Senior Web Analytics & Reporting Specialist

Quick Facts

• Role: Senior Web Analytics & Reporting Specialist
• Focus: End-to-end web measurement, reporting, and dashboards for marketing data

Description

Own measurement and reporting end-to-end: design, implement, and maintain tracking (GA4, GTM, server-side GTM, data layer, e-commerce tracking) and deliver dashboards and client-ready insights. Build reliable data flows into advertising systems (Consent Mode v2, Meta CAPI, enhanced conversions, Sklik SEM, TikTok, LinkedIn) and manage the data warehouse in BigQuery with SQL-based models. Use AI daily and automate reporting workflows with tools such as Claude/Gemini, Python, Apps Script, Make, and n8n.

Responsibilities

• Design and implement web measurement
• Ensure correct data flow to advertising systems and conversion tools
• Manage and evolve BigQuery data warehouse (GA4 export, ad platforms, CRM data, data models, SQL)
• Own client reporting from data connections through dashboards
• Monitor data quality: detect anomalies and tracking outages early
• Automate parts of reporting and analysis with AI and scripting
• Analyze data for opportunities and discuss them with clients and project managers
• Present results to clients and explain what the data indicates

Requirements

• 3+ years of experience with web analytics or reporting (agency or large e-commerce experience preferred)
• Strong knowledge of GA4 and GTM and how advertising systems need conversion data
• Experience with Claude code
• Experience with CDP/DMP
• Practical experience with server-side measurement (sGTM, Stape, or self-hosted)
• Experience with GCP and data architecture, including GA4 ↔ Google Ads ↔ sGTM ↔ BigQuery and Cloud Run
• Data visualization skills with focus on clarity
• Familiarity with conversion measurement and consent (Consent Mode v2, cookie banners)
• Ability to communicate data clearly and present insights to clients
• Confidence discussing and defending recommendations in meetings

Benefits

• Measurement and reporting for major brands with budgets driven by your numbers
• Opportunity to set standards and improve how work is done
• Team where AI is a daily partner, alongside colleagues building data and AI products
• Learning support: training, conferences, certifications
• 25 days of vacation, subsidized Multisport, and company events/teambuilding
• Office in Anděl with 1–2 days per week home office