About the role
1Password is growing. We’ve surpassed $400M 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.
As part of 1Password’s Finance Analytics team, you’ll help build trusted financial data foundations and turn complex business data into clear insights for Finance, Sales,…
Do you fit?
Experience in analytics or a related data role, with proficiency in SQL, including joins, common table expressions (CTEs), window functions, and analysis of large datasets.
Understanding of data modeling practices, including fact and dimension tables, star schemas, and related approaches to organizing reliable data.
Ability to translate stakeholder questions into clear analytical deliverables, gather requirements, and improve dashboards based on feedback.
Strong diagnostic and problem-solving skills, sound judgment, and careful attention to detail.
Experience working with Finance, Sales, or Go To Market (GTM) data is a plus, especially in a Software as a Service (SaaS) environment, with familiarity with metrics such as annual recurring revenue (ARR), retention, subscriptions, or customer cohorts.
Experience with BI or AI tools such as Hex, Claude Code, Cursor, or similar platforms is a plus; exposure to dbt and enterprise data sources such as Salesforce, Stripe, or NetSuite is also valuable.
What you'll own
Build and iterate on interactive dashboards in Hex that help stakeholders explore financial and business performance.
Translate business questions into self-serve reporting and actionable analysis across ARR, paying customer accounts, retention, subscriptions, and related metrics.
Contribute to trusted data models that support new pricing approaches, product lines, and evolving business models.
Support month-end, quarter-end, and financial reporting cycles by investigating variances, identifying drivers, and explaining why results changed.
Automate recurring manual and spreadsheet-based tasks using AI skills and workflows, helping teams spend more time on analysis and decision-making.
Partner with Analytics Engineering to productionize reporting sources, improve data quality, and maintain clear metric definitions.
Present your work to stakeholders, incorporate feedback, and collaborate with Finance, Sales, Marketing, RevOps, and Data and Analytics teams.
Benefits & perks
Sound like you?
Negotiable · 1Password
On 1Password's website · ~2 minutes
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