Data Analyst, Czechia or Slovakia based

We are looking for an experienced Data Analyst to join a long-term project for an international client. The role will focus on working with business and operational data translating requirements into meaningful analysis and supporting data-driven decision-making.

Details

• Contract: B2B
• Duration: Long-term contract
• Location: Remote from Czechia or Slovakia (travel to Prague may only be required for onboarding)
• Languages: Czech or Slovak English

Responsibilities

• Analyze large and complex datasets to identify trends patterns and business insights
• Translate business requirements into analytical solutions and data outputs
• Prepare reports dashboards and ad-hoc analyses
• Write and optimize SQL queries for data extraction and analysis
• Validate data quality consistency and completeness
• Work with multiple data sources and support data integration activities
• Define and document business metrics KPIs and reporting requirements
• Cooperate with business stakeholders developers data specialists and other technical teams
• Investigate data discrepancies and support troubleshooting of data-related issues
• Contribute to improving reporting and analytical processes

Requirements

• Commercial experience as a Data Analyst BI Analyst or similar
• Strong SQL skills
• Experience working with relational databases and complex datasets
• Good understanding of data modelling and data structures
• Experience creating reports dashboards and business-oriented analyses
• Ability to translate business questions into clear analytical requirements
• Strong analytical and problem-solving skills
• Good communication skills and ability to work with both technical and non-technical stakeholders
• Ability to work independently within a distributed international team
• Czech or Slovak language
• Good working knowledge of English

Nice to Have

• Experience with Power BI or another BI / visualization platform
• Experience with ETL / data transformation processes
• Basic understanding of data warehouses and modern data platforms
• Experience working with financial credit or other data-intensive systems
• Python knowledge for data analysis or automation