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Web Analyst

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: DAC
Full Time position
Listed on 2026-05-17
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Digital Marketing, Data Mining
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Who We Are

We are DAC—a global full-funnel performance media agency dedicated to delivering transformative results. With expertise spanning SEO, paid media, creative production, analytics, and local optimization, we combine the brightest minds with innovative technology to deliver seamless, forward-thinking strategies. Powered by AI, data, and creative ingenuity, we deliver integrated campaigns that engage customers at every touchpoint—from global audiences to individual store locations.

The Web Analyst supports the strategy, design, implementation, and ongoing optimization of digital measurement solutions across websites and marketing programs. This role blends web analytics implementation with cross-channel reporting and analysis, helping ensure that data is collected accurately, structured appropriately, and translated into clear business insights. The successful candidate will support tracking and tagging initiatives, validate data quality, and develop reporting that combines website, media, and first-party data sources.

This individual will also use AI-enabled tools to accelerate reporting, create data visualizations, and support high-level analysis of business questions. This role works closely with web developers, data engineers, lead analysts, data scientists, and account teams to support analytics implementation, reporting, and performance analysis.

Key Objectives of the Role
  • 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 QA, and ongoing validation
  • Build and maintain reporting and visualizations across website, media, and first-party data sources
  • Use AI-enabled tools to improve reporting workflows, streamline analysis, and surface insights more 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
Position Accountabilities
  • 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, QA, 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 QA 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 views of performance
  • 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 more advanced analysis, data interpretation, and insight development
  • Participate in client and internal presentations, helping explain findings, technical considerations, and strategic recommendations
  • Contribute to the growth and evolution of the agency’s analytics, implementation, and reporting capabilities
Preferred Requirements
  • Relevant bachelor’s degree…
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