Senior Data Analyst, Enterprise

Before you apply

Job source

Ats

Applying on

jobs.ashbyhq.com

Workplace

Fully remote

US state

Nationwide remote

Category

IT

Link last checked

7 hours ago

Posted

3 days ago

Closes

No stated closing date

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About the role

1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We’re looking for a Senior Data Analyst to be a key analytical partner to our Customer Success organization and our product-led, digital customer journey. You’ll shape how the business understands what drives adoption, retention, and expansion, analyzing how customers move from sign-up to activation, engagement, conversion, expansion, and renewal, and turning that into clear, actionable insight on the growth levers leadership can act on. Sitting within our centralized analytics function, you’ll work closely with Customer Success, Product, Growth, RevOps, and Data Engineering, bringing strategic thinking, deep PLG expertise, and the ability to turn complex data into clear recommendations that move the business forward. You’ll help define how digital and scaled success programs are measured, size opportunities, show where to invest next, and help shape the data foundations that underpin our AI and automation capabilities. How we’re using AI today On the Analytics team, we're thoughtfully embedding AI into how we work with data. That looks like using AI to accelerate SQL development, pressure-test interpretations, turn complex datasets into clear executive narratives, and increasingly, building Generative BI applications that let stakeholders explore and interrogate data on their own. We approach AI the same way we approach data quality: with clear standards, human accountability at every consequential decision, and a commitment to getting it right before it influences the business. Beyond our own workflows, our role is evolving to ensure 1Password has the data foundations, governance, and structure its broader AI transformation depends on. This is a remote opportunity within Canada and the US. What we're looking for: - 5+ years in analytics within complex B2B SaaS environments, ideally in a product-led or self-serve motion. B2C or hybrid B2B/B2C experience is a plus - Strong PLG and customer lifecycle expertise, including activation, PQLs, cohort analysis, retention, churn, expansion, and growth modeling - Experience partnering with Customer Success, Product, and Growth stakeholders and translating open-ended business questions into analytical frameworks - Ability to synthesize complex analysis into clear recommendations and communicate them to senior leaders, influencing decisions and priorities - Experience with experimentation (A/B testing), statistical modeling, or predictive techniques (e.g., churn or propensity modeling) in a business context - Advanced SQL and strong experience with large-scale analytical datasets, including product usage and event data - Hands-on experience with modern AI/BI tools (Hex, Omni, Claude, Dust,

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