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Data & Marketing Analyst (AI)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data & Marketing Analyst (AI): Building the analytics layer for a new AI mental health and mindfulness subscription product with an accent on web tracking, attribution, marketing performance measurement, and subscription metrics. Focus on designing tracking infrastructure, connecting marketing spend to revenue, building LTV and CAC dashboards, and analyzing funnel experiments.

Location: Fully remote

Company

hirify.global is building a new AI product in the mental health and mindfulness space.

What you will do

  • Build the product’s web tracking foundation from scratch using GA4 and GTM, including client-side and server-side tracking, UTM conventions, dataLayer schemas, event deduplication, and attribution windows.
  • Implement server-side conversions for paid channels, including Meta CAPI, Google Enhanced Conversions, and TikTok Events API.
  • Build and maintain web attribution models connecting marketing spend to revenue, and deliver channel-level LTV and CAC analysis.
  • Design and own Tableau dashboards covering acquisition, funnel, retention, cohort, LTV, and financial metrics.
  • Support performance marketing with ad-hoc SQL analysis and Python automation scripts.
  • Design and analyze A/B tests, document results, drive action from findings, and maintain tracking conventions and data definitions.

Requirements

  • 3+ years of experience as a Data Analyst, Web Analyst, or Marketing Analyst working with web subscription or e-commerce products.
  • Strong web analytics expertise, including funnels, attribution, tracking logic, and marketing performance measurement.
  • Experience working with performance marketing data and raw or semi-processed data from Facebook Ads, Google Ads, TikTok Ads, or similar platforms, including validation and cleanup.
  • Strong understanding of subscription metrics, including LTV, cohorts, retention, recurring revenue, CAC, and payback period.
  • Experience setting up web tracking from scratch for a new product, funnel, or market.
  • Advanced SQL, including window functions, CTEs, query optimization, and complex datasets.
  • Proficiency in Python, including pandas, NumPy, analysis scripts, and basic automation.
  • Experience with BI tools such as Tableau, Looker, Power BI, or similar.
  • Comfort working with ambiguity and building structure where it does not yet exist, plus open, clear, and proactive communication.
  • High level of ownership and initiative.

Nice to have

  • Hands-on GA4 experience.
  • Hands-on GTM experience, including client-side and server-side implementation.
  • Experience working with PSP data.
  • A/B testing experience.
  • Tableau experience with dashboards, calculated fields, and parameter actions.
  • BigQuery experience with large datasets, cost optimization, and performance optimization.
  • Experience with dbt.

Culture & Benefits

  • Full ownership and freedom to set up tracking for a new product without legacy constraints.
  • Direct work with a performance team running live campaigns and a data team of 10+ people across Data Analytics, Data Engineering, Data Science, BI, and AI.
  • Modern stack including SQL, BigQuery, dbt, GA4, GTM, Tableau, and Python, with openness to new practices such as GrowthBook, server-side tracking, and GenAI skills for analysts.
  • Flexible schedule and remote-friendly setup.
  • Competitive compensation with regular performance reviews, medical insurance, and a learning and development budget.
  • Career growth opportunities based on performance.

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