Data Analyst – Middle

About the role

In this role, you will enhance SOFTSWISS's analytics capabilities by analyzing key product and business metrics. Your work will involve studying user behavior, retention, and conversion rates to provide insights that drive strategic decisions.

You will be responsible for building and maintaining BI dashboards, monitoring data quality, and conducting ad-hoc analyses to support product and leadership teams. Success in this position means delivering clear insights that help improve product performance and user experience.

Skills that matter here

• SQL: You will use SQL to extract, join, and prepare data for analysis, enabling you to analyze core business metrics.
• Tableau: Building and maintaining reporting dashboards in Tableau will be essential for visualizing product performance.
• Python: Experience with Python for analytics will enhance your ability to conduct data analysis and automate processes.

Who this role suits

• You have a strong analytical mindset and can interpret numbers in a business context.
• You can effectively communicate complex analytical findings to non-technical stakeholders.
• You thrive in a remote work environment and are comfortable collaborating with teams across different locations.
• You have a background in iGaming, fintech, or B2B SaaS, which helps in understanding product and business unit economics.

From the employer

• 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