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Armenia"],"countries":["AM"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":47000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2897},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-06-19T00:00:00Z","employer_posted_date":"2026-06-19","last_verified_at":"2026-10-18T23:00:14Z","board_verified":true,"closed_at":null,"days_open":122,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":121},"description":"Description\nWe are seeking an experienced Senior Business Data Analyst to lead analytical initiatives within our Partner Performance Analytics Team.\nThis role plays a critical part in driving partner success through advanced business analysis, strategic recommendations, performance optimization, and cross-functional collaboration.\nThe successful candidate will act as a trusted business partner for senior stakeholders, helping shape strategic decisions through data-driven insights and deep understanding of the iGaming business ecosystem.\nResponsibilities\nLead analysis of partner performance, profitability, retention, and business growth opportunities\nOwn and continuously improve the analytical framework used to evaluate partner success\nAnalyze the effectiveness and ROI of bonus campaigns, promotional mechanics, loyalty initiatives, and retention activities\nIdentify business risks, performance bottlenecks, and emerging trends across partner portfolios\nDeliver strategic recommendations that improve partner engagement, player value, retention, and profitability\nDesign and develop advanced dashboards, KPI frameworks, and performance monitoring systems\nConduct deep-dive investigations into business issues and provide root-cause 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Churn, ARPU, ARPPU, LTV, CPA, ROI, and Player Segmentation\nExperience with predictive analytics, forecasting, and statistical modeling\nKnowledge of Python is a plus\nExperience leading analytical initiatives or mentoring analysts\nExcellent communication and presentation skills\nAbility to explain complex analytical findings to non-technical audiences\nAbility to challenge assumptions and drive data-driven decision-making\nStrong business partnering mindset","description_format":"text","description_chars":2685,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Growth 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