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Роль описана чётко и охватывает востребованную MarTech-аналитику, есть полезные инструменты и заявлена поддержка развития. Но без зарплатной вилки сложно оценить финансовые условия, а работа в аутсорсинге может зависеть от задач клиентов.
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Зарплата не указанаАктуальные инструментыПонятные задачиАутсорсинговая модельПоддержка развития
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Описание вакансии
Текст:
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TL;DR
MarTech / Marketing Analyst (GA4/GTM): Optimizing marketing analytics, tracking, reporting, and data-driven campaign performance across digital channels with an accent on Consent Mode v2, dataLayer implementation, attribution, and conversion tracking. Focus on auditing analytics setups, validating data across marketing systems, analyzing GA4 data with SQL, and building actionable dashboards and reports.
Location: Tbilisi, Georgia; onsite, remote, or hybrid work at the employer's location
Company
Andersen is a pre-IPO software development and full-cycle digital services company working with enterprises and mid-sized businesses worldwide.
What you will do
Set up, maintain, troubleshoot, and audit tracking through Google Tag Manager, including web and server-side implementations.
Define dataLayer requirements for developers and support analytics architecture for websites, campaigns, products, and markets.
Validate data across GA4, advertising platforms, CRM, and internal systems, identifying missing, duplicated, or inconsistent data.
Analyze marketing performance, attribution, and conversion data across channels and provide actionable recommendations.
Build and maintain dashboards and reports using Tableau, Looker Studio, Power BI, or similar tools.
Requirements
3+ years of hands-on experience with GTM, GA4, and Google Search Console.
Experience preparing technical specifications and dataLayer schemas for developers.
Experience implementing and troubleshooting e-commerce tracking, UTM tracking, attribution, traffic sources, and conversion tracking.
Experience auditing analytics setups and using BI tools such as Tableau, Looker Studio, or Power BI.
Basic SQL knowledge, strong understanding of CAC, CPA, CPL, ROAS, conversion rate, AOV, and LTV, and the ability to translate data into marketing recommendations.
English at Intermediate+ level or above and hands-on experience implementing Consent Mode v2 with a CMP.
Nice to have
Experience with BigQuery, Firebase, AppsFlyer, Adjust, or another mobile measurement platform.
Experience with Meta Conversion API, CRM/CDP data, and marketing APIs.
Basic Python knowledge.
Culture & Benefits
Mentoring and an adaptation program for new employees.
Transparent performance reviews and opportunities for specialist or management growth.
Access to educational platforms, seminars, established internal knowledge resources, and continuous learning support.
Stable and competitive salary with an extensive benefits package.
Informal communication within teams and opportunities to learn from experienced colleagues.
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