Data Analyst, Finance Analytics

1Password is hiring a Data Analyst for its Finance Analytics team to build trusted financial data foundations and turn business data into clear insights. The role develops dashboards and reporting across ARR, retention, billing, and subscription metrics, supports financial reporting cycles, and helps automate workflows using AI.

Responsibilities:

• 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

Requirements:

• 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