Top Data Analyst Jobs in Hungary

Design, build and maintain interactive BI dashboards, perform exploratory analysis on commodity markets, ensure data quality and pipelines, produce KPIs and insight reports, and support stakeholders with self-service analytics and training.

Develop and maintain the front-end of a risk and analytics platform using React (or similar), implement front-office features, design backend API endpoints, build data visualizations (Plotly, ApexChart, D3.js), code/test/debug/monitor functionality, and collaborate with cross-functional teams on technical requirements.

Embedded with a product squad as the PMs' dedicated data partner, lead deep cross-product analyses focused on activation and adoption, design and evaluate experiments, improve instrumentation and event taxonomies, surface retention and cohort insights, and translate rigorous statistical analyses into actionable product recommendations.

Lead delivery of end-to-end data and analytics solutions: build dimensional models, develop Power BI dashboards, perform exploratory analysis, design Azure-based data pipelines, capture client requirements, run scenario modelling, test and assure solutions, prepare client communications and lead project teams.

Lead data and analytics projects: design dimensional models, build Power BI dashboards, run exploratory analysis, capture client requirements, develop end-to-end data pipelines on Azure, test and assure solutions, support client decision-making, and contribute to business generation and people development.

Process vendor invoices and usage data, resolve discrepancies in supply, pipeline, and utility invoices, generate client reports, coordinate with suppliers/utilities, support software testing, and analyze complex energy contracts to ensure data accuracy.

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.

The HR Data Analyst designs and maintains HR dashboards and reports, uses AI tools for analytics, and presents insights to stakeholders.

The Salesforce Data Analyst designs data architectures, analyzes patterns, develops predictive models, and leverages Salesforce data for decision-making.

This role involves analyzing employee engagement, culture, and DE&I metrics to provide actionable insights for HR leaders and stakeholders, using BI tools to create reports and dashboards, while ensuring adherence to data privacy standards.

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.

The Senior Data Analyst will analyze search performance data, design A/B tests, collaborate on the product roadmap, and utilize tools like dbt and Looker to create dashboards and insights.

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 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.

Own Growth analytics end-to-end: build and maintain production data pipelines and dbt models, define north-star metrics and dashboards, design and run A/B experiments using causal inference, embed LLM/GenAI tooling, and translate insights into strategic recommendations for leadership.

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.

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 role involves transforming Finance data capabilities, enabling analytics, migrating to Snowflake, collaborating with stakeholders, and ensuring data quality and governance.

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.