Data analyst állások, munkák Németországban

Own SEO data pipelines end-to-end. Design, build, and maintain automated pipelines that power all SEO analytics, from ingestion through transformation to dashboarding....

Using your strong data skills, you analyse and develop tailored insights that improve our acquisition funnel performance for cross‑product management and support the implementation of commercial analytics in our Business Banking....

Play a key role in shaping Group-wide data governance by ensuring data is trusted, discoverable, and responsibly used across the organization, with a strong focus on the Group Data Catalog (Data Galaxy)...

DATA ANALYSIS & REPORTING:Collect, clean, and analyze logistics-related data from various sources (e.g., shipment times, inventory levels, warehouse efficiency, transport routes, delivery performance).Develop and maintain dashboards and reports to monitor key performance indicators (KPIs) and...

Reporting locally to the MSESE Group Finance Chief Operating Officer (COO) and functionally to the Global Finance Lead for Data Policy, Governance and Issue Management, support and represent the MSESE Group Chief Financial Officer (CFO) and wider MSESE Finance management team with regards to Data...

Ensuring close, effective and supportive interaction with category teams and management to deliver valuable data insights into decision-making processes for strategic, tactical and operative Supply Chain processes...

Build and optimize financial data models using Excel, Power Query and Power BI to increase reporting reliability, speed and scalability....

• As a Senior Data Scientist you will act as a mentor and trainer, helping to build and share knowledge across the organization.
• You will be responsible for developing and conducting expert training programs, including direct training sessions and project-based mentoring.

Strategy and Leadership: Define, communicate, and execute the overall Data Science roadmap and vision for the Generative AI function, ensuring alignment with N26's product and business goals....

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

• 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.

Strategic HR Analytics: Develop and implement a global HR analytics strategy aligned with business objectives. Drive predictive and prescriptive analytics initiatives and translate complex data into actionable insights....

• Take ownership of data engineering initiatives within projects and act as a technical lead towards customers
• Design, build and evolve scalable data platforms and architectures aligned with business goals

• A two-stage qualification program
• Duration of the company phase: up to twelve months
• Personal mentoring

• Partner with internal teams and model researchers to evaluate high-value use cases and understand their business context.
• Analyze use cases across the organization and advise on how to make them work effectively with our tabular foundation models.

Work in our Data & AI Center of Excellence (DACE) in close collaboration with a diverse team of 45 data scientists and AI engineers from various disciplines...

Your SQL skills are second to none when it comes to translating operational and strategic requirements in Daily Banking into smart data solutions. With your analytical mindset, you refine data outputs and deliver precise answers to complex questions....

• Conduct independent research at the intersection of data science and public policy with a focus on ML/AI, causal inference, and/or computational methods;
• Collaborate with faculty and Data Science Lab members on joint research projects;

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

• 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