Senior Marketing Insights Analyst

About Us

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.

As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

The Senior Marketing Insights Analyst sits at the intersection of B2B marketing strategy and performance analytics. You’ll help marketing leadership see around the corners by digging into topics like what is driving pipeline, where our investment mix is over- or under-weighted, and how performance trends should inform future spend decisions. 

This is a high visibility role with direct exposure to marketing leadership. We're looking for someone who brings structure to ambiguity, has the business judgment to challenge assumptions, and can move fast without sacrificing rigor. Rather than joining a large, mature analytics function, you'll be one of the first dedicated analysts helping measure marketing and GTM performance during a period of real organizational change.

• 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
• Partner closely with the corporate analytics, finance and GTM strategy to build actionable and scalable reporting

• Scope dashboard needs and partner with the Analytics team to build them out
• Develop segment and region level views of marketing performance to support resource allocation decisions
• 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

• Analyze marketing experiments (landing pages, email sequences, ad creative, offers) to drive continuous improvement
• Build automated dashboards, scorecards, and alerting for key marketing KPIs so teams can self-serve and act quickly on trends
• Partner with Marketing Ops and data engineering to ensure data quality, proper tracking, and consistent taxonomy across systems (Salesforce, Marketo, web analytics)

• Ability to independently structure ambiguous problems, move quickly, and drive them to clear, actionable recommendations
• Clear point of view and the confidence to challenge assumptions and bring data-backed perspectives to senior stakeholders
• Comfort operating in a fast-changing environment where definitions, targets, and operating models are still evolving, and the ability to balance speed with rigor
• 5 to 8 years of experience in marketing analytics, GTM analytics, or business intelligence within a B2B SaaS environment
• Understanding of B2B SaaS performance metrics: pipeline, ACV, conversion rates, velocity, marketing-sourced vs. influenced pipeline, and attribution concepts
• Comfortable with SQL and BI/visualization tools like Looker to move quickly through data without heavy reliance on others
• Working knowledge of Salesforce (reports, dashboards, opportunity data) and marketing automation platforms (Marketo 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