LP
Senior Web Analytics and Reporting Specialist
LinkedIn Recruiter Post
SOTI seeks a Senior Web Analytics and Reporting Specialist to implement analytics tools, build dashboards, and analyze data to drive digital marketing performance.
About the role
- Adobe Analytics Engineer supporting digital data collection and marketing technology integrations at Northern. Collaborating with a talented team to enhance digital experiences and ensure privacy compliance.
Responsibilities
- Implement and optimize global digital data collection, including scalable data layer design and governance
- Own Adobe Launch implementation, governance, and process improvements; integrate various marketing technologies via the TMS of record
- Configure and maintain Adobe Analytics (variables, events, classifications, processing rules, link tracking) and validate server calls
- Provide strategic guidance to ensure consistent integrations and standards across multiple applications
- Design, build, test, and deploy tagging solutions and MarTech integrations using JavaScript and related web technologies
- Troubleshoot and validate tagging and data flows using tools such as Charles or Fiddler, browser dev tools, and automated testing frameworks
- Support and enable MarTech integrations (e.g., Adobe Target, Adobe Audience Manager, AEM, Google Ads/Remarketing, Medallia, OpinionLab, Google Analytics, Tableau, Data Sentinel, ObservePoint)
- Ensure privacy compliance: configure and operate OneTrust, map cookies to categories, and assess privacy impacts for new technologies
- Monitor and maintain tracking health with enterprise tools (e.g., Splunk, AppDynamics, Tivoli, ObservePoint) and collaborate with engineering/ops as needed
- Deliver clear implementation specs, tracking plans, and documentation; provide weekly status updates and maintain a strategic roadmap
- Work within Agile Scrum/Kanban; manage work via JIRA/Confluence/Asana; partner closely with developers, QA, product, and legal/privacy stakeholders
Requirements
- 4+ years hands-on experience with Adobe Analytics and enterprise Tag Management Systems (Adobe Launch required; Tealium/Ensighten/GTM a plus)
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience
- Strong JavaScript, HTML, and CSS skills; familiarity with Java; working knowledge of SQL and at least one of R/Python for data validation and analysis
- Proven experience designing and governing data layers and digital data collection standards
- Experience implementing and validating MarTech/AdTech pixels and CX tools (e.g., Google Ads/Remarketing, Medallia, OpinionLab)
- Practical knowledge of privacy and consent management with OneTrust, including cookie categorization and deployment workflows
- Proficient with debugging and QA tools: Charles, Fiddler, browser dev tools; automated testing with Selenium or similar
- Exposure to monitoring/observability platforms (Splunk, AppDynamics, Tivoli) and collaboration tools (JIRA, Confluence, Asana)
- Strong communication, stakeholder management, and Agile delivery experience
- Experience with Adobe Experience Cloud components: AEM, Adobe Target, Adobe Audience Manager; Adobe Workbench familiarity an asset
- Web tech and tooling: Node.js, Angular, jQuery, Dojo, PhantomJS, Bitbucket, Jenkins, Postman, Spring Boot, RabbitMQ an asset
- Data platforms: Netezza, Hadoop, MongoDB; QA and audit tools like ObservePoint; reporting/BI with Tableau an asset
- Customer feedback/voice-of-customer tools and tag governance frameworks an asset
Benefits
- Competitive Rates
- Flexible work to promote work-life integration
- Remote-first or hybrid flexibility
- Asynchronous work
- Supportive Operations Team
- 40 hours a week
- Opportunity to collaborate with top industry talent!
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Chef d’équipe Analytics Engineer chez Lightspeed, plateforme infonuagique de commerce mondiale. Transformation des données et leadership d’une équipe analytique pour soutenir les décisions fondées sur les données.
Staff Engineer owning analytics architecture and data modeling at Oscilar, an AI risk decisioning platform for fraud, credit, and compliance. Building tiered data infrastructure, optimizing database performance, and shaping long - term analytics platform strategy.
Senior Data Analytics Engineer building automated reporting and business insights for Dotmatics’ cloud scientific research platform. Partnering across Sales, Product, Marketing, and Finance to enable self - service analytics.
Analytics Engineer building trusted data models, pipelines, dashboards, and GTM workflows for Linear’s product development system. Partnering across Product, Engineering, and GTM to make data actionable.
Senior Analytics Engineer building trusted, AI - ready analytics infrastructure for Luxury Presence’s real estate growth platform. Owning dbt, Snowflake, Python pipelines, semantic layers, and cross - system data quality.
Junior Analytics Engineer maintaining data pipelines, models, and dashboards for Top Hat, an education technology company. Supporting operational teams with trusted data, SQL analysis, and data quality improvements.
Associate Analytics Engineer building governed, tested data models and pipelines for CircleCI, the world’s largest CI/CD platform. Supporting business users, downstream systems, and AI - powered workflows through reliable analytics engineering.
Analytics Engineer building scalable data models and pipelines for Tailscale’s secure networking platform. Supporting reporting, analysis, and decision - making across Finance, Engineering, Sales, and other teams.
Data Analytics Specialist supporting the design and development of analytical products for Alberta government. Collaborating with team to leverage data assets and enhance service delivery.