Liquid Agency
Our purpose is to build brands people believe in.
Senior Data Analyst
Location
California + 1 moreAll locations: California, Texas
Posted
110 days ago
Salary
Not specified
Bachelor Degree5 yrs expEnglishAEMETLPythonSQLTableau
Job Description
• Create and maintain standardized segments, metrics, dimensions, and templates within Adobe Analytics (AEM) to ensure consistent year-over-year and intra-campaign reporting.
• You will design measurement frameworks, build dashboards, and translate performance data into clear, actionable insights that fuel smarter content and campaign decisions.
• You’ll develop tagging and tracking plans, ensure data accuracy, and serve as Liquid’s expert in turning analytics into recommendations that improve engagement and impact.
• You’ll partner closely with Strategy, Creative, and Client teams to identify optimization opportunities, evaluate KPIs, and drive continuous improvement across platforms.
• You will also help teams grow their analytics fluency by creating best-practice guides, delivery trainings, and sharing performance insights.
• You’ll define and maintain standardized metric definitions, naming conventions, and metadata frameworks.
• You will implement always-on tracking structures that reduce ad-hoc data pulls.
• You’ll proactively explore analytics environments to understand system behavior, identify gaps, and ensure accurate measurement.
• You will develop standardized intake processes for partner-provided data including Bitly link requests, video analytics, and vendor datasets.
• And, you will work closely with engineering, tagging, and client technical teams (e.g., AEM architects) to ensure measurement structures are technically sound and scalable.
Job Requirements
- 5+ years in analytics, data strategy, or marketing measurement (agency or consulting firm experience preferred)
- Strong experience structuring data within Adobe Analytics and AEM (segments, metrics, dimensions, templates—not CMS content management)
- Strong proficiency with GA4 and UTM tools (e.g., Bitly)
- Hands-on ability to clean, transform, and structure raw data using SQL, Python, or ETL tools
- Proven ability to turn data into clear, compelling stories and strategic recommendations
- Experience working in BI environments (Domo, Looker, Tableau, Power BI) to structure and automate datasets
- Ability to shape long-term, client-specific data organization strategies and experience developing durable measurement templates and standardization frameworks that ensure year-over-year comparability
- Excellent communication and presentation skills for both creative and technical audiences
- Experience collaborating with engineering or technical teams (tagging engineers, AEM architects) to align analytics structures with site architecture.
Benefits
- Flexible work arrangements
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