Data Analyst – Middle

🔥 13 hours ago

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 10%

infoinfo

🗣️🇷🇺 Russian Required

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Logo of SOFTSWISS

SOFTSWISS

1001 - 5000 employees

💼 Consulting

📣 Marketing

🎮 Gaming

Consulting • Marketing • Gaming

SOFTSWISS is a leading provider of iGaming software solutions, offering a wide range of products including iGaming Platform, Sportsbook Platform, Game Aggregator, Jackpot Aggregator, and more. Established in 2009, SOFTSWISS has grown to employ over 1,700 people across 4 international offices in Poland, Georgia, Malta, and several remote locations. The company is known for its innovation in the iGaming industry, being the first Crypto iGaming provider in the world. SOFTSWISS not only promotes a dynamic and flexible work culture with comprehensive employee benefits but also commits to social responsibility by supporting various campaigns and initiatives.

📋 Description

• Analyse key product and business metrics, including user activity, retention, conversion, revenue-related metrics, and other core KPIs • Study user behaviour across the customer journey through cohort, funnel, and lifecycle analysis • Extract, join, and prepare data for analysis using SQL • Build and maintain reporting and BI dashboards, preferably in Tableau • Investigate anomalies and performance deviations, identify problems, and diagnose root causes • Run ad-hoc analyses for product and leadership teams to support tactical and strategic decisions • Monitor data quality and consistency across product and financial data • Document metric definitions, analytical approaches, and key findings • Provide insights and clear recommendations to product and business teams

🎯 Requirements

• 3+ years as a Data Analyst / Product Analyst / Operations Analyst • Strong analytical thinking and the ability to interpret numbers in a business context • Solid understanding of core analytics concepts: funnels, cohorts, retention, and lifecycle metrics • Ability to translate business questions into analytical tasks and explain results clearly to non-technical stakeholders • SQL: confident reading and writing analytical queries (joins, aggregations, window functions) • Experience with BI tools, ideally Tableau • Fluent Russian, both spoken and written • English B2, both spoken and written • Experience in iGaming / fintech / B2B SaaS is a nice to have • Understanding of product and business unit economics, including revenue drivers, conversion, retention, customer value, and profitability metrics is a nice to have • Basic statistics: confidence intervals, p-values, common pitfalls in experiment interpretation is a nice to have • Experience with ClickHouse is a nice to have • Python for analytics is a nice to have

🏖️ Benefits

• Full-time work opportunities • Private insurance • An additional Day Off (1) per calendar year • Sports program compensation • Comprehensive Mental Health Programme • Free online English lessons with native speakers • Generous referral program • Training, internal workshops, and participation in international professional conferences and corporate events

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