Top Data Analyst Jobs in Hungary

Support optimization of Dynamic Creative Optimization (DCO) campaigns by monitoring performance, managing budgets, running A/B tests, performing analyses across sites/devices/creatives/audiences, and creating reports and insights for clients and internal stakeholders.

Analyze product, marketing, and operational data to identify trends and growth opportunities across mobile subscriptions. Design and interpret A/B tests, define and track core KPIs, build automated reports and clean data structures, and provide cross-functional, data-driven recommendations to optimize growth and retention.

Design and implement data analyses and visualizations for Internal Audit. Compile data from SAP, AWS and local systems, automate reports and queries, support audit assignments and audit management software, and advance data analytics portfolio and digitalization projects.

Lead marketing measurement and signal engineering: design and maintain server-to-server conversion pipelines, manage GTM and pixels, monitor signal quality and diagnostics, maintain UTMs and attribution, build reporting and marketing datasets, and onboard new ad platforms to improve campaign optimization.

Partner with Marketing, Sales, Finance, Product and other teams to turn business questions into actionable analysis. Own end-to-end analytics: build datasets and dashboards (dbt, LookML), maintain metric definitions and caveats, use and curate agent tooling for trustworthy answers, and contribute small data platform and pipeline improvements.

Lead the billing analytics function: build and maintain billing data pipelines and dashboards, analyze payments/renewals/refunds/disputes, run experiments and forecasting, reduce churn and disputes, and manage/mentor a team of analysts while partnering with Billing, Support, Finance, Product, and Marketing.

Analyze billing and support performance, build and maintain data pipelines, apply statistical forecasting and A/B testing, collaborate cross-functionally, document analyses, and provide recommendations to reduce financial risk, disputes, churn, and operational inefficiencies.

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.

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.

Own end-to-end product analytics for the Pro team: build production-grade pipelines and dbt models, define north-star metrics, design A/B tests and causal inference frameworks, create dashboards and metric frameworks, embed AI tooling, and translate insights into product recommendations for leadership.

Analyze large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.

Early-career Data Analyst responsible for designing and owning core metrics and dashboards, analyzing transaction/customer/credit data to inform credit, fraud, AML, portfolio and growth decisions, building data pipelines and automations with SQL and Python, partnering with cross-functional teams, and owning compliance reporting. Emphasis on turning ambiguous problems into reliable analytical systems and applying GenAI/LLMs for practical automation.

Analyze and instrument offsite discovery and SEO/GEO performance for ecommerce sites. Build integrations, ETL pipelines, and models to track organic and AI-driven traffic. Create tooling and frameworks for technical site audits, landing page modelling, SEO experiments, and enablement for product and customer teams.

Design and implement enterprise-scale data pipelines, build governed Power BI datasets and dashboards, optimize cloud-based data workflows using Snowflake and Microsoft Fabric, apply data governance and performance optimization, and partner with finance and business stakeholders to drive analytics, automation and AI-enabled insights.

Drive HR data quality and AI readiness by identifying root causes, implementing remediation, building automated validation and anomaly detection, partnering with Workday and process owners, and ensuring global HR data governance and standards for reporting, payroll, and AI/ML inputs.

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.

Manage and migrate ETL pipelines, validate pipeline builds and data quality, troubleshoot discrepancies, support data migrations and Snowflake operations, communicate with business stakeholders, document and track handovers, and collaborate to maintain best practices.

Lead insider risk and data loss investigations from triage to closure, operate and tune DLP across environments, build detections and workflows, partner with HR/Legal/Compliance/IT, mature insider risk program, support audits, and mentor others.

Serve as the data product owner and liaison between client stakeholders and delivery teams. Write and prioritise user stories, manage the backlog, facilitate Agile ceremonies, validate story completion, map data products to sources, ensure data quality and reconciliation within a medallion architecture, and report delivery metrics while supporting account growth.

Lead data quality, investigation, remediation and automation for Workday Skills and Job Architecture. Use Python and SQL to profile and fix HR datasets, build data quality pipelines in Snowflake, create monitoring dashboards, and partner with stakeholders to ensure AI-ready data and governance compliance.

Consult with stakeholders to translate business needs into SAP BW technical requirements, guide SAP BW development and testing, optimize SAP BW usage, maintain mappings and master data, produce end-user documentation, and support agile planning and sprint execution.

Analyze large-scale user and product data, design and evaluate A/B tests, define and validate product and business metrics, build dashboards and reports, and partner with engineers, data scientists, product, and customers to translate insights into product improvements.

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.