Product Analyst

An international iGaming company with a portfolio of over 20 brands in Tier 1–3 markets is looking for a Product Analyst to join its team. You will be responsible for the full cycle of analytical support: from researching audience needs and prototyping to evaluating feature effectiveness and scaling the product into new markets. We expect a high level of autonomy, expert knowledge of industry metrics, and the ability to convert data into substantiated business decisions.

Key Tasks:

Product and Analytics: — Development and validation of product hypotheses (CJM, JTBD, prototyping, A/B testing). — Management and optimization of key funnels: FTD, C2R, R2D. — Work with Retention, conducting cohort analysis and evaluating the effectiveness of bonus economics. — Independent data work: writing complex SQL queries (ClickHouse), using Python for analytics and reporting automation. — Data visualization and dashboard support: Tableau, GA4, Amplitude, Yandex.Metrica, Hotjar. — Implementation and development of AI tools for personalizing user experience and forecasting metrics.

Processes and Coordination: — Backlog management, task prioritization, and sprint planning (Jira / Confluence). — Work within Agile methodologies (Scrum/Kanban), participation in regular planning cycles and retrospectives. — Cross-functional interaction with development, design, marketing, and CRM departments. — Monitoring deadlines and resources using EVM approaches, managing project risks, and adhering to SLAs.

Domain Expertise and Localization: — Adapting the product to the specifics of different GEOs (regulatory requirements, payment habits, local specifics). — Work with PSP integrations and external providers, monitoring the stability of payment gateways and UX flows. — Development of CRM strategy: database segmentation, setting up trigger sequences, optimizing LTV/CAC ratio.

Cooperation Terms:

— Salary is discussed individually following the technical interview. — Tools: direct access to ClickHouse, DWH, modern AI tools, and complete data arrays. — Processes: transparent planning system, data-driven prioritization, no micromanagement. — Work format: fully remote cooperation. — Culture: work in an expert team, direct focus on results, and the opportunity for professional influence on the product.

Contact for communication: @ignis_mou