Senior Data Analyst, Enterprise

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.

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.

• 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, or similar)

• Comfort in modern cloud data ecosystems: Snowflake, Databricks, dbt

• Experience working with GTM and customer platforms such as Salesforce and a CS platform (Gainsight, or similar). Familiarity with product analytics tools (Amplitude, Segment, or similar) is a plus

• The opportunity to do meaningful analytics work across adoption, retention, expansion, and digital success in a fast-moving, product-led SaaS environment

• Close partnership with Customer Success stakeholders and a direct line to leadership on the growth levers that matter most, contributing to how the organization measures performance and makes day-to-day decisions

• Involvement in building the data foundations and analytical standards that Customer Success and 1Password’s broader AI capabilities will depend on

• Exposure to how AI gets applied in customer analytics, including Generative BI and AI-assisted workflows across forecasting, anomaly detection, and insight generation

• Cross-functional collaboration across Customer Success, Product, Growth, Marketing, Finance, RevOps, and Data teams

• An environment where there’s a lot to build and your contributions will have real impact, ideal for someone who is eager to grow, take ownership, and make their mark

USA-based roles only: The annual base salary for this role is between $122,000 USD and $171,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.

Canada-based roles only: The annual base salary for this role is between $105,000 CAD and $147,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.

1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.

Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.

Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.

Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.

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