Adobe GA4 Digital Analytics Consultant
Posted 4 days ago by Konane Solutions
Negotiable
Undetermined
Remote
Remote
Summary: The Digital Analytics Consultant role involves hands-on implementation of tagging, dashboard development, and data validation across various analytics platforms, including Adobe Analytics and GA4. The position requires a senior-level practitioner who can work independently and communicate effectively with both technical and non-technical stakeholders. The consultant will be responsible for developing measurement strategies and ensuring data accuracy while delivering actionable insights. This role is suited for someone who can quickly adapt to new environments and deliver high-quality work with minimal oversight.
Key Responsibilities:
- Design, implement, and debug tracking via Adobe Launch and Google Tag Manager; ensure accurate dataLayer mapping and event capture.
- Build and maintain Workspace reports, segments, calculated metrics, and processing rules in Adobe Analytics; troubleshoot data discrepancies.
- Set up GA4 properties, configure events, conversions, and audiences; validate measurement against business requirements.
- Create interactive dashboards in Google Looker Studio and Power BI; translate business questions into self-serve reporting.
- Conduct tag audits, validate data accuracy across platforms, document discrepancies, and deliver remediation plans.
- Develop and document measurement plans, KPI definitions, and tagging specifications aligned to business goals.
- Analyze web/app event data from data warehouses or lakes.
- Present findings and recommendations to marketing, product, and engineering teams; translate technical concepts for business audiences.
- Maintain clear, version-controlled documentation of implementations, tagging plans, and QA processes.
- Respond to urgent data requests, investigate anomalies, and deliver actionable insights on short turnaround.
- Work with developers, data engineers, and marketing teams to ensure seamless implementation and data flow.
- Provide accurate effort estimates for project work and ad-hoc requests.
Key Skills:
- Experience with Adobe Analytics and GA4.
- Proficiency in Google Tag Manager and Adobe Launch.
- Strong skills in dashboard development using Google Looker Studio and Power BI.
- Ability to conduct data validation and QA processes.
- Experience in SQL and data analysis.
- Excellent communication skills for stakeholder engagement.
- Experience with Databricks or data lakes, ETL pipeline design, and tools like dbt or Fivetran.
- Knowledge of Python or R for data analysis.
- Familiarity with cloud platforms such as AWS, Google Cloud Platform, or Azure.
- Experience with A/B testing platforms and consent management.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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