Staff Data Analyst, Marketing

1Password is looking for a Staff Data Analyst to be the senior analytical partner to its Marketing organization. You'll define how Marketing understands its own performance, influence investment decisions at the leadership level, and shape the data foundations that underpin the company's AI and automation capabilities. Sitting within a centralized analytics function, you'll work closely with Growth Marketing, Corporate Marketing, Revenue Operations, Finance, and Data Engineering, bringing strategic thinking, deep marketing expertise, and the ability to turn complex data into clear recommendations that move the business forward.

Responsibilities

• Shape the data foundations, measurement frameworks, and analytical standards that Marketing and 1Password's broader AI capabilities will depend on, in a greenfield setting.
• Partner deeply with Marketing leadership across planning cycles, investment decisions, and performance measurement.
• Own complex marketing domain work across attribution, funnel measurement, forecasting, and lifecycle analysis in a fast-moving SaaS environment.
• Lead how AI gets applied in marketing analytics, building the trusted, governed data foundations that every AI initiative will depend on.
• Collaborate cross-functionally with Marketing, Finance, RevOps, Product, and Data teams, mentoring analysts and raising the bar on analytical standards.
• Thrive with ownership and ambiguity: this is a role for someone who builds the playbook, not someone who follows one.

Qualifications

• 7+ years in marketing analytics and data strategy within complex B2B SaaS environments.
• Deep marketing domain expertise, including attribution, funnel analysis, forecasting, KPI development, and lifecycle measurement.
• Proven experience partnering directly with senior marketing leaders and executive stakeholders.
• Experience leading attribution modernization or marketing measurement transformation initiatives.
• Familiarity with AI-assisted analytics, statistical modeling, or predictive techniques in a business context.
• Advanced SQL and strong experience with large-scale analytical datasets.
• 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 marketing and GTM platforms: Salesforce, Marketo, GA4, and related martech.