Top Data Analyst Jobs in Hungary

Maintain and govern Sanofi’s commercial reference data and codelists in Informatica MDM. Query and profile data using SQL, perform quality checks, analyze Snowflake data flows, assess downstream impacts, coordinate testing and deployments, document approvals, support Power BI reporting, manage access requests, and track work in Jira. Collaborate with global data owners, stewards, and technical stakeholders while ensuring compliance with privacy, GxP, SOX, and cybersecurity standards.

Maximize the value of People technology platforms by improving HR service delivery, user experience, processes, reporting, and operational efficiency. Analyze workforce data, identify trends and risks, provide recommendations, support system initiatives, maintain data governance, and partner with HR, Technology, and business stakeholders. The role also involves research, continuous improvement, stakeholder communication, and mentoring junior colleagues.

Analyze hotel supply data to support commercial and Cloud teams, evaluate partner and chain performance, identify inventory gaps and data-quality issues, and improve reporting consistency. The role involves clarifying ambiguous requests, delivering end-to-end analyses, building trusted dashboards or data products, and communicating findings to nontechnical stakeholders. Experience with SQL is required, while dbt, data modeling, and marketplace or platform experience are advantageous.

Own analytics for Nuitee’s global travel marketplace, analyzing enterprise partners, self-service API adoption, bookings, product performance, and customer behavior. Build and validate dbt models, data pipelines, experimentation capabilities, and analytical products end to end. Partner with senior Product, Engineering, and commercial leaders to establish trusted metrics, resolve reporting inconsistencies, identify growth opportunities, and influence product and business decisions in a fast-moving startup environment.

Supports client onboarding for market data exchanges, administers vendor entitlements, manages user provisioning and permissions, handles service requests, and obtains exchange approvals. Completes regulatory and exchange reporting, maintains compliance with vendor policies, supports clients and sales activities, produces inventory reports, improves internal processes, and maintains onboarding documentation. The role also communicates procedures, trains internal teams, and coordinates exchange-related projects.

Build scalable data architectures, dashboards, ETL strategies, and AI-enabled analytical solutions using Salesforce data platforms. Analyze patterns, create forecasts and predictive models, and deliver actionable insights for business decision-making. Collaborate cross-functionally to align analytics solutions with business goals and architecture standards. The role requires experience with Salesforce data, Tableau or Power BI, statistics, Python, structured and unstructured data, predictive modeling, AI technologies, and Salesforce Service Cloud.

Lead analytics for subscription products and web funnels, partnering with Product, Marketing, and Data teams to improve conversion, retention, and LTV. Build trusted dashboards, SQL data models, event tracking structures, funnel and cohort analyses, and A/B testing insights. Monitor metrics, identify anomalies, communicate recommendations, and mentor junior and mid-level analysts while maintaining reliable reporting and data foundations.

Provides recurring and ad hoc reports to internal customers, including data extraction, manipulation, quality controls, documentation, and report delivery. Supports reporting consultancy, automation, process improvements, system integration, and development of queries and reports using SQL, Discoverer, and related tools. Maintains process knowledge, supports audits, resolves customer requests, and assists with integrating SAP and other non-Oracle locations into the corporate reporting system.

Leads Salesforce enterprise data governance, hygiene, quality, privacy, compliance, and Data Cloud operating standards. Establishes data rules, stewardship models, identity resolution practices, remediation processes, metrics, and executive reporting. Partners with security, legal, architecture, integration, MDM, ERP, and AI teams to ensure trusted, compliant data. Requires Salesforce Data Cloud certification, a bachelor’s degree, and 7+ years of relevant experience. Includes approximately 10–20% global travel.

Leads Salesforce data stewardship across requirements, migration, cleansing, governance, quality monitoring, issue remediation, and cutover readiness. Defines data standards, field rules, validation criteria, and documentation while coordinating business and technical teams. Supports integrations, reporting impacts, compliance, audit activities, user training, and data quality improvement. Requires Salesforce Data Cloud certification, strong data management experience, and approximately 10–20% global travel.

Analyze FMCG sales, pricing, promotions, customer, product, margin, market share, and competitor data to support revenue growth management. Develop pricing and price elasticity models, identify commercial opportunities, create visualizations and actionable insights, and translate analytical needs into product requirements, user stories, and business rules. Collaborate with stakeholders, product managers, data engineers, developers, and commercial teams to build scalable digital analytics solutions.

