Top Data Analyst Jobs in Prague

As a Data Analyst, you will work on transformation projects with large banks, focusing on data analysis, business process optimization, and agile method implementation.

The Senior Business Intelligence and Data Analyst designs and develops BI solutions, transforms complex data into actionable insights, and governs data architecture within the EMEA commercial organization.

The Senior Business Intelligence and Data Analyst designs and develops Power BI solutions, manages data models, optimizes performance, and ensures data integrity for insights-driven decision making.

The Senior Business Intelligence and Data Analyst designs and develops scalable BI solutions, data architectures, and governance frameworks, enabling data-driven decisions and insights across the EMEA organization.

The Data Analyst will manage client reference data, improve data quality, resolve integration challenges, and provide client support. The role involves coordinating with stakeholders to ensure data integrity and enhance the user experience on the platform.

The Senior Research Data Analyst conducts statistical analyses in health outcomes research, develops analysis plans, and supports study operations, including protocol development and literature reviews.

The Data Analyst will create dashboards, analyze billing data, and derive insights for product development and costs related to AI platforms.

The Lead Billing Data Analyst will own data strategy for subscription billing, enhance performance metrics, guide a team of analysts, and ensure effective reporting and analytics are conducted.

Design and implement AI projects, balance technical complexity with business impact, and collaborate with stakeholders to deliver value using AI and data.

The Client Engagement Data Analyst - AI will manage data signals for AI insights, develop data structures, and ensure effective reporting, while empowering teams in AI adoption.

Provide quantitative analysis and actionable insights for World of Tanks; model and evaluate new features and events across development stages; build dashboards and analytical tools; gather requirements from product teams; present results and maintain the product analytics knowledge base.

The Senior Data Analyst will apply analytics to business problems, developing data products and collaborating with teams to deliver solutions while maintaining quality code.

The BI Analyst develops and enhances BI reports and dashboards across various corporate functions, ensuring high data reliability and promoting best practices in data visualization.

The Finance Systems Data Analyst supports the Finance organization by ensuring data accuracy across SAP and Snowflake, optimizes data flows, automates reporting, and enhances financial decision-making.

The Finance Systems Data Analyst ensures accuracy and accessibility of financial data across SAP and Snowflake, optimizing data flows and reporting.

The Data Analyst will focus on compliance and regulatory reporting, transforming complex data into actionable insights, automating data solutions, and supporting audit requirements within the financial services sector.

Analyze billing performance, build and maintain data pipelines, run A/B tests, apply statistical forecasting and scenario modeling, collaborate with cross-functional teams, and provide recommendations to reduce risk, disputes, churn, and operational inefficiencies.

As a Data Analyst at Thrill Labs, you will analyze datasets to provide insights, develop dashboards, and collaborate with teams to drive product and operational strategies.

The Senior Data Analyst will create and enhance reports, analyze data, provide insights, and design data models using SQL, collaborating with various teams to drive decision-making.

The Senior Data Analyst will manage subscription billing analytics, optimize queries in ClickHouse, and create dashboards for stakeholders. Responsibilities include data pipeline maintenance and anomaly investigation.

As a Senior Data Analyst, you will analyze data to generate insights, create reports and dashboards, and collaborate with product teams, driving strategic decisions based on data.