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DAC

Global full-funnel media agency for brands

Web Analyst

Data Analysis +1Confirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • A relevant bachelor's degree or equivalent industry experience is preferred.
  • Two to four years of experience in web analytics, digital analytics, or marketing analytics is required.
  • Experience with web analytics implementation, including tracking design, tagging requirements, quality assurance, and troubleshooting, is required.
  • Familiarity with tag management systems and analytics platforms such as Google Tag Manager, Adobe Launch, Google Analytics, Adobe Analytics, or similar tools is required.
  • A strong understanding of digital measurement frameworks, events, conversions, campaign tracking, and website performance metrics is required.
  • Working knowledge of paid search, paid social, and search engine optimization is required, including how campaigns are optimized and how media performance influences website behavior, traffic quality, and conversion.
  • Experience building reports and dashboards using website, media, and first-party data is required.
  • Familiarity with data visualization tools such as Power BI, Tableau, Looker Studio, or similar platforms is required.
  • An understanding of data architecture, data structures, and how raw source data translates into reporting outputs is required.
  • Experience using artificial intelligence-enabled tools to support reporting, visualization, analysis, or workflow efficiency is required.
  • Strong Microsoft Excel and Microsoft PowerPoint skills are required.
  • Strong written, verbal, and presentation skills are required.
  • The ability to communicate technical concepts and data insights clearly to technical and non-technical stakeholders is required.
  • The ability to work cross-functionally with developers, data engineers, analysts, and data scientists is required.
  • Strong attention to detail, curiosity, and problem-solving ability are required.

Responsibilities

  • Support web analytics strategy, measurement planning, and implementation across websites and campaigns.
  • Translate business and stakeholder needs into tracking requirements, tagging plans, and reporting outputs.
  • Ensure data is collected accurately through proper tagging, implementation quality assurance, and ongoing validation.
  • Build and maintain reporting and visualizations across website, media, and first-party data sources.
  • Use artificial intelligence-enabled tools to improve reporting workflows, streamline analysis, and surface insights efficiently.
  • Investigate trends and performance changes across digital touchpoints and provide actionable recommendations.
  • Collaborate with technical, media partners, and analytics teams to maintain data integrity and improve reporting foundations.
  • Lead and support web analytics engagements in partnership with account service, analytics, and technical teams.
  • Own the web analytics lifecycle across assigned projects, including measurement design, implementation support, quality assurance, reporting, analysis, and recommendations.
  • Gather business requirements and translate them into tracking frameworks, measurement plans, and data collection specifications.
  • Support tagging and implementation activities for websites and campaigns, including variables, events, conversions, and other measurement requirements.
  • Partner with developers and technical teams during implementation to ensure analytics requirements are correctly deployed.
  • Perform implementation quality assurance and troubleshooting to validate tagging, data capture, and reporting accuracy.
  • Monitor data quality and identify issues related to tracking, tagging, discrepancies, or broken measurement logic.
  • Develop recurring and ad hoc reporting that integrates website, media, and first-party data into clear and actionable performance views.
  • Build dashboards, visualizations, and presentations that communicate performance trends, issues, and opportunities to stakeholders.
  • Analyze digital performance across websites and campaigns, identifying underperforming areas and opportunities to improve conversion, engagement, and efficiency.
  • Investigate business questions by connecting behavioral, campaign, and customer data to identify likely drivers of performance changes.
  • Work with data engineers to understand data architecture, source systems, data flows, and structures that support reporting and analysis.
  • Collaborate with lead analysts and data scientists on advanced analysis, data interpretation, and insight development.
  • Participate in client and internal presentations, explaining findings, technical considerations, and strategic recommendations.
  • Contribute to the growth and evolution of the agency's analytics, implementation, and reporting capabilities.

About the Company

DAC

Global full-funnel media agency for brands

DAC is a full-funnel media agency that connects brands with their audiences around the world. It combines global strategy with local insight to deliver measurable business growth for clients. The company’s approach centers on its people, collaborating as true partners and tackling complex challenges with curiosity and courage. Its analytics arm, Proove by DAC, turns data into clear insights and bold business decisions, supported by proprietary platforms such as IRIS (data-driven insights), TotalSERP (organic search impact), and Local Search Platforms (local visibility). DAC achieves results by blending technology with human expertise, delivering strategy, analytics, and media activation that help brands move forward. The goal is to drive real business growth by turning data into clarity and confident actions.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Toronto, Canada
Founded
1972

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