Senior BI Analyst (Product)

Навыки

• A/B-тесты
• ARPU / ARPPU
• BI-инструменты
• CAC / CPA / CPL
• Анализ данных
• Решения на данных
• Data Quality

О компании и продукте

• We are looking for a BI Analyst with strong Power BI skills and experience in product analytics and fraud detection

Задачи

• Build and maintain Power BI dashboards, data models, and DAX measures
• Track product KPIs: acquisition, activation, retention, engagement, conversion, churn, LTV, and revenue
• Perform ad-hoc analysis to support product launches, A/B tests, feature adoption, and user funnel optimization
• Conduct cohort, funnel, retention, and segmentation analysis
• Help investigate fraud and abuse cases through data analysis - spot suspicious patterns and anomalies in user behaviour
• Talk to stakeholders (finance, operations, product) to understand what they need and turn that into analytics solutions
• Prepare and deliver reports to stakeholders, clearly summarizing key findings and offering data-driven recommendations to enhance processes and overall business performance
• Work with data engineers to make sure data from source systems is accurate and well-organized
• Spot inefficiencies in processes and suggest improvements
• Join FxPro : a leading international fintech company
• Be a part of our expanding international team, with offices in Limassol, London, Nassau, Dubai, and Yerevan
• FxPro boasts a diverse workforce of over 600 employees representing 50 nationalities, making it an exciting and dynamic workplace
• At FxPro , we see each team member as an integral part of our success story
• You will design and maintain dashboards, monitoring tools, and analytical solutions that help measure product performance, make data-driven decisions and help the team spot suspicious patterns in user activity

Требования

• Bachelor’s or Master’s degree in Mathematics, Statistics, Economics, Computer Science, or a related field
• Proven experience in data analysis and statistical modeling
• Proficiency in SQL (at least at a basic level)
• Hands-on experience with Power BI at a Data Analyst level, including ETL processes, DAX and M language, data modelling, creating effective data visualizations and dashboards
• Comfortable with core product metrics: DAU/MAU/WAU, retention curves, conversion funnels, activation, churn, ARPU/ARPPU, LTV, CAC
• Familiarity with A/B testing - how to design tests and read results
• Awareness of common fraud / abuse patterns: multi-accounting, bonus abuse, fake registrations, scripted/bot activity, payment-related anomalies
• Can explain complex data in simple terms to non-technical audiences
• Collaborative - comfortable working across different teams
• Detail-oriented and takes data quality seriously
• Proactive in finding problems and suggesting solutions

Будет плюсом

• Python or R for ad-hoc analysis, automation, or basic anomaly detection
• Exposure to behavioral analytics, anomaly detection, or basic ML concepts

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