Staff Data Analyst, Marketing

🕒 July 13

🌐 United States, Canada – Remote

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💵 $149k - $216k / year

⏰ Full Time

🔴 Lead

📉 Data Analyst

🦅 H1B Visa Sponsor

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Logo of 1Password

1Password

501 - 1000 employees

Founded 2009

🔒 Cybersecurity

☁️ SaaS

⚡ Productivity

💰 $620M Series C on 2022-01

Cybersecurity • SaaS • Productivity

1Password is a leading password management and cybersecurity company that offers solutions for both individual and business customers to securely store and manage passwords, secrets, and sensitive information. With features like extended access management (XAM), 1Password empowers users to manage access to every application and web account, ensuring security across all devices with alerts for possible breaches. Trusted by over 150,000 businesses, 1Password provides comprehensive security solutions that enhance productivity by enabling easy and secure sharing of credentials and managing permissions, while maintaining high visibility and control. Their services cater to enterprises and families, providing protection from bad actors in today's SaaS-centric hybrid work environment.

📋 Description

• Define how Marketing understands its own performance • Influence investment decisions at the leadership level • Shape the data foundations that underpin our AI and automation capabilities • 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

🎯 Requirements

• 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

🏖️ Benefits

• health, dental, 401k and many others • utilization of our generous paid time off • an equity grant and, where applicable, participation in our incentive programs.

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