Generating strategic reports and actionable intelligence from client data and CRM tools for a global luxury auction house. 5-8 years in commercial insights or BI required. Hybrid work, 4-day work week.
Analyzing laboratory data and building Power BI dashboards for operational monitoring. Intermediate French language skills required. Paid internship with enterprise-wide learning experiences.
Enhancing Finance Data Mart for MI and reporting on AuM, NNM, and RoA. Deep data and IT experience required. Flexible working hours, smartphone, and fast mobile internet.
Data-led project delivery for marketing operations consultancy. Fluent French and English communication required. Action plan deliverables, data integrity guarantee.
Designing scalable data architecture for global wealth management, focusing on event-driven and data mesh principles. Deep understanding of financial regulations and data lifecycle management required. Hybrid work, 4-day work week.
Developing Power BI dashboards for workload allocation and resource forecasting at a global diagnostics leader. 3+ months Power BI experience required. Leadership exposure and enterprise-wide learning experiences.
Developing quantitative and ML models for algorithmic trading in European power markets. 2-3 years of production ML experience with Python required. Full lifecycle model development from data prep to live deployment.
Migrating on-premises data platforms to AWS, building scalable data models and data lakes. 8+ years of data engineering experience with large-scale transformation and migration required. 5 weeks vacation, company shares program, fitness contribution.
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Driving Microsoft Fabric adoption at a global wealth manager, analyzing usage patterns and identifying barriers. Master's degree in Data Science, Data Engineering, or Information Systems required. Exposure to strategic enterprise platforms and change management experience.
Optimizing data delivery pipelines for a global wealth manager with CHF 300B AUM. Master's student in Data Engineering or related field with analytical skills required. Exposure to enterprise data ecosystems and cross-functional interactions.
Analyzing AI code verification product usage and customer adoption patterns for Fortune 100 clients. Solid SQL for independent data querying required. Hybrid work, 4-day work week.
Supporting life science transformation projects with data analysis and client presentations. Master's degree in life science and strong communication skills required. Hybrid work, 5 weeks vacation.
Designing and developing data platforms with end-to-end pipelines for AI code verification. Cloud data engineering, big data architecture, streaming, and ETL exposure required. Continuous education support, accommodation support.
Advising C-level clients on high-stakes strategic questions using data/AI expertise. 5-8 years strategy consulting experience required. End-to-end engagement management, client relationship building.