real-world datasets; familiarity with data visualization or BI tools (e.g., Looker, Tableau, Power BI); some exposure to SQL, Python, R, or another programming language for analysis; interest in GTM, Sales, or Customer Success metrics and processes; strong attention to detail and a habit of double-checking your work.

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