Data Analyst, Product

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $95k - $133k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📉 Data Analyst

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1Password

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2009

🔒 Cybersecurity

☁️ SaaS

⚡ Productivity

💰 $620M Series C on 2022-01

Cybersecurity • SaaS • Productivity

1Password is a leading password management and cybersecurity company that offers solutions for both individual and business customers to securely store and manage passwords, secrets, and sensitive information. With features like extended access management (XAM), 1Password empowers users to manage access to every application and web account, ensuring security across all devices with alerts for possible breaches. Trusted by over 150,000 businesses, 1Password provides comprehensive security solutions that enhance productivity by enabling easy and secure sharing of credentials and managing permissions, while maintaining high visibility and control. Their services cater to enterprises and families, providing protection from bad actors in today's SaaS-centric hybrid work environment.

📋 Description

• analyze how our customers experience 1Password with the Analytics team • work closely with senior analysts and cross-functional partners across Product, Engineering, and Design • support feature measurement, build reports, and help the business make data-informed decisions • learn alongside experienced practitioners and develop a foundation in analytics

🎯 Requirements

• 2+ years of experience working with data in an analytics, BI, or product context • Working knowledge of SQL, with a growing ability to write and troubleshoot queries independently • Familiarity with clickstream and behavioral event tracking tools such as Amplitude or Mixpanel • Experience building or contributing to dashboards in a BI tool (Looker, Tableau, Power BI, or similar) • A developing ability to conduct, interpret, and communicate diagnostic analysis • Some exposure to A/B or A/A testing concepts and how they're used to measure product changes • Attention to detail and good instincts around data quality • Able to clearly communicate progress, blockers, and findings to teammates and stakeholders • Comfortable seeking out help, asking clarifying questions, and partnering with others to solve problems • Nice to have: beginner-level Python or R, familiarity with event taxonomy or instrumentation design, exposure to SaaS or Enterprise product environments • Nice to have: Familiarity with modern AI or BI tools (Omni, Claude, Dust, Hex, or similar)

🏖️ Benefits

• health, dental, 401k and many others • generous paid time off • equity grant • participation in our incentive programs