Data Analyst

SOFTSWISS; Poland; On-site; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Private insurance

Extra day off

Sports program

English lessons

Training and workshops

Conference participation

Job summary

SOFTSWISS is expanding its analytics team and is looking for a Data Analyst to help gain full visibility into the performance of our products. In this role you will analyse product and business metrics, study user behaviour across different stages of the customer journey, and uncover root causes behind performance changes, translating insights into clear recommendations for product and business teams.

Your work will involve SQL analysis, building reporting, investigating anomalies, and providing

Qualifications

• 3+ years of experience as a Data Analyst or related role.
• Strong analytical thinking and ability to interpret numbers in a business context.
• Solid understanding of funnels, cohorts, retention, and lifecycle metrics.
• Ability to translate business questions into analytical tasks and explain results 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.

Responsibilities

• 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.

Skills

Analytical thinking

Business context interpretation

Translating questions into tasks

SQL

Tools

Tableau

Python

ClickHouse

Job description

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. We are looking for an analyst who can work confidently with data, identify meaningful insights, and translate them into clear recommendations for product and business teams.

Purpose of the role:

In this role, you will analyse product and business metrics, study user behaviour across different stages of the customer journey, and uncover the root causes behind performance changes.

Your insights will support better product and business decisions. You will work with SQL and BI tools to prepare data, build reporting, investigate anomalies, and provide ad-hoc analytical support to stakeholders.

Key responsibilities:

• 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.

Required Experience:

• 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
• Free online English lessons with native speakers
• Training, internal workshops, and participation in international professional conferences and corporate events