Top Data Analyst Jobs in Hungary

As a Lead Data Analyst, you'll analyze large datasets to provide insights for strategic decisions, ensure data quality, and mentor team members in best practices while collaborating with Data Engineering.

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 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.

This role involves analyzing multilingual data, improving text classifier outputs, translating content between English and Romanian, and documenting findings to ensure quality.

The PC&L Master Data Analyst manages Master Data in SAP systems, analyzes data quality issues, ensures compliance with standards, and coordinates with cross-functional teams for data integrity and process improvements.

As a Supply Chain Data Analyst, you'll generate reports, integrate data from multiple sources, improve data processes, and partner with stakeholders to drive efficiency in Global Supply Chain operations.

The Psychometric Properties Data Analyst Manager oversees psychometric evaluation of Clinical Outcome Assessments, ensuring data quality and methodological accuracy. Responsibilities include curating psychometric data within the COA Accelerator platform and collaborating with stakeholders to enhance data models.

Assist with safety, pharmacovigilance, and regulatory activities including coding, data management, validation, and adherence to guidelines for clinical trials and safety programs.

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.

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 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.

The Senior Data Analyst will conduct data analyses, support stakeholders with insights, design dashboards, and improve data quality to enhance user experiences and inform business strategies.

As a Data Business Analyst, you'll design data models, develop semantic capabilities, manage projects, and assist business partners in leveraging data techniques within the Non-Financial Risk domain.

The Data Privacy Senior Analyst will support cross-border data transfer clearance, ensure compliance with regulations, and collaborate with various teams for data security initiatives.

The Senior Analyst is responsible for governance and oversight of data transfer activities related to Privacy, ensuring compliance with regulatory requirements. Key responsibilities include developing frameworks, monitoring controls, managing risks, and liaising with stakeholders for effective data governance.

The Senior Data Analyst will own data pipelines, develop scalable Looker solutions, optimize data processes, and partner with stakeholders for actionable insights in a B2B SaaS environment.

The Data Privacy Lead Analyst oversees daily operations for governance and risk management related to data privacy, ensuring compliance with policies and standards while assessing privacy impacts and controls across business initiatives.