Senior Marketing Data Analyst

<div class="content-intro"><p>From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.</p></div><p><span style="font-size: 10pt;"><strong>About the Role</strong></span></p> <p><span style="font-size: 10pt;">Fivetran is building data pipelines to power the modern data stack for thousands of companies.</span></p> <p><span style="font-size: 10pt;">We’re hiring a <strong>Senior Marketing Data Analyst</strong> to support our Marketing organization and unlock insights from the rich internal data at Fivetran. This role focuses on analyzing marketing performance, campaign effectiveness, and funnel data to drive growth, optimize spend, and enable smarter decision-making.</span></p> <p><span style="font-size: 10pt;">You’ll lead high-impact, cross-functional projects and develop trusted relationships with marketing, sales, and product partners. You’ll define and maintain core marketing metrics, own key data pipelines and dashboards, and help shape the team’s analytics culture and best practices. If you love digging into campaign attribution, untangling complex datasets, and turning insight into action — this is your opportunity to make a real impact.</span></p> <p><span style="font-size: 10pt;">This is a full-time, hybrid position based out of our Oakland, CA office. 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.</span></p> <p><span style="font-size: 10pt;"><strong>Technologies You’ll Use</strong></span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">SQL (BigQuery)</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">dbt/SQLMesh</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Looker/LookML</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Sigma/Hex/Google Colab/Google Sheets</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Jira</span></li> </ul> <p><strong><span style="font-size: 10pt;">What You’ll Do</span></strong></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Define and own Marketing metrics</strong> across funnel performance, campaign effectiveness, pipeline contribution, and ROI; establish benchmarks and enable monitoring through dashboards and self-serve tools.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Analyze diverse datasets</strong> (e.g., digital campaigns, website analytics, CRM, product usage, pipeline and revenue data) to generate actionable insights and recommendations that improve efficiency and growth.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Lead cross-functional projects</strong> with Marketing, Sales, Finance, and Product partners in areas such as: campaign attribution and performance, pipeline conversion efficiency, spend optimization, and audience segmentation.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Analyze marketing experiments</strong> (e.g., A/B tests, channel pilots, creative variations) to measure impact, validate hypotheses, and provide clear recommendations for scaling or iterating.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Investigate anomalies and performance shifts</strong>, conducting deep dives and creative exploration across disparate datasets to uncover root causes and opportunities.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;"><strong>Own and enhance data infrastructure for Marketing Analytics</strong> — from metric definitions to data pipelines to dashboar ... (truncated, view full listing at source)