Senior Data Analyst (Marketing Experience)

Role Overview

Senior Data Analyst (Marketing Experience) — remote-first in the United States. You’ll transform complex, multi-source marketing data into clear, actionable insights for enterprise clients, owning end-to-end delivery for assigned accounts.

Responsibilities

• Own end-to-end delivery for client accounts: translate business needs into structured data and analytics solutions
• Build, maintain, and optimize dashboards and reports using Looker, Power BI, or Tableau
• Design and optimize scalable data models integrating marketing data sources (e.g., CRM, ad platforms, web analytics)
• Develop, troubleshoot, and optimize SQL queries for reporting, analysis, and investigation
• Manage transformations using dbt and ensure reliable ELT/ETL pipelines
• Map and document complex data flows across multi-source marketing ecosystems
• Perform QA and UAT to ensure data accuracy, consistency, and trust
• Identify trends, risks, and opportunities and communicate insights clearly to clients and stakeholders
• Collaborate with engineering, analytics, and client success teams to deliver actionable solutions

Requirements

• 3+ years hands-on SQL experience in data analytics or engineering
• Strong expertise in at least one BI tool (Looker, Power BI, or Tableau)
• Proven experience working with multiple marketing data sources
• Strong data modeling knowledge (e.g., star schema, dimensional modeling)
• Understanding of ELT/ETL processes and ability to debug transformation logic
• Experience with QA/UAT and data validation practices
• Excellent communication skills; able to present to stakeholders and non-technical audiences
• English proficiency at C1 level (written and spoken)
• Strong ownership mindset and attention to detail; ability to work independently in ambiguous environments
• Proficiency with AI tools and ability to integrate them into analytical workflows

Nice to Have

• Experience with Google Analytics and ad platforms (e.g., Google Ads, Facebook Ads)
• Familiarity with marketing attribution or Marketing Mix Modeling (MMM)
• Experience with dbt in analytics workflows
• Python (or similar scripting) for analysis/automation
• Data observability or data quality frameworks

Benefits

• Fully remote-first work environment
• Competitive compensation aligned with experience
• 20 paid vacation days per year plus additional US holidays and extra days off
• Professional development and learning reimbursement
• Opportunity to work with enterprise-level marketing data products and modern analytics/AI workflows