HOLYWATER ir izklaides tehnoloģiju uzņēmums, kas apvieno medijus, mākslīgo intelektu un aizraujošu pieredzi, lai radītu jaunus veidus, kā auditorija var atklāt stāstus un iesaistīties tajos. Uzņēmuma piedāvājumā ir grāmatas, audiogrāmatas, interaktīvā daiļliteratūra, vertikālo video seriāli un mākslīgā intelekta radīts saturs, kā arī rīki, kas ļauj lietotājiem personalizēt savu izklaides pieredzi. Uzņēmums apvieno cilvēku radītu stāstniecību ar mākslīgā intelekta atbalstītu satura veidošanu, lai izstrādātu mērogojamus satura formātus un ap tiem veidotu kopienas, tostarp īpašu straumēšanas pieredzi.
Data Analyst, Marketing Analytics (SMM, Organic and Affiliate)
Develop analytics for HOLYWATER’s SMM, organic, and affiliate channels, supporting its AI entertainment products. Build marketing mix models, dashboards, and data-informed recommendations to improve conversions and monetization.
Apraksts
- Scale SMM, organic, and affiliate user acquisition with analysis, research, and data-informed recommendations.
- Improve marketing mix models to measure how channels contribute to business outcomes.
- Partner with SMM, organic, and affiliate teams to help their leads make data-based decisions.
- Build analytics tools, dashboards, and data products to assess channel performance and identify growth opportunities.
- Research user behavior, acquisition channel performance, and their effects on conversions and monetization.
- Develop and test ideas for scaling alternative acquisition channels.
- Define key metrics, establish monitoring, and find ways to optimize marketing investment.
- Set and prioritize the analytics backlog independently, proposing solutions with measurable business impact.
Prasības
- At least two years of experience in data, product, or marketing analytics.
- Strong SQL skills, including complex queries, CTEs, window functions, and working with large datasets.
- Hands-on Python experience for data analysis, automation, and statistical research.
- Experience with BI tools such as Looker, Tableau, Power BI, or equivalents.
- Understanding of statistics, hypothesis testing, A/B testing, and methods for measuring effectiveness.
- Experience building analytical models, metrics, dashboards, and tools for business teams.
- Understanding of marketing metrics, acquisition funnels, conversions, and monetization.
- Ability to independently find insights in data, make recommendations, and explain results to nontechnical stakeholders.
- Practical use of AI tools to speed up data analysis, write SQL and Python code, and automate routine tasks.
Priekšrocības
- Reimbursement for role-related training and language courses, including Ukrainian.
- Option to work from home, from offices in Kyiv’s Podil district or Lviv, or from abroad; office access is available.
- Work equipment and necessary services.
- 20 days of annual leave.
- Official public holidays.
- Unlimited sick leave.
- Fitness reimbursement.
- Health insurance in Ukraine after the probation period.
- Access to a corporate doctor.
- Mental health support.