Senior Data Analyst - Marketing Experience

New
United StatesFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English
Experience
3+ years
Required Skills
SQLMicrosoft Power BITableauData modelingdbtLooker

Requirements

  • 3+ years of hands-on SQL experience in data analytics or engineering environments
  • Strong expertise in at least one BI tool (Looker, Power BI, or Tableau)
  • Proven experience working with multiple marketing data sources simultaneously
  • Solid understanding of data modeling concepts (star schema, dimensional modeling)
  • Knowledge of ELT/ETL processes and ability to debug transformation logic
  • Strong experience with QA/UAT processes and data validation practices
  • Excellent communication skills with ability to interact directly with clients and stakeholders
  • English proficiency at C1 level (written and spoken)
  • Strong ownership mindset with high attention to detail and commitment to quality
  • Ability to work independently in ambiguous environments and drive clarity
  • Proficiency with AI tools and ability to integrate them into analytical workflows
  • Experience presenting insights and analytical findings to non-technical audiences

Responsibilities

  • Own end-to-end delivery for assigned client accounts, translating business needs into structured data and analytics solutions
  • Build, maintain, and optimize dashboards and reports in BI tools such as Looker, Power BI, or Tableau
  • Design and manage scalable data models integrating multiple marketing data sources (CRM, ad platforms, web analytics, etc.)
  • Develop, troubleshoot, and optimize SQL queries for reporting, analysis, and investigation purposes
  • Manage data transformations using dbt and ensure reliability of ELT/ETL pipelines
  • Map and document complex data flows across multi-source marketing ecosystems
  • Conduct QA and UAT processes to ensure accuracy, consistency, and trust in data outputs
  • Identify trends, risks, and opportunities in marketing data and communicate insights clearly to clients and stakeholders
  • Collaborate closely with clients to understand requirements and deliver actionable analytical solutions
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