SOFTSWISS is seeking a Middle Data Analyst to enhance its analytics team, focusing on product performance and user behavior analysis.
SOFTSWISS is expanding its analytics team and is looking for a Data Analyst to help gain full visibility into the performance of our products. The role is focused on analysing key product and business metrics, user behaviour, and performance changes.
- 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.
- Work with databases: extract, join, and prepare data for analysis using SQL.
- Build and maintain reporting and BI dashboards (preferably in Tableau) for product and management needs.
- Investigate anomalies and performance deviations — identify problems and diagnose their 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.
- 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.
- Nice to have: Experience in iGaming / fintech / B2B SaaS. Understanding of product and business unit economics, including revenue drivers, conversion, retention, customer value, and profitability metrics. Basic statistics: confidence intervals, p-values, common pitfalls in experiment interpretation. Experience with ClickHouse. Python for analytics.
- 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