Product Analyst / Data Analyst
New
SpainFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- Ukrainian, Russian
- Experience
- Minimum 2 years
- Required Skills
- SQLMicrosoft Power BITableauProduct AnalyticsData visualizationA/B testingLooker
Requirements
- Minimum 2 years of experience in Product Analytics, Data Analytics, CRM Analytics, Marketing Analytics, or similar B2C-focused analytical roles.
- Strong SQL skills with experience analyzing large and complex datasets.
- Experience using BI and data visualization tools such as Tableau, Power BI, Looker, or similar platforms.
- Solid understanding of product and business metrics including conversion, retention, churn, engagement, revenue, deposits, and user activity.
- Hands-on experience with funnel analysis, segmentation, cohort analysis, hypothesis validation, and A/B testing methodologies.
- Strong analytical mindset with the ability to identify trends, uncover insights, and translate data into actionable business recommendations.
- Excellent communication and collaboration skills with experience working across product, marketing, CRM, business, and technical teams.
- Ability to structure analytical tasks, clarify business requirements, and communicate findings clearly to both technical and non-technical stakeholders.
- Proactive, detail-oriented, and results-driven approach with the ability to thrive in fast-paced product environments.
- Familiarity with data visualization best practices and stakeholder presentation techniques.
- Proficiency in Ukrainian or Russian for internal communication purposes is required.
Responsibilities
- Analyze user behavior across key product funnels including registration, deposits, engagement, retention, betting activity, and withdrawals.
- Monitor and evaluate core product KPIs such as conversion rates, churn, customer lifetime value (LTV), engagement, retention, and revenue performance.
- Prepare detailed analytical reports and dashboards to identify trends, opportunities, and business-impacting product insights.
- Support product teams by validating hypotheses, interpreting experiment results, and delivering actionable recommendations based on data analysis.
- Conduct A/B testing analysis and evaluate product experiments to optimize user experience and business outcomes.
- Perform user segmentation and cohort analysis based on behavioral patterns, lifecycle stages, activity levels, VIP potential, and retention indicators.
- Investigate anomalies, performance fluctuations, and unexpected changes in product or business metrics to identify root causes and improvement opportunities.
- Collaborate closely with Product, CRM, Marketing, Anti-Fraud, and operational teams to support data-driven product and business decisions.
- Build and present analytical summaries, performance reviews, and business recommendations for stakeholders and leadership teams.
- Contribute to improving reporting processes, data visualization practices, and analytical workflows across the organization.
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