Senior Marketing Data Analyst
Job Description
Position Overview
Fivetran is building data pipelines to power the modern data stack for thousands of companies. We are hiring a Senior Marketing Data Analyst to support our Marketing organization and unlock insights from rich internal data. In this role you will analyze marketing performance, campaign effectiveness, and funnel data to drive growth, optimize spend, and enable smarter decision-making. You’ll lead high-impact, cross-functional projects and build trusted relationships with marketing, sales, and product partners – defining core marketing metrics, owning key data pipelines and dashboards, and shaping analytics best practices. This is a full-time, hybrid position based out of our Oakland, CA office offering remote flexibility with two in-office days each week.
Key Responsibilities
- Define and own marketing metrics across funnel performance, campaign effectiveness, pipeline contribution, and ROI; establish benchmarks and enable monitoring through dashboards and self-serve tools.
- Analyze diverse datasets (e.g., digital campaigns, website analytics, CRM, product usage, pipeline and revenue data) to generate actionable insights and recommendations that improve efficiency and growth.
- Lead cross-functional projects with Marketing, Sales, Finance, and Product teams on campaign attribution, pipeline conversion efficiency, spend optimization, and audience segmentation.
- Analyze marketing experiments (e.g., A/B tests, channel pilots, creative variations) to measure impact, validate hypotheses, and provide scalable recommendations.
- Investigate anomalies and performance shifts through deep dives and creative exploration across disparate datasets to uncover root causes and opportunities.
- Own and enhance the data infrastructure for Marketing Analytics – from metric definition to data pipelines, dashboards, and reporting systems.
- Shape the analytics culture by mentoring junior analysts and establishing best practices in metric design, analytics quality, and data storytelling.
Required Qualifications
- Experience with modern analytics tools and technologies: SQL (BigQuery), dbt/SQLMesh, Looker/LookML, Sigma/Hex/Google Colab/Google Sheets, and Jira.
- 4+ years of experience analyzing data in a marketing, growth, or go-to-market context.
- Advanced proficiency in SQL and data modeling with the ability to work fluently across large, complex, and cross-functional datasets.
- Experience with BI tools such as Looker, Tableau, or similar platforms for building dashboards and visualizations.
- Strong attention to detail and a proven track record of analytical rigor in delivering reliable insights.
- Excellent communication and storytelling skills – able to simplify complex analyses and influence decision-makers.
- Comfortable taking ownership of ambiguous problems and developing end-to-end analytic solutions.
- Demonstrated success using analytics to drive decisions in areas such as campaign performance, funnel optimization, spend efficiency, or revenue impact.
- Passion for leveraging data and analytics to shape marketing strategy and drive measurable business impact.
Preferred Qualifications
- Experience working with marketing and funnel-level data, including campaign performance, website analytics, CRM/marketing automation data, or product usage signals.
- Proficiency in Python or R for deeper analysis, statistical modeling, and automation of reporting.
- Background in B2B SaaS or growth-focused marketing analytics, particularly in environments with complex funnels, multi-channel attribution, or developer-focused products.
- Strong expertise in marketing attribution and ROI analysis, linking spend and campaigns to pipeline and revenue outcomes.
- Applied knowledge of statistical methods (e.g., regression modeling, significance testing, experiment analysis) to evaluate marketing impact and guide decision-making.
Benefits & Perks
- Full-time employment with a hybrid work model that balances remote flexibility and in-person collaboration.
- Opportunity to work in a dynamic team environment at our Oakland, CA office with two designated in-office days per week.