Senior Marketing Insights Analyst

• Fivetran is building data pipelines to power the modern data stack for thousands of companies
• We’re looking for a Data-Driven Marketing Analyst who will sit at the intersection of B2B marketing strategy and performance analytics, owning clarity and rigor around how we invest and what those investments are delivering. You’ll help marketing leadership see around the corners by digging into what is driving pipeline, where our investment mix is over- or under-weighted, and how performance trends should inform future spend decisions
• You’ll own the reporting layer of the marketing measurement framework, translating attribution methodology defined by Marketing Ops into clear, decision-ready insights. This includes preparing weekly business review materials for VP+ stakeholders and building reporting that connects spend, pipeline, and ROI across channels and programs
• Beyond reporting what happened, you’ll diagnose why it happened and recommend where and how we should adjust investment. You’ll partner across demand generation, field marketing, product marketing, and digital to bring financial and performance discipline to program evaluation, budget allocation, and hypothesis-driven experimentation
• This is a high-visibility role with direct exposure to marketing leadership, requiring strong analytical skills, business judgment, and a deep understanding of how B2B marketing drives revenue
• 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
• Impact measurement
• 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
• Experimentation & optimization
• Analyze marketing experiments (A/B tests on 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)

Comfortable with SQL and BI/visualization tools like Looker to move quickly through data without heavy reliance on others5 to 8 years of experience in marketing analytics, GTM analytics, or business intelligence within a B2B SaaS environment

Working knowledge of Salesforce (reports, dashboards, opportunity data) and marketing automation platforms (Marketo preferred)
Understanding of B2B SaaS performance metrics: pipeline, ACV, conversion rates, velocity, marketing-sourced vs. influenced pipeline, and attribution concepts

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

Experience with multi-touch attribution platforms (Bizible/Marketo)
Python or R proficiency for statistical analysis, automation, or building lightweight models

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