Data analytics senior állások, munkák it programozás, fejlesztés területen

• Design, maintain, and evolve robust, scalable data architectures aligned with business and digital transformation objectives
• Build and optimize high‑performance data models for analytics
• Act as a strategic partner to business and engineering teams to shape data solutions end‑to‑end

• Act as the escalation point and lead investigator for high-impact data exceptions, breaks, and reconciliations.
• Systematically trace end-to-end data lineage across multi-hop data pipelines (ingestion, staging, transformation, reporting layers) to isolate defect origins.

• A Data Science & Analytics üzletágunk projektjeiben, fejlesztéseiben részvétel változatos iparágakban
• Önálló statisztikai elemzési és modellezési feladatok megoldása (tervezés, becslés, fejlesztés, tesztelés, dokumentáció)

• Leading a dynamic, cross-functional team dedicated to standardizing and elevating operational workflows
• Equipping Wise’s operational teams with out-of-the-box solutions and actionable data insights
• Owning the solutions for case and document request lifecycle management

• Collaborate with business stakeholders to identify opportunities and translate business challenges into actionable Data Science and AI use cases.
• Design, develop and evaluate machine learning models using statistical methods, supervised and unsupervised learning techniques.

• Design, build, and maintain high-quality front-end experiences across web, mobile, and connected TV platforms (tvOS, Android TV / Fire TV, Samsung Tizen, LG webOS)
• Take the lead on solution and feature design – bringing well-reasoned technical proposals and seeing them through to delivery

• Lead the design and development of Power BI reporting and analytics solutions for enterprise clients,
• Facilitate workshops and meetings with business stakeholders to understand reporting and analytical requirements,
• Translate business needs into functional and technical specifications,

• Collects and consolidates transfers of value (ToV) data from multiple source systems and business functions across supported markets, following defined collection processes
• Performs first-level data quality checks (completeness, accuracy, duplicates) ahead of country-level submission

Design, develop, and maintain interactive Power BI dashboards and reports to support spend analysis, supplier performance, contract lifecycle management, and procurement KPIs...

Develop large-scale distributed systems to compute and report intra-day and eod-of-day risks, PnL (Profit and Loss) and market scenarios to senior management, trading desks, controllers, and market risk department;...

• Running the team handling data subject rights requests (DSRRs)
• Improving DSRR workflows, quality assurance checks, guidance, templates and tooling
• Running privacy due diligence for vendor and commercial partners
• Maintaining ongoing vendor reviews and periodic reassessments based on privacy risk

• Leading data projects across the EMEA region including initiatives leveraging artificial intelligence and automation
• Leading and delivering innovation and transformation projects from scoping through to measurable business impact

• Design, build, and maintain large-scale distributed data systems
• Develop data processing pipelines using technologies such as Spark and streaming solutions
• Work on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs

• Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform
• Building robust, scalable pipelines using Azure Databricks (PySpark / SQL)
• Design and enforcement of data architecture standards including Delta Lake / Lakehouse architecture and data modeling

• Design, implement, and manage Azure cloud infrastructure to support Databricks and data platform workloads
• Build and maintain Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations

• Design, develop and maintain scalable, end-to-end data pipelines and data products
• Build reliable ETL/ELT solutions for data warehouse, data lake and lakehouse environments
• Partner with business analysts and stakeholders to understand their needs and translate them into effective technical solutions

• Own and continuously evolve the Advanced Analytics product portfolio and roadmap in alignment with EPD strategic priorities.
• Identify opportunities where Machine Learning, AI, and Advanced Analytics can drive business value, improve performance, and support organizational transformation.

• The data platform end to end: ingestion, storage, and the query paths that keep millions of records fast on screen. You design it, you build it, you run it in production.
• The platform layer, directly with the CTO: infrastructure, deployments, and the path to production for the whole team.

• Supply chain data analysis to identify trends and areas for improvement
• Development and implementation of strategies to optimize supply chain operations
• Collaboration with cross-functional teams to streamline processes and enhance supply chain performance

You will work on Data Governance and Data Management topics on a project basis, for and in collaboration with customers throughout Switzerland and internationally....