5 дней назад
Data Analyst (Marketing)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst (Marketing): Analyzing user acquisition and marketing performance with an accent on key metrics like LTV, CAC, and ROI. Focus on analyzing marketing funnels, validating LTV calculations, and providing data-driven insights across various acquisition channels.
Location: Remote or Hybrid
Company
is a young tech company focused on creating diverse mobile apps ranging from pet care to lifestyle.
What you will do
- Analyze marketing performance across different channels including Meta and Google.
- Manage and work with core datasets involving spend, revenue, LTV, and attribution.
- Ensure consistency and provide validation for key metrics such as LTV, CAC, and ROI.
- Analyze user funnel performance from click through to payment and retention.
- Assist with A/B test analysis and interpretation of results.
- Collaborate with data engineering to resolve data quality issues and with data science to support LTV predictions.
Requirements
- Strong SQL skills, specifically with BigQuery or similar tools.
- Solid understanding of marketing metrics: CAC, LTV, ROI/ROMI, and payback.
- Experience working with large-scale transaction-level and event-level datasets.
- Proficiency with BI tools, specifically Tableau.
- Ability to work with attribution data and marketing sources (Meta, Google Ads, etc.).
- Experience in A/B testing analysis.
Nice to have
- Experience with subscription-based products and payment data (Stripe, PayPal).
- Python skills.
- Familiarity with ML models and data science.
- Experience with Amplitude or AppsFlyer.
Culture & Benefits
- Unlimited out-of-office days (Time-off Policy).
- Flexibility to choose between remote or hybrid work.
- Compensations for sports, education, psychologists, and language courses.
- Health insurance and 100% sick leave compensation.
- Co-working space compensation.
- Team buildings and offsites in countries such as Spain, Italy, and Poland.
Hiring process
- HR interview.
- Technical interview.
- Team fit interview.
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