Uptowin

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
Power BI, Python, SQL, Data Visualisation, Data Analysis, MySQL, numpy, DAX
Published 27 October · Updated 27 November
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