Data Analyst

We are looking for a Data Analyst for Spinlab.

Location: RemoteJob Type: Full-Time

About our client

Spinlab: We help slot gaming leaders unlock the potential of their data, enhancing business outcomes and strengthening their competitive edge in the market. We collect and process data using advanced methods and technologies to provide our clients with clear, actionable recommendations based on real metrics. SpinLab’s goal is not just to collect data but to help businesses use it for maximum efficiency and amplify their performance results.

Responsibilities

• Analyze large volumes of game and player data to identify patterns, trends, and dynamics , and turn them into clear business conclusions.
• Translate findings into practical recommendations for product improvements , highlighting what works, what doesn’t, and what opportunities to explore.
• Perform deep-dive investigations into performance anomalies or game features to explain what happened and why.
• Collaborate with game designers, product managers, and developers to shape hypotheses and validate them through experimentation.
• Support development and testing of predictive models (e.g., player LTV, churn, bonus optimization).
• Communicate complex insights in a simple, compelling way to both technical and non-technical audiences.
• Help define metrics frameworks for new products or features , expanding high-level requirements with your analytical thinking and product insights.
• Build dashboards and reports to help stakeholders monitor key KPIs and make data-driven decisions.

Requirements

• 3+ years of experience as a Data Analyst or Data Scientist, preferably in the gaming or tech industry.
• Strong analytical mindset and ability to find the story in the data: uncovering trends and explaining them in clear business terms.
• Strong experience in SQL (BigQuery, PostgreSQL, or similar), and comfort working with large datasets.
• Solid knowledge of data visualization tools (e.g., Tableau, Power BI, Looker, or similar).
• Practical experience with Python for data analysis and modeling.
• Familiarity with statistical testing, experimentation, and predictive modeling techniques.
• University degree in mathematics / computer science / technology / engineering.
• English B2+.

Will be a plus

• Knowledge of the iGaming industry or understanding of slot game mechanics.
• Ability to look at games from players' point of view.
• Product mindset: the ability to go beyond numbers and propose actionable solutions that make an impact.

Benefits

• Work on meaningful data products and shape them with your vision.
• 25 vacation days + 15 sick days + 1 birthday leave.
• Budget for English classes.
• Budget for health insurance.
• Annual education & development budget.
• Flexible, remote-friendly culture with a small, dedicated team.