Develops and maintains forecasting models for clinical site payments, integrating Medidata Payments data and supporting financial reporting. Analyzes plan-versus-actual performance, budget variances, and forecast risks; prepares client-ready reports and reconciliations. Partners with Revenue Recognition, Clinical Operations, Project Analysis, and planning teams to support audits, change orders, study closeouts, compliance, and sponsor reporting requirements.

Monitors medical device complaint data flowing from Salesforce into Snowflake, maintains Power BI dashboards, performs SQL trend analyses, and presents signal detection findings to QA, regulatory, and operations teams. Ensures data quality, traceability, documentation, and alignment with post-market surveillance, complaint-handling, audit, and regulatory requirements.

Analyze and improve fraud signals and user segmentation for Puzzleplay’s rewards platform. Investigate suspicious and manually reviewed users, monitor segment effectiveness, identify gaps in detection, and recommend verification tools. Collaborate with product and data teams to turn analysis into operational fraud controls across different markets as fraud patterns evolve.

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.

Design finance data models, requirements, mappings, standards, lineage, and scalable data solutions. Support migration to Snowflake, data quality and governance, regulatory reporting, automation, and AI-enabled analytics. Collaborate with Finance, Data, and Technology stakeholders to translate business needs into technical specifications and improve data accessibility, reliability, and usability.

Own end-to-end analytics for subscription products and web funnels, including KPI definition, dashboards, funnel and cohort analysis, payment performance, user behavior, experimentation, and anomaly monitoring. Build reliable SQL data models and maintain event taxonomies and tracking. Partner cross-functionally with Product, Marketing, Engineering, Finance, and BI to improve conversion, retention, revenue, and LTV. Mentor analysts and communicate actionable recommendations to stakeholders.

Own end-to-end product and marketing analytics for subscription products and web funnels. Define KPIs, build trusted dashboards and reusable SQL data models, analyze funnels, cohorts, retention, LTV, churn, and user behavior, and identify optimization opportunities. Maintain event tracking and taxonomy, monitor anomalies, communicate insights to stakeholders, and mentor junior and mid-level analysts. Collaborate cross-functionally with Product, Marketing, Data Engineering, and BI teams to support experimentation and data-driven decisions.

The Senior Data Analyst will provide product, operations, and business analytics; analyze internal, market, and customer data; translate findings into actionable insights; improve product features; define data models; ensure data quality; and build dashboards and analytical models using Snowflake, Looker, Amplitude, and related tools. The role also involves A/B testing, causal inference, stakeholder communication, and collaboration with data engineers.

As an Optimization Lead, you will maximize campaign performance using data-driven insights and collaborate with various teams to implement optimization strategies.

Ensures the quality, completeness, and accuracy of mortgage valuation data across reporting and valuation processes. Responsibilities include data validation, reconciliations, anomaly investigation, root cause analysis, output verification, stakeholder coordination, testing, documentation, audit controls, and process improvement. The role supports implementation of a new mortgage valuation platform and bridges Finance, Risk, Technology, data providers, 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.

Lead analysis and visualization of complex datasets to support pricing, product, customer, market, supply chain, inventory, and operational decisions. Develop executive reporting, scalable data models, self-service analytics, and AI-enabled data quality capabilities. Investigate discrepancies, improve processes, define data requirements, and collaborate with global cross-functional teams. Translate complex insights for technical and non-technical audiences while mentoring junior analysts and driving continuous improvement.

Leads complex data acquisition, analysis, visualization, and executive reporting across pricing, products, supply chain, inventory, and business performance. Builds scalable data models, improves self-service analytics and data quality, evaluates AI-enabled analytics capabilities, and translates transactional data into actionable recommendations. Partners with global cross-functional stakeholders, defines analytical requirements, supports process improvements, communicates insights clearly, and mentors junior analysts.

Partner with founders and cross-functional teams to analyze financial and operational data, build executive dashboards, create P&L and margin analyses, forecast and model unit economics, identify cost leaks, reconcile transactions, and present recommendations to improve profitability, cash flow, and business performance.