Job Specifications
About the Job
Job title: Digital Analytics
Locaton: Remote
Duration: 3-6 months; projects will be on a demand basis
Job description:
We are seeking a skilled Digital Analytics Consultant to support Client on 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.
Role Title Options
Freelance Digital Analytics Consultant
Contract Digital Analytics Specialist (Adobe & GA4)
Ad-Hoc Analytics & Tagging Implementation Contractor
Key Responsibilities
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.
Must-Have Technical Skills & Experience
Category
Requirements
Adobe Analytics
Workspace, segments, calculated metrics, classification rules, processing rules, data feedsAdobe Launch / Experience Platform Launch
Implementation, rule configuration, extensions, debugging (Adobe Experience Platform Debugger)
Google Analytics (GA4)
Property setup, event/conversion configuration, BigQuery export, Explore reports Google Tag Manager
Container setup, tag/trigger/variable configuration, dataLayer design, debugging Google Looker Studio
Dashboard development, data blending, calculated fields, interactive filters Power BI
Report and dashboard creation, DAX basics, data modeling, scheduled refresh SQL
Proficient in querying large datasets (BigQuery, Snowflake, Redshift, or similar) Data Validation
Tag auditing, QA testing, cross-platform reconciliation
Tracking Implementation
End-to-end experience from spec to deployment to validation
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, GCP, 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