[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fen-ch\u002Fjobs-by-skill\u002Fdata-analytics":3,"seo-content-skill-data-analytics-ch":131,"skill-page-filters-\u002Fen-ch\u002Fjobs-by-skill\u002Fdata-analytics":161,"featured-jobs-\u002Fen-ch\u002Fjobs-by-skill\u002Fdata-analytics":286},{"total":4,"jobs":5},3,[6,71,101],{"id":7,"slug":8,"title":9,"raw_title":10,"is_featured":11,"company":12,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":16,"processed_country_iso_code_gmaps":18,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":25,"processed_employment_types":27,"processed_it_skills":28,"processed_it_skills_labels":30,"processed_job_expertise_skills":47,"processed_job_expertise_skills_labels":48,"max_cpc":69,"actual_cpc":70},88975,"aml-application-engineer-bank-vontobel-ag","AML Application Engineer",null,false,{"name":13,"slug":14,"logo_url":15},"Bank Vontobel AG","bank-vontobel-ag","https:\u002F\u002Fimg.vontobel.com\u002Fcorpweb\u002Fimage\u002Fupload\u002Fmedia\u002Fsiteassets\u002F00_general\u002Fexternally_referenced\u002Fvontobelholdingag-bimi.svg",[17],"Zürich",[19],"CH","onsite",110000,140000,"CHF","estimated",[26],"FULL_TIME","permanent",{"sql":29,"helm":29,"java":4,"github":29,"pl-sql":29,"python":29,"spring":4,"openshift":29,"kubernetes":29,"postgresql":29,"data analytics":29,"api development":29,"oracle database":29,"neo4j graph database":4,"artificial intelligence (ai)":29,"messaging and integration technologies":29},4,[31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"Python","GitHub","Kubernetes","OpenShift","Helm","Oracle Database","PostgreSQL","SQL","PL-SQL","Java","Spring","Neo4j Graph Database","API Development","Messaging and Integration Technologies","Data Analytics","Artificial Intelligence (AI)",{"kyc":29,"automation":29,"auditability":29,"traceability":29,"aml processes":29,"pep screening":29,"risk management":29,"budget management":29,"vendor management":29,"data visualization":29,"application support":29,"sanctions screening":29,"software engineering":29,"regulatory compliance":29,"system implementation":29,"transaction screening":29,"adverse media screening":29,"technical project management":29,"technical operations engineering":29,"compliance and aml technology solutions":29},[49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68],"Software Engineering","Technical Operations Engineering","Application Support","Compliance and AML Technology Solutions","Sanctions Screening","PEP Screening","Adverse Media Screening","Transaction Screening","AML Processes","KYC","System Implementation","Technical Project Management","Regulatory Compliance","Auditability","Traceability","Automation","Data Visualization","Vendor Management","Budget Management","Risk Management",1,1.2,{"id":72,"slug":73,"title":74,"raw_title":10,"is_featured":11,"company":75,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":78,"processed_country_iso_code_gmaps":80,"processed_home_office":81,"processed_salary_min":82,"processed_salary_max":83,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":84,"processed_employment_types":27,"processed_it_skills":85,"processed_it_skills_labels":87,"processed_job_expertise_skills":90,"processed_job_expertise_skills_labels":91,"max_cpc":69,"actual_cpc":70},84824,"gps-associate-investment-advisor-geneva-switzerland-100-fmd-bank-julius-baer-co-ltd","GPS Associate Investment Advisor Geneva Switzerland, 100% (f\u002Fm\u002Fd)",{"name":76,"slug":77,"logo_url":10},"Bank Julius Baer & Co. Ltd.","bank-julius-baer-co-ltd",[79],"Genf",[19],"hybrid",80000,100000,[26],{"robotics":86,"automation":86,"data analytics":86,"artificial intelligence":86},2,[88,89,64,45],"Artificial Intelligence","Robotics",{"trade entry":86,"risk profiling":4,"client coverage":4,"account management":86,"financial analysis":4,"investment advisory":4,"portfolio structuring":4,"asset classes knowledge":4,"investment products knowledge":4},[92,93,94,95,96,97,98,99,100],"Investment Advisory","Portfolio Structuring","Client Coverage","Asset Classes Knowledge","Investment Products Knowledge","Financial Analysis","Risk Profiling","Trade Entry","Account