Könyvelő program állások Külföldön (adatbázisszakértő)

• Supporting the design, development, and enhancement of Power BI dashboards for EQ functional areas.
• Building data models, data pipelines, and semi‑automated refresh processes.
• Identifying, structuring, and documenting relevant data sources.

• A dynamic and interdisciplinary research environment
• Hands-on experience with EEG and fNIRS data acquisition and lab equipment
• Exposure to state-of-the-art methods in neural signal processing and data curation

• Combine curiosity, fast understanding of business processes, and strong analytical skills to identify and implement impactful Data Science solutions
• Lead end-to-end development and operationalization of Machine Learning models within a team of experienced Data Scientists and Data Engineers

Own the Data Science behind our business steering: Unite isolated ML models into a single decision layer that powers budget allocation and conversion rate optimization, creating bottom‑line impact worth millions....

• Modeling data using M-Code and DAX
• Preparing data after SQL import for further processing in Power BI
• Creating Power BI dashboards for a department
• Analyzing company data to support data-driven decision-making
• Ensuring data quality and integrity
• Developing requirements for new data

Designing and implementing robust software solutions for optimization and quantum algorithms, integrating them into enterprise-grade systems....

• Support KPI and management reporting; develop and maintain senior management dashboards (Power BI)
• Build Power BI data models and Power Apps/Power Automate solutions
• Assist governance work (e.g., IIA alignment, audit manual updates, QA activities, surveys)

• Developing and deploying AWS IoT–based data logging pipelines to collect and manage sensor and device data
• Designing and implementing data processing workflows and machine learning models using AWS SageMaker

• Define and develop tools for large scale data analysis using machine learning and AI for on-going insight, to drive TCO reduction.
• Plan roadmap for cloud resources adoption, based on price/performance, capacity and demand.
• Automatic classification and recommendations for optimal resource allocation.