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1Password

Builds password and access security tools

Senior Data Analyst - Enterprise

Data AnalysisConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years of analytics experience in complex B2B SaaS environments, ideally in a product-led or self-serve motion.
  • Strong product-led growth and customer lifecycle expertise, including activation, product-qualified leads, 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, including A/B testing, statistical modeling, or predictive techniques such as 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 artificial intelligence and business intelligence tools such as Hex, Omni, Claude, Dust, or similar.
  • Comfort with modern cloud data ecosystems, including Snowflake, Databricks, and dbt.
  • Experience with go-to-market and customer platforms such as Salesforce and a customer success platform such as Gainsight or similar.

Responsibilities

  • Serve as a key analytical partner to the Customer Success organization and the product-led digital customer journey.
  • Analyze how customers move from sign-up through activation, engagement, conversion, expansion, and renewal, and provide actionable insights on growth levers for leadership.
  • Help define how digital and scaled success programs are measured, size opportunities, identify where to invest next, and shape data foundations supporting artificial intelligence and automation capabilities.
  • Work closely with Customer Success, Product, Growth, Revenue Operations, and Data Engineering.
  • Contribute to how the organization measures performance and makes day-to-day decisions.
  • Build data foundations and analytical standards that Customer Success and broader company artificial intelligence capabilities will depend on.

Desired Qualifications

  • B2C or hybrid B2B/B2C experience.
  • Familiarity with product analytics tools such as Amplitude or Segment, or similar.
  • Exposure to artificial intelligence applications in customer analytics, including Generative BI and AI-assisted workflows across forecasting, anomaly detection, and insight generation.

About the Company

1Password

Builds password and access security tools

1Password builds password management and identity security software for individuals, families, and organizations. Its password manager stores logins, passkeys, and sensitive documents in encrypted vaults, with apps and browser extensions that generate passwords and fill them into websites. Businesses use administrative controls to set access permissions, monitor sign-ins, and automate account provisioning through integrations with their existing identity systems. The company sells subscriptions for personal accounts and teams, while developer tools retrieve credentials for applications without putting secrets directly in source code. Founded in 2005, 1Password is headquartered in Toronto, Ontario.

Company size
1,001-5,000
Company stage
Series C
Total funding
$920M
Headquarters
Toronto, Canada
Founded
2005

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