Top Data Analyst Jobs in Budapest

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.

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 operational customer and product master data in SAP and related systems (creation, maintenance, pricing, contracts). Ensure data quality, SOX/GDP compliance, perform audits and bona fide checks, coordinate with cross-functional teams, and support continuous improvement to prevent supply issues.

Use procurement, BOM, and pricing data to produce and automate reports, dashboards, and ad-hoc analyses that identify cost‑saving opportunities, track VAVE and price changes, and support procurement decision‑making across programs and projects.

Lead analytics strategy and partner with Finance, Sales, Marketing, and Product to design, automate, and maintain metrics, dashboards, and analyses. Ensure data quality (dbt), build scalable analytics solutions, embed AI-driven and agentic workflows, and translate insights into actionable business outcomes to improve acquisition, retention, and growth.

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 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.

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

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.

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.

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.

Manage, migrate and validate ETL pipelines; ensure data quality; support Snowflake operations; troubleshoot pipeline issues; liaise with business stakeholders and SMEs; document and track migration and operational work.

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.

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.

Support a UK healthcare/pharmacy client in enterprise data strategy, governance and data quality. Coordinate data backlog, establish governance and ownership models, contribute to customer data strategy, and help define reporting and analytics operating models. Prepare analysis, documentation and recommendations for programme 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.

Perform hands-on data analysis and support EMEA commercial and sales teams. Build and maintain Power BI dashboards and reports, optimize SQL queries, support data modeling and ELT processes, manage Power Automate workflows, ensure reporting accuracy, handle ad-hoc requests, and collaborate with senior analysts while contributing to process improvements and learning.

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.