122K–171K USD / year
Senior Data Analyst, Enterprise
DataRemote — United States, Canada
Published on 2026-10-23
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About this role
Partner with Customer Success and cross-functional teams to analyze the customer lifecycle, from signup and activation through retention, expansion, and renewal. Turn complex data into recommendations that help leaders improve adoption and growth, while building reliable foundations for analytics and AI capabilities.
About the company
1Password provides secure password management solutions for individuals and businesses, helping users safely store and share their sensitive information. The company serves a diverse clientele with a range of products designed to enhance security and streamline user experience.
The team
Centralized analytics function, partnering with Customer Success, Product, Growth, RevOps, and Data Engineering.
Stack
SQLSnowflakeDatabricksdbtSalesforceGainsightAmplitudeSegment
What you'll do
- Analyze customer lifecycle metrics, including activation, conversion, retention, churn, expansion, and renewal.
- Define measurement for digital and scaled Customer Success programs and identify opportunities to invest.
- Translate open-ended stakeholder questions into analytical frameworks and actionable recommendations.
- Build and improve data foundations and analytical standards supporting Customer Success and AI capabilities.
- Use experimentation, statistical analysis, and predictive techniques to inform business decisions.
What we're looking for
- 5+ years of analytics experience in complex B2B SaaS environments.
- Strong expertise in product-led growth and customer lifecycle analytics.
- Advanced SQL skills and experience with large product-usage and event-level datasets.
- Experience partnering with Customer Success, Product, and Growth stakeholders and communicating insights to senior leaders.
- Hands-on experience with A/B testing, statistical modeling, or predictive techniques such as churn or propensity modeling.
- Familiarity with cloud data platforms and tools such as Snowflake, Databricks, or dbt.
Nice to have
- Experience in a self-serve or product-led growth environment; B2C or hybrid B2B/B2C experience.
- Experience with Salesforce, a Customer Success platform, or product analytics tools such as Amplitude or Segment.
- Hands-on experience with AI/BI tools such as Hex, Omni, Claude, or Dust.
Benefits
- Equity grant and RSU program for most employees.
- Generous paid time off.
- Health and dental benefits.
- 401(k) or RRSP retirement matching, depending on country.
- Maternity and parental leave top-up programs.
- Paid volunteer days.