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.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a Marketing Business 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.

This is a full-time, hybrid position based out of our Oakland or Denver offices. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

Fivetran, BigQuery, Looker, SFDC, Demandbase, Bizable, Marketo, Google Suite
 

What You’ll Do

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)

Skills We’re Looking For

• 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

Bonus Skills​

• 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

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