Senior data analyst állások, munkák

• Design, develop, and implement complex and scalable data solutions on the AWS cloud platform
• Design, build, and optimize data pipelines to ensure efficiency and reliability
• Write clean, efficient, and maintainable SQL and Python code
• Develop and maintain shell scripts to support automation

• Operation of Power Platform components within the Cloud Data & Analytics Platform
• Monitoring platform usage, performance, and capacity
• Management and maintenance of Power BI gateways and secure data connections to Azure Lakehouse backend
• Oversight of role-based access control and workspace permissions

• Design and implement modern data architectures and lakehouse solutions
• Provide technical leadership throughout the project lifecycle
• Collaborate with business stakeholders
• Create effort estimations
• Provide technical expertise during the pre-sales phase
• Mentor 3-6 person project teams

• Delivery on complex projects individually or by leading small delivery teams
• Management of customer relationships alone or in collaboration with a Project Manager
• Support of pre-sales process
• Mentoring of more junior engineers
• Contribution to hiring best-in-class data talent

• Experience in different data science topics including machine learning, LLM, deep learning
• Independent delivery of data science projects with e2e product-oriented mindset
• Direct engagement with clients to understand business objectives and translate them into technical requirements

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

• Lead the design and implementation of scalable data pipelines and Lakehouse architectures
• Act as the design authority
• Solve the hardest technical challenges including optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

• Understanding and aligning with business needs
• Identifying related data requirements
• Participating in technical pre-sales activities including effort estimation and proposal creation
• Architecting and planning robust data models and modern data platforms

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• Performing risk analysis and credit review work for new and existing accounts of low/med/high complexity
• Exercising sound credit and commercial judgment when formulating credit recommendations
• Establishing proper credit controls in the Oracle system

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• Komplex szakmai kihívást jelentő üzleti és informatikai tanácsadási projektek tervezése
• Komplex szakmai kihívást jelentő üzleti és informatikai tanácsadási projektek megvalósítása
• Projektek szakmai irányítása
• Projektmenedzsment feladatok ellátása
• Üzleti elemzés fókusz

• Leading a cross-functional Product Driven Organization team in building advanced analytics and cloud-native data products in the EU Sales and CO2 Compliance domain
• Bridging the gap between complex statistical modeling, cloud architecture, and strategic senior executive decision-making

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• Development and enhancement of pricing models for motor, home and other retail insurance products
• Building predictive and statistical models to support pricing and portfolio steering
• Conducting competitiveness analyses, elasticity studies and profitability assessments

• Participation in projects providing unique and comprehensive professional knowledge
• Understanding the clients’ needs and acting as translator between client and developers
• Responsibility for the used functionalities at the clients and related questions