Adobe GA4 Digital Analytics Consultant

Overview

Remote
Depends on Experience
Contract - W2
Contract - 6 Month(s)

Skills

Adobe
Adobe Analytics
Adobe Target
Amazon Web Services
Analytics
Apache Spark
Asana
Auditing
Business Intelligence
Cloud Computing
Collaboration
Communication
Confluence
Dashboard
Data Analysis
Data Flow
Data Lake
Data Validation
Data Warehouse
Debugging
Documentation
Estimating
Extract
Transform
Load
Google Analytics (GA4)
Google Cloud Platform
JIRA
KPI
Management
Mapping
Marketing
Media
Microsoft Azure
Microsoft Power BI
Modeling
Presentations
Quality Assurance
R
Regulatory Compliance
Reporting
SAP BASIS
SQL
Sales
Soft Skills
Testing
Adobe Experience Platform
AEP
Abobe
GA4
data visualizations
BI platforms

Job Details

We are seeking a skilled Digital Analytics Consultant to support an ad-hoc/project-by-project basis. You will own hands-on tagging implementation, dashboard development, data validation, and measurement strategy across Adobe Analytics, GA4, and data visualizations with BI platforms. This role suits an independent, senior-minded practitioner who can ramp quickly, deliver production-ready work with minimal oversight, and communicate clearly with technical and non-technical stakeholders.

  • Tagging & Implementation: Design, implement, and debug tracking via Adobe Launch (Experience Platform Launch) and Google Tag Manager; ensure accurate dataLayer mapping and event capture.
  • Adobe Analytics: Build and maintain Workspace reports, segments, calculated metrics, and processing rules; troubleshoot data discrepancies.
  • GA4 Configuration: Set up GA4 properties, configure events, conversions, and audiences; validate measurement against business requirements.
  • Dashboard Development: Create interactive dashboards in Google Looker Studio and Power BI; translate business questions into self-serve reporting.
  • Data Validation & QA: Conduct tag audits, validate data accuracy across platforms, document discrepancies, and deliver remediation plans.
  • Measurement Frameworks: Develop and document measurement plans, KPI definitions, and tagging specifications aligned to business goals.
  • SQL & Data Analysis: W and analyze web/app event data from data warehouses or lakes.
  • Stakeholder Communication: Present findings and recommendations to marketing, product, and engineering teams; translate technical concepts for business audiences.
  • Documentation: Maintain clear, version-controlled documentation of implementations, tagging plans, and QA processes.
  • Ad-Hoc Analysis: Respond to urgent data requests, investigate anomalies, and deliver actionable insights on short turnaround.
  • Collaboration: Work with developers, data engineers, and marketing teams to ensure seamless implementation and data flow.
  • Estimation & Scoping: Provide accurate effort estimates for project work and ad-hoc requests.

Preferred / Nice-to-Have Skills

  • Databricks or data lake experience (Delta Lake, Spark)
  • ETL pipeline design or experience with tools like dbt, Fivetran, or Airflow
  • Python or R for data analysis, automation, or scripting
  • CDP / Adobe Experience Platform (AEP) knowledge
  • A/B testing platforms: Optimizely, Adobe Target, VWO
  • Consent management and PII handling (OneTrust, Cookiebot, GDPR/CCPA compliance)
  • Cloud platforms: AWS, Google Cloud Platform, Azure (basic familiarity)
  • Experience with attribution modeling or marketing mix analysis
  • Write and optimize SQL queries to extract, join,

Soft Skills & Working Behavior

  • Independent & Self-Directed: Able to take a brief and deliver without hand-holding
  • Quick Ramp-Up: Rapidly onboard to new environments, codebases, and stakeholder contexts
  • Clear Communicator: Confident presenting to technical and non-technical audiences
  • Strong Documentor: Leaves clear trails for handoffs and future maintenance
  • Reliable Estimator: Provides accurate time/effort estimates and flags scope risks early
  • Responsive: Acknowledges requests within [X hours] during business hours; meets agreed deadlines

Deliverables (Examples)

  • Tagging specifications and implementation tickets (JIRA, Asana, Confluence)
  • Interactive dashboards (Looker Studio, Power BI) with documentation
  • QA reports and tag audit findings with remediation recommendations
  • Measurement frameworks and KPI glossaries
  • SQL queries and data extracts
  • Training documentation or recorded walkthroughs for stakeholders
  • Analysis from sales initiatives
  • Mixed media modeling
  • Funnel reporting and analytics framework development
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