Top Data Analyst Jobs in Krakow

Maintain and validate global customer master data across systems (Salesforce, Jira), perform deduplication and hierarchy management, conduct compliance checks (embargo/VAT screening), monitor CMD dashboards, support cross-functional teams to resolve data anomalies, and drive data integrity projects and process improvements.

The Revenue Management Pricing Analyst directs price strategy, develops complex pricing models, collaborates with teams, and ensures compliance with standards.

Work on supply-side product and business analytics for direct accommodation contracts. Build and automate reporting, analyze internal/external data, design prioritization/segmentation and predictive algorithms, and partner with product, commercial, and international teams to improve supplier performance and guide strategic decisions.

Partner with cross-functional teams to turn data into insights, build and maintain impactful dashboards, run analyses using SQL and visualization tools, support A/B testing and retention/churn projects, and collaborate with data engineers to ensure data quality and availability.

The Business Analyst will bridge business stakeholders and technical teams, focusing on Oracle CDM, data analysis, requirement gathering, and process documentation to ensure data quality and management.

As a Senior Data Analyst, you will analyze data, create reports, manage data pipelines, and provide insights to influence product decisions. You will collaborate with various teams and perform A/B testing.

Lead retention and marketing analytics: build lifecycle and segmentation frameworks, design and analyze A/B tests, drive personalization and KPI dashboards, automate retention reporting, and partner with Marketing, CRM, Product, and Data Engineering to turn insights into action.

Lead product analytics across multiple products: own event tracking, funnel analysis, A/B testing framework, AI/LLM-driven insights, dashboards, and reporting. Ensure data quality, define KPIs, run experiments, automate monitoring, and collaborate with Product, Engineering, Marketing, and leadership to drive data-driven decisions.

Analyze user behavior on websites and apps, focusing on KPIs and data visualization. Build dashboards, run A/B tests, and communicate findings to stakeholders.