Senior Marketing Insights Analyst

Join Fivetran, a leading data pipeline company, as a Senior Marketing Insights Analyst. In this high-visibility role, you will be responsible for analyzing B2B marketing performance, providing insights to marketing leadership, and driving data-driven decision-making. You will own the reporting layer of the marketing measurement framework, conduct deep dives into pipeline trends, and support quarterly planning and annual budgeting. Additionally, you will design and maintain models to quantify the impact of marketing programs, analyze marketing experiments, and ensure data quality across systems.

• Ownership of the reporting layer of the marketing measurement framework, translating attribution methodology into clear, decision-ready insights.
• Conducting ad hoc deep dives to diagnose pipeline trends, campaign anomalies, or funnel conversion issues and proactively surfacing recommendations.
• Designing and maintaining models to quantify the impact of marketing programs across the buyer journey, and owning marketing ROI analysis.

• Strong SQL skills and hands-on experience working with cloud data warehouses (Snowflake, BigQuery, or Redshift)
• 5-8 years of experience in marketing analytics, GTM analytics, or business intelligence within a B2B SaaS environment
• Deep understanding of B2B SaaS performance metrics, including pipeline, ACV, conversion rates, velocity, marketing-sourced vs. influenced pipeline, and attribution concepts
• Working knowledge of Salesforce (reports, dashboards, opportunity data) and marketing automation platforms (Marketo preferred)
• Comfort operating in a fast-changing environment, where definitions, targets, and operating models evolve, and the ability to balance speed with analytical rigor
• 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
• Proficiency with BI and visualization tools (Looker experience preferred) and the ability to build executive-ready dashboards and reporting
• 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
• Familiarity with the modern data stack (Fivetran, dbt, Snowflake, Looker)
• Experience with predictive modeling: LTV estimation, propensity scoring, or cohort analysis applied to marketing audiences
• Background in data infrastructure, developer tools, or analytics software industries