Product Analyst (Growth)
New
Z
ZeelyAI advertising
Remote-first формат: працюй звідки зручно, а якщо хочеш — будемо раді бачити тебе в наших офісах у Варшаві та Києві.Full-Time
Salary not disclosed
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Job Details
- Experience
- 3+ роки досвіду аналітиком у продуктових компаніях.
- Required Skills
- Product AnalyticsA/B testing
Requirements
- Have 3+ years of experience as an analyst at product companies.
- Have practical experience with B2C or subscription products, funnels, subscription conversion, and monetization metrics.
- Have extensive experience analyzing A/B tests and a confident understanding of statistics.
- Be able to explain whether experiment results are statistically supported to the team.
- Have experience segmenting users and identifying segments that convert and pay back better.
- Understand product and monetization metrics, including LTV, conversion rate, activation, retention, and ARPU.
- Be able to formulate conclusions for stakeholders and explain the reasoning behind recommendations.
- Show ownership and proactivity by identifying questions to investigate, rather than only responding to backlog requests.
- Nice to have: experience building experiment, segmentation, or personalization frameworks.
- Nice to have: experience with web funnels, metric alerting and monitoring, acquisition, product and monetization analytics, or payment analytics.
Responsibilities
- Analyze growth funnels and identify opportunities across the user journey from acquisition through purchase, activation, and monetization.
- Help design A/B tests, evaluate results, and establish consistent decision-making standards.
- Study user behavior and segments to understand drivers of conversion, activation, retention, LTV, and acquisition efficiency.
- Evaluate how pricing changes, subscription and transaction models, and product mechanics affect revenue and unit economics.
- Turn data into recommendations for growth, product, and marketing teams and help prioritize business opportunities.
- Develop growth analytics systems, including self-service reporting, key-metric monitoring, and alerts.
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