Data analyst állások, munkák Külföldön

• Conducting tests as part of the software development lifecycle (SDLC), particularly during the initiation and feasibility phases
• Documenting processes, test results and relevant work steps

Data Architect Space C5I Every day, around 3,000 employees of RUAG and RUAG Real Estate make as significant contribution to the security of Switzerland. They ensure that the Swiss Armed Forces and other emergency and security organizations can comprehensibly carry out their tasks at all times. Data...

• Combinatorial synthesis of thin film materials libraries using sputtering
• High-throughput characterization of the thin film materials libraries (EDX, XRD, XPS ...)
• Implementing new advanced sputtering and characterization techniques (OES, AES, RHEED)

Techniques that will be relevant are in-vivo multi-channel electrophysiological recordings, behavioral experiments and state-of-the-art neural data analysis. ...

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...

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every...

Where you belong: Where you belong: ...

Where you belong: Where you belong: ...

Internship Database Engineering (3 to 6 months) (m/w/d) Are you curious and eager to seize new opportunities? Do you go the extra mile and have an open, communicative personality with a strong customer and solution orientation? Then let's exceed our customers' expectations together and continue the...

• 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

• It must provide a clear and structured executive-level overview of company performance.
• It must allow drill-down capabilities from aggregated KPIs down to underlying processes, enabling root-cause analysis and performance steering.
• Integration into our team - not just "the student".

Computational Neuroscientist / Electrophysiology Data Analysis Engineer At MaxWell Biosystems, we innovate the future of electrophysiology by developing cutting-edge technologies for neural activity recording. Our platform includes the software MaxLab Live, a custom-designed integrated circuit, and...

Internship Data Analytics (3 to 6 months) (m/w/d) Are you curious and eager to seize new opportunities? Do you go the extra mile and have an open, communicative personality with a strong customer and solution orientation? Then let's exceed our customers' expectations together and continue the...

• Own the implementation of our Product Analytics strategy and bring the Business Insights vision to our product areas.
• Act as a strategic partner in our product discovery streams, deriving data-driven recommendations for product decisions.

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...

• 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

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

• Coordinate with wet laboratories, contract research organizations (CROs), and external collaborators to facilitate the transfer of imaging data and associated metadata.
• Ensure incoming datasets are delivered according to defined data formats, metadata standards, and project requirements.