Data Analyst
Analyze iGaming/Web3 data to drive product decisions, build BI dashboards, and run A/B tests using SQL, Python, and tools like Power BI or Amplitude.
- Compensation
- Not disclosed
- Location
- Europe
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Data analytics
- Posted
Skills
Full description
Phoenix Games is an innovative technology company building next-generation iGaming and Web3 products for a global audience. By combining AI, blockchain, cloud technologies, and advanced analytics, we create engaging digital experiences powered by data.
We're looking for a Data Analyst who is passionate about transforming data into actionable insights and helping shape product strategy through analytics.
What You'll Do
Analyze product, marketing, and business data to identify trends, opportunities, and risks.
Build and maintain dashboards, reports, and KPIs using modern BI tools.
Monitor player behavior, retention, engagement, and monetization metrics.
Perform ad hoc analysis to support product and business decisions.
Design and analyze A/B tests and feature experiments.
Work closely with Product Managers, Marketing, Finance, and Engineering teams.
Validate data quality and investigate anomalies.
Automate recurring reports and improve reporting processes.
Present insights and recommendations to stakeholders in a clear and actionable way.
Tech Stack
SQL
Python (Pandas, NumPy)
Power BI / Tableau / Looker
PostgreSQL
BigQuery / Snowflake (nice to have)
Google Analytics 4
Amplitude / Mixpanel
Excel / Google Sheets
Git (nice to have)
Requirements
2+ years of experience as a Data Analyst, Product Analyst, or Business Analyst.
Strong SQL skills and experience working with relational databases.
Experience with BI and data visualization tools.
Understanding of statistics and A/B testing methodologies.
Strong analytical thinking and attention to detail.
Ability to communicate complex findings in a simple and business-friendly way.
Experience working with large datasets.
Upper-Intermediate English or higher.
Nice to Have
Experience in Gaming, FinTech, SaaS, or E-commerce.
Experience with product analytics platforms (Amplitude, Mixpanel, GA4).
Python for data analysis and automation.
Knowledge of predictive analytics.
Familiarity with blockchain or Web3 products.
What We Offer
Fully remote work from anywhere in Europe.
Long-term B2B cooperation.
Competitive salary paid in EUR or USD.
Annual salary reviews.
Performance-based bonus program.Annual company bonus.