{"id":3970452,"url":"https://alion.io/job/zone3000-senior-web-analyst","title":"Senior Web Analyst","company":{"id":4486855,"name":"Zone3000","domain":"zone3000.net","url":"https://alion.io/company/zone3000-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Ukraine"],"countries":["UA"],"hiring_countries":["UA"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"Cursor","optional":false},{"name":"dbt","optional":false},{"name":"Firebase","optional":false},{"name":"Google BigQuery","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Trino","optional":false}],"status":"live","first_seen_at":"2026-11-09T15:42:15Z","employer_posted_date":null,"last_verified_at":"2026-11-09T15:42:15Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Your expertise:\n\n5+ years in web or digital analytics, including analytical research you owned end to end, not only tracking implementation\n\nAdvanced SQL and hands-on BigQuery, including the GA4 export schema\n\nDeep GA4 and GTM knowledge, with enough HTML, CSS and JavaScript to debug tracking\n\nExperience setting up conversion tracking for ad platforms (Google Ads, Meta or similar), including enhanced or offline conversions, and an understanding of how consent affects data\n\nPractical A / B testing with sound statistics, and a solid understanding of attribution models and their limitations\n\nDashboards in Tableau or Data Studio\n\nAbility to turn an ambiguous request into clear definitions and a written conclusion, and to present it to non-technical stakeholders\n\nUpper-intermediate English (B2) or higher\n\nAI skills:\n\nDaily use of LLM assistants and AI coding tools (Claude, ChatGPT, Cursor or similar) for SQL and tracking work, with a habit of checking their output against source data\n\nData privacy awareness when using AI tools\n\nWill definitely be a plus: \n\nPython for automaton\n\nConversions API\n\nHeatmap tools (CrazyEgg, Hotjar or similar)\n\nTrino, Iceberg and dbt.\n\nGA4 / Firebase tracking for mobile apps\n\nBuilding simple AI agents or workflows for analytics automation\n\nBackground in domains, hosting or SaaS subscriptions\n\nWhat’s in it for you?\n\nOpportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers\n\nOpportunity to make a difference for online privacy, freedom of speech, and net neutrality\n\nDecent market rate compensation depending on experience and skills\n\nDeveloped corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency\n\nSupport of personal and professional developmentcoverage of costs of external trainings, conferences, professional literature\n\nsupport of experienced colleagues\n\nin-house events and trainings\n\nregular knowledge sharing in teams\n\nEnglish classes and speaking clubs\nLife-balance support25 working days of vacation\n\n5 days of paid sick leave per year without providing a medical certificate (no limitation on sick leaves with medical confirmation)\n\ngenerous maternity / paternity leave program\nProfessionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it\n\nYou will be involved into:\n\nOwn the tracking architecture across GA4, GTM and our first-party activity collection: tracking plans, naming conventions, QA and documentation\n\nSet up and maintain conversion tracking for ad platforms\n\nKeep BigQuery data sources reliable and reconciled with backend data, and explain discrepancies between GA, ad platforms and internal reporting\n\nLead analytical research on traffic definitions, attribution, new vs. returning users, funnels and incrementality\n\nDesign, instrument and analyse A / B tests, ending with a written recommendation\n\nMaintain traffic and new-customer forecasts and anomaly detection on key metrics\n\nUse AI tools and scripts to speed up and automate routine analytics, validating every output against source data\n\nPresent findings 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