Adatelemző data analyst állások, munkák Németországban

• Ensure data quality within the Corporate Data Domain
• Perform data‑quality checks and drive corrective actions
• Analyse root causes of data issues and coordinate resolution
• Own and maintain the Corporate First Line Data Domain from a business perspective

Strengthen the completeness and reliability of the Group's Data Catalog (Data Galaxy) by conducting in depth analyses of data systems, governance frameworks, and business usage across the organization...

• Translate data into actionable insights that shape our marketing strategy and investments.
• Partner with marketing stakeholders to identify opportunities, define KPIs, and measure success.
• Build clear, engaging dashboards and reports that highlight trends and tell compelling stories.

• Become familiar with our technology stack and learn everything about the high-level job market and our job classification framework.
• Research and select the most high-level jobs and classify them according to our key criteria.

• Leverage strong communication and relationship-building skills in frequent interaction with other areas of the firm
• Strongly communicate verbally and in writing including escalate timely any blockers/setbacks

• Analyze oilfield data, with a focus on production rates, field trends, and sensor data
• Define and support strategies for oilfield operations and optimization
• Collaborate closely with customers to understand workflows, provide analytical support and deliver actionable insights

NEW SOLUTIONS EMERGE WHEN THINKING ISN'T HARD-WIRED. More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly new solutions. Naturally, this includes flexible working models, so that our...

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

Requirements elicitation: Collaborate with business stakeholders to gather, challenge and document underlying business needs, translating these into scope, objectives and business goals for the Mortgage product...

Requirement Gathering, Analysis and Impact Assessment: Gather business requirements and conduct thorough analysis. Understand the business goals fully and evaluate the impacts on the operating model and processes...

• Supporting the development and improvement of tools to quantify credit risk, analysing its results and proposing appropriate measures
• Supporting projects related to credit risk quantification, including data infrastructure and quality

Develop and drive the implementation of Cloud Data Security strategy in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• Develop and maintain data pipelines and ETL processes (HANA Calculation Views, SAP Datasphere) for timely, high-quality data.
• Explore and integrate corporate data sources.
• Creation and maintenance of Data Products via SAP Datasphere in line with internal governance processes

• Designing Client Lifecycle workflows for various Group business lines
• Conducting functional and technical design, acceptance tests, and projects reporting
• Deploying projects internally and coordinating teams
• Regular monitoring and staying attentive to digital opportunities and impacts

• Define business requirements and work effectively with stakeholders;
• Respond to IT support tickets;
• Build internal and external relationships effectively;
• Provide business analysis, outlining problems, opportunities and solutions for the business;

• Develop and optimize our job data crawling pipeline, ensuring high-quality job data acquisition.
• Implement and refine import mapping, improving data accuracy and classification.
• Support the integration of external data sources via APIs or scraping frameworks.

• Design Optical network solutions for Data Centers and LAN projects using Corning products
• Create and check Bills of Materials (BOMs) for customer projects
• Support customers and sales teams with technical advice and solution design
• Turn customer requests (RFQs) into clear technical solutions