DIGITAL ANALYTICS

Comptech Associates; United States; Remote; USD 70,000 - 100,000; Full time

Job summary

A consulting firm is looking for a skilled Digital Analytics Consultant to support projects on an ad-hoc basis. This contract role entails hands-on tagging implementation, dashboard development, and data analysis using tools like Adobe Analytics and GA4. The ideal candidate should thrive in independent settings and have proven experience in creating self-serve dashboards and ensuring data accuracy. Strong communication skills are essential for engaging with both technical and non-technical stakeholders.

Qualifications

• Proficient in querying large datasets.
• Experience with data validation and reconciliation.
• Strong understanding of dashboard development.

Responsibilities

• Implement tagging and debugging via Adobe Launch and Google Tag Manager.
• Build and maintain Adobe Analytics reports and troubleshoot data discrepancies.
• Create interactive dashboards in Looker Studio and Power BI.

Job description

Direct message the job poster from Comptech Associates

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About the Job

Job title: Digital Analytics

Duration: 3-6 months; projects will be on a demand basis

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

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: Work 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

• Workspace, segments, calculated metrics, classification rules, processing rules, data feeds; Adobe 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.
• Dashboard development: data blending, calculated fields, interactive filters in Power BI.
• Report and dashboard creation, DAX basics, data modeling, scheduled refresh; SQL.
• Proficient in querying large datasets (BigQuery, Snowflake, Redshift) and data validation.
• Tag auditing, QA testing, cross‑platform reconciliation.
• 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.
• Consent management and PII handling (OneTrust, Cookiebot, GDPR/CCPA compliance).
• 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 business hours; meets agreed deadlines.
• 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.

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Information Technology