Management",{"id":102,"slug":103,"title":104,"raw_title":10,"is_featured":11,"company":105,"raw_hiringOrganization_logo_url":108,"processed_city_gmaps":109,"processed_country_iso_code_gmaps":110,"processed_home_office":81,"processed_salary_min":111,"processed_salary_max":112,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":113,"processed_employment_types":27,"processed_it_skills":114,"processed_it_skills_labels":115,"processed_job_expertise_skills":117,"processed_job_expertise_skills_labels":118,"max_cpc":69,"actual_cpc":70},80489,"auditorin-vertrieb-firmenkunden-zuercher-kantonalbank-und-ihre-tochtergesellschaften","Auditor:in Vertrieb Firmenkunden",{"name":106,"slug":107,"logo_url":10},"Zürcher Kantonalbank und ihre Tochtergesellschaften","zuercher-kantonalbank-und-ihre-tochtergesellschaften","https:\u002F\u002Fapply.refline.ch\u002F792841\u002Fcompanies\u002Fmaster\u002Fimg\u002Flogo.jpg",[17],[19],120000,160000,[26],{"data analytics":86,"data extraction":86,"data visualization":86},[45,116,65],"Data Extraction",{"sanctions":29,"audit planning":29,"risk assessment":29,"audit leadership":29,"banking knowledge":29,"corporate finance":29,"external auditing":29,"internal auditing":29,"real estate finance":29,"compliance (vsb\u002Fgwg)":29,"regulatory compliance":29,"portfolio data analysis":4,"cross-border regulations":29},[119,120,121,122,123,124,125,126,61,127,128,129,130],"Internal Auditing","External Auditing","Corporate Finance","Real Estate Finance","Compliance (VSB\u002FGwG)","Cross-border Regulations","Sanctions","Risk Assessment","Audit Planning","Audit Leadership","Portfolio Data Analysis","Banking Knowledge",{"image_path":132,"content_de":133,"content_en":146,"composite_key":159,"last_updated":160},"\u002Fimages\u002Fskill\u002Fdata-analytics.webp",{"tab1":134,"tab2":137,"tab3":140,"tab4":143},{"title":135,"content":136},"Bedeutung & Relevanz","Data Analytics hat in der **Schweiz** eine immense strategische Bedeutung für den Finanzsektor. Als globales Finanzzentrum generieren Schweizer Banken und Finanzdienstleister enorme Datenmengen, die durch Data Analytics in wertvolle Erkenntnisse umgewandelt werden. Diese Fähigkeit ermöglicht es Unternehmen, fundierte Geschäftsentscheidungen zu treffen, Risiken präzise zu bewerten und operative Effizienz zu steigern.\n\nInsbesondere in **Zürich**, dem führenden Finanzplatz der Schweiz, ist Data Analytics unverzichtbar geworden. Die [Zürcher Kantonalbank](\u002Fcompany\u002Fzurcher-kantonalbank) und ihre Tochtergesellschaften nutzen Data Analytics intensiv für Kundenanalysen, Betrugserkennung und Portfoliomanagement. Durch die Auswertung von Transaktionsdaten können Banken das Kundenverhalten besser verstehen und personalisierte Dienstleistungen anbieten.\n\nIm Bereich [Banking](\u002Fjobs-by-industry\u002Fbanking) und [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) hilft Data Analytics bei der Identifikation von Markttrends und der Optimierung von Investmentstrategien. Die Fähigkeit, komplexe Daten zu analysieren und zu interpretieren, ist zu einem entscheidenden Wettbewerbsvorteil in der dynamischen Schweizer Finanzlandschaft geworden.",{"title":138,"content":139},"Top-Branchen & Standorte","In der **Schweiz** ist Data Analytics besonders in den [Banking](\u002Fjobs-by-industry\u002Fbanking) und [Financial Services](\u002Fjobs-by-industry\u002Fbanking-and-asset-management) Branchen gefragt. Diese Industrien generieren täglich enorme Datenvolumen, die durch analytische Methoden zur Wertschöpfung genutzt werden.\n\n**Zürich** steht als wichtigster Finanzstandort der Schweiz im Mittelpunkt der Data Analytics-Nachfrage. Die Stadt beherbergt nicht nur Großbanken, sondern auch zahlreiche Vermögensverwalter und FinTech-Unternehmen, die auf datengetriebene Entscheidungsfindung angewiesen sind. Der Finanzplatz Zürich bietet ideale Voraussetzungen für Data Analytics-Experten, da hier innovative Technologien und traditionelle Bankdienstleistungen zusammenkommen.\n\nNeben dem klassischen [Banking](\u002Fjobs-by-industry\u002Fbanking) gewinnt Data Analytics auch in der [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) Branche zunehmend an Bedeutung. Schweizer Vermögensverwalter nutzen fortschrittliche Analysemethoden, um Anlagestrategien zu optimieren und Kundenportfolios effizienter zu verwalten. Die Kombination aus traditioneller Schweizer Bankenkompetenz und moderner Data Analytics schafft einzigartige Karrieremