Staff Data Analyst, Marketing
New
1
1PasswordCybersecurity / B2B SaaS
This is a remote opportunity within Canada and the US.Full-TimeSenior
SalaryUSA-based roles only: The annual base salary for this role is between $149,000 USD and $216,000 USD. Canada-based roles only: The annual base salary for this role is between $131,000 CAD and $175,000 CAD.
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Job Details
- Experience
- 7+ years in marketing analytics and data strategy within complex B2B SaaS environments
- Required Skills
- SQLSalesforceSnowflakedbtDatabricks
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.
Responsibilities
- Define how Marketing understands its own performance and influence investment decisions at the leadership level.
- Shape the data foundations that underpin AI and automation capabilities.
- Partner with Growth Marketing, Corporate Marketing, Revenue Operations, Finance, and Data Engineering to provide strategic recommendations.
- Lead attribution modernization and marketing measurement transformation initiatives.
- Own complex marketing domain work across attribution, funnel measurement, forecasting, and lifecycle analysis.
- Build trusted, governed data foundations for AI initiatives.
- Mentor analysts and raise the bar on analytical standards across cross-functional teams.
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