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Salary: USD 95,000 - 133,000 / annual
1Password is a market-leading enterprise password manager and Unified Access Management platform trusted by over 180,000 businesses, from Fortune 100 companies to innovative AI firms. The company has surpassed $400M in ARR and has been named to the Forbes Cloud 100 for four consecutive years.
As a Data Analyst on the Finance Analytics team, you will build trusted financial data foundations and transform complex business data into actionable insights for Finance, Sales, Marketing, and Revenue Operations (RevOps). You'll work with critical SaaS metrics including annual recurring revenue (ARR), retention, billing, and subscription data. The role emphasizes creating AI-enabled reporting workflows that accelerate decision-making and reliability. You will report to the Senior Manager, Financial Data Analytics.
Key responsibilities include:
- Build and iterate on interactive dashboards in Hex that enable stakeholders to explore financial and business performance
- Translate business questions into self-serve reporting and analysis across ARR, paying customer accounts, retention, subscriptions, and related metrics
- Contribute to trusted data models supporting 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 performance changes
- Automate recurring manual and spreadsheet-based tasks using AI skills and workflows, freeing teams to focus on analysis and decision-making
- Partner with Analytics Engineering to productionize reporting sources, improve data quality, and maintain clear metric definitions
- Present work to stakeholders, incorporate feedback, and collaborate across Finance, Sales, Marketing, RevOps, and Data & Analytics teams
1Password emphasizes a human-centric, security-first culture with a fast-paced, demanding environment. The company is remote-first but requires travel for in-person engagement (annual offsites, team meetings, customer/industry events). Remote work must be from your home country (US or Canada for this role).
Requirements:
- 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 in analytics or a related data role
Preferred qualifications:
- Experience working with Finance, Sales, or Go-To-Market (GTM) data, especially in a SaaS environment, with familiarity with ARR, retention, subscriptions, or customer cohorts
- Experience with BI or AI tools such as Hex, Claude Code, Cursor, or similar platforms
- Exposure to dbt and enterprise data sources such as Salesforce, Stripe, or NetSuite
