
Analytics Engineer
- Ontario
- Permanent
- Full-time
- Collaborate with Web and Development teams to implement and maintain scalable web analytics tracking using Google Analytics 4 (GA4), Google Tag Manager (GTM), and Segment.
- Define and maintain structured data layer requirements to support analytics and marketing needs.
- Configure and maintain key analytics tools, including GA4, BigQuery, Looker Studio, and Tableau.
- Perform QA and debugging of analytics tags and data flows using browser dev tools, tag debuggers, and proxy tools.
- Optimize data integration between the Customer Data Platform (CDP) and GA4
- Support integration of web analytics data with BI platforms, data warehouses, and data platforms (e.g., BigQuery, Snowflake, S3, Segment).
- Ensure data quality, consistency, and accuracy across all tracked platforms.
- Monitor and ensure compliance with privacy regulations (e.g., GDPR, CCPA) in tracking setup and manage data deletion requests in accordance with user consent in managed platforms.
- Partner with cross-functional teams to define data requirements and deliver performance-conscious, scalable tracking solutions.
- Contribute to strategic initiatives, including merging three distinct brands/websites into a unified domain, expanding use of CDP-housed data within GA4, and streamlining internal analytics workflows using AI to reduce manual effort and increase stakeholder value.
- Maintain tracking specifications, documentation, and internal enablement resources.
- Create and maintain dashboards using Looker Studio, Tableau, or similar BI tools.
- Continuously drive improvements in tracking capabilities, data integrity, and stakeholder enablement.
- Proactively monitor and understand various fraud-related data, dashboards and findings. Relay key summaries to the immediate team, internally.
- 2-5+ years of experience in web analytics implementation or a similar technical analytics role.
- Strong knowledge of JavaScript, HTML, and browser dev tools.
- Expertise in Google Analytics 4, both implementation and analysis.
- Hands-on experience with Google Tag Manager (GTM) and BigQuery.
- Working knowledge of Customer Data Platforms (CDPs) and analytics data integrations.
- Experience with debugging tools such as Tag Assistant, Charles Proxy, or ObservePoint.
- Familiarity with SQL and cloud data platforms.
- Familiarity with A/B and multivariate testing frameworks, as well as web personalization
- Strong communication skills with the ability to bridge technical and non-technical teams.
- Detail-oriented with a passion for clean, trustworthy data.
- Experience with Looker Studio, Tableau, or other BI tools.
- Familiarity with Adobe AEM, Adobe Target, Mutiny, or similar platforms.
- Interest or experience in applying AI-driven solutions to analytics workflows.
- Experience with server-side tagging or CDPs (e.g., Segment).
- Exposure to A/B testing platforms (e.g., Optimizely, Google Optimize).
- Knowledge of cookie management platforms (e.g., OneTrust, Cookiebot).
- Interest or exposure to fraud monitoring tools and processes.