Product analyst
We’re an ambitious company building a fast-growing brand in the US market 🇺🇸.
Here, you’ll have the opportunity to work in a transparent, white-label business, make a real impact on the product, and help scale campaigns seen by thousands of users every day 🚀.
🧠 Our Ideal Candidate
2–4 years of experience as a Data or Product Analyst in product-oriented companies.
Proven experience building metric systems, tracking, and dashboards from scratch.
Strong SQL skills.
Experience with Python (pandas, numpy, scikit-learn or AI tools) for automation and modeling.
Deep understanding of Microsoft Power BI: data models, Power Query, DAX, and performance optimization.
Experience with analytical tools (Google Analytics, Amplitude, Looker Studio, Tableau, etc.).
Practical experience with predictive / clustering models and analysis automation.
🌟 Nice to Have
Understanding of the product lifecycle: cohort analysis, LTV, retention, funnel metrics.
Experience in iGaming or digital products.
Strong data storytelling skills — ability to present insights visually and clearly.
Responsibilities:
📈 Develop, maintain, and optimize Power BI dashboards: build data models, write DAX formulas, automate refreshes, and improve data structures.
🧮 SQL analytics: write complex queries, work with large datasets, validate data, prepare extracts, and check calculation logic.
🧪 Support A/B tests: analyze results, check statistical significance, and prepare actionable recommendations for product decisions.
⚡ Handle ad-hoc requests from product, marketing, and operations teams — deliver quick insights and data-driven answers.
💡 Collaborate with cross-functional teams, proactively providing insights to improve content, product, and marketing performance.
✅ Data validation: ensure data quality, detect inconsistencies, and align with tech teams.
🤖 Build predictive models using Python / AI tools to model user behavior, forecast metrics, and perform segmentation.
💼 We Offer
Flexible working hours to fit your natural rhythm ⏰ (08:00–17:00, 09:00–18:00, or 10:00–19:00 — your choice).
17 paid vacation days (available after 6 months).
Salary in USD 💵.
Team challenges and corporate events that are genuinely fun to attend 🎯.
A real impact — your decisions will shape the product and the company’s future 🌍.
Required skills experience
| Power BI | 1 year |
| Python | 6 months |
| SQL | 1.5 years |
| Data analysis | 2 years |
| DAX | 1 year |
Required languages
| English | B1 - Intermediate |