HOLYWATER yra pramogų technologijų įmonė, jungianti žiniasklaidą, dirbtinį intelektą ir įtraukiančias patirtis, kad sukurtų naujų būdų auditorijai atrasti istorijas ir su jomis įsitraukti. Įmonės portfelį sudaro knygos, audioknygos, interaktyvioji grožinė literatūra, vertikaliųjų vaizdo įrašų serialai ir dirbtinio intelekto generuojamas turinys, taip pat įrankiai, leidžiantys naudotojams pritaikyti pramogų patirtį pagal savo poreikius. Įmonė derina žmonių pasakojamas istorijas ir dirbtiniu intelektu paremtą kūrybą, kad kurtų lengvai plečiamus turinio formatus ir aplink juos telkiamas bendruomenes, įskaitant specialiai sukurtą srautinio turinio žiūrėjimo patirtį.
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.
Aprašymas
- 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.
Reikalavimai
- 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.
Privalumai
- 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.