Senior Marketing Analyst

Role OverviewWe are seeking a Senior Marketing Analyst who possesses a rare blend of technical literacy and high-level business acumen. While our Data Engineering team handles the core infrastructure and pipeline builds, you will be the "Architect of Insight."You aren't just looking at marketing KPIs; you are connecting marketing touchpoints to bottom-line business metrics like LTV, Retention, and Cohort-based CAC.Key ResponsibilitiesStrategic Requirements Mapping: Act as the lead translator between Marketing and Data Engineering. You will define the logic for unified data models and oversee their implementation to ensure they meet business needs.Advanced Data Auditing: Use your knowledge of APIs and SQL to audit data flows. When a dashboard looks "off," you should be able to identify if the issue lies in the API source, the transformation script, or the business logic.Full-Funnel Analytics: Build and own end-to-end dashboards that connect top-of-funnel advertising data with back-end customer behavior data.Unit Economics Mastery: Lead the analysis of Customer Acquisition Cost (CAC) and Lifetime Value (LTV). You will provide the "Why" behind the "What," helping the team shift budget to the most profitable channels.Stakeholder Management: Present findings to leadership and work closely with Data Engineers to prioritize technical fixes that unblock marketing insights.Technical RequirementsThe "Engineering-Adjacent" Mindset: You must be deeply familiar with how data travels from an API call into a Google Cloud environment. You don't need to build the pipeline, but you must be able to troubleshoot it.GCP & SQL Proficiency: Advanced-level SQL is a must. You should be comfortable navigating BigQuery to validate data and build custom views.Visualization Expert: Advanced experience with Looker, Metabase, or similar, creating scannable, executive-level dashboards that tell a story.Marketing Tech Stack: Deep understanding of the backend of Meta Ads, Google Ads, and GA4 (specifically how they pass parameters like UTMs and GCLIDs).Business Analytics: Proven track record of connecting marketing spend to actual revenue and customer retention metrics. Programming & Scripting: Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R).Professional & Soft SkillsThe "Business Eye": You don't just move data; you understand why it matters. You have a deep interest in performance marketing and unit economics.Communication: Exceptional ability to explain technical roadblocks to marketers and marketing goals to engineers.Proactive Problem Solving: You identify gaps in the data journey before they become reporting issues.Marketing Analytics Experience: you should be familiar with metrics and data like ad spend, clicks, installs, reach, impressions and ad engagement metrics