Responsibilities

• Insights & executive reporting
• Partner closely with the corporate analytics function and act as the liaison between marketing leadership and the Analytics team to build actionable and scalable reporting
• Own the weekly and monthly business review process: prepare data and partner with leadership on the narrative
• Conduct ad hoc deep dives to diagnose pipeline trends, campaign anomalies, or funnel conversion issues and proactively surface recommendations
• Support quarterly planning and annual budgeting with data-driven recommendations on channel mix and investment levels
• Design and maintain models to quantify the impact of marketing programs across the buyer journey
• Own marketing ROI analysis: calculate and report on cost-per-lead, cost-per-opportunity, CAC by channel, and marketing efficiency ratios
• Scope dashboards for opportunity areas and partner with analytics team to make them a reality
• Develop segment- and region-level views of marketing performance to support resource allocation decisions
• Analyze marketing experiments (A/B tests on landing pages, email sequences, ad creative, offers) to drive continuous improvement

Requirements

• 5-8 years of experience in marketing analytics, GTM analytics, or business intelligence within a B2B SaaS environment
• Strong SQL skills and hands-on experience working with cloud data warehouses (Snowflake, BigQuery, or Redshift)
• Proficiency with BI and visualization tools (Looker experience preferred) and the ability to build executive-ready dashboards and reporting
• Working knowledge of Salesforce (reports, dashboards, opportunity data) and marketing automation platforms (Marketo preferred)
• Deep understanding of B2B SaaS performance metrics, including pipeline, ACV, conversion rates, velocity, marketing-sourced vs. influenced pipeline, and attribution concepts
• Strong business judgment and a clear point of view, with the confidence to challenge assumptions and bring data-backed perspectives to senior stakeholders
• Demonstrated ability to independently structure ambiguous problems, move quickly, and drive them to clear, actionable recommendations
• Comfort operating in a fast-changing environment, where definitions, targets, and operating models evolve, and the ability to balance speed with analytical rigor

Preferred

• Python or R proficiency for statistical analysis, automation, or building lightweight models
• Experience with multi-touch attribution platforms (Bizible/Marketo)
• Exposure to experiment design, significance testing, or applied statistics in a marketing context
• Experience with predictive modeling: LTV estimation, propensity scoring, or cohort analysis applied to marketing audiences
• Familiarity with the modern data stack (Fivetran, dbt, Snowflake, Looker)
• Background in data infrastructure, developer tools, or analytics software industries

Benefits

• 100% employer-paid medical insurance
• Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
• RSU stock grants
• Professional development and training opportunities
• Company virtual happy hours, free food, and fun team-building activities
• Monthly cell phone stipend
• Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.