Data & Marketing Analyst (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data & Marketing Analyst (AI): Building and owning the analytics layer for a new AI-powered mental health and mindfulness web subscription product with an accent on tracking infrastructure, attribution modeling, and LTV/CAC analysis. Focus on setting up GA4/GTM from scratch, connecting marketing spend to revenue, and designing comprehensive Tableau dashboards for acquisition and retention.
Location: Fully Remote
Company
is building an AI product in the mental health and mindfulness space.
What you will do
- Build the web tracking foundation using GA4 and GTM, including both client-side and server-side implementations.
- Implement server-side conversions for paid channels such as Meta CAPI, Google Enhanced Conversions, and TikTok Events API.
- Develop and maintain a web attribution model to connect marketing spend to actual revenue and deliver channel-level LTV and CAC analysis.
- Design and own Tableau dashboards for acquisition, funnel, and retention metrics.
- Support the performance marketing team with ad-hoc SQL analysis and Python scripts for automation.
- Design and analyze A/B tests across the funnel to drive action based on findings.
Requirements
- 3+ years of experience as a Data, Web, or Marketing Analyst working with web subscription or e-commerce products.
- Strong expertise in web analytics, funnels, attribution, and marketing performance measurement.
- Experience working with raw data from Facebook Ads, Google Ads, TikTok Ads, and similar platforms.
- Deep understanding of subscription business metrics including LTV, cohorts, retention, and CAC.
- Advanced SQL (window functions, CTEs) and proficient Python (pandas, NumPy).
- Experience with BI tools such as Tableau, Looker, or Power BI.
Nice to have
- Hands-on experience with GA4 and GTM (client and server-side).
- Experience working with PSP data.
- Practical A/B testing experience.
- Experience with BigQuery and dbt for cost and performance optimization.
Culture & Benefits
- Full ownership and freedom to set up tracking from scratch for a new product without legacy constraints.
- Access to a mature data team of 10+ specialists, including Data Engineers, Data Scientists, and AI experts.
- Modern tech stack: SQL, BigQuery, dbt, GA4, GTM, Tableau, and Python.
- Flexible schedule and remote-friendly setup.
- Competitive compensation with regular performance reviews.
- Medical insurance and a dedicated learning and development budget.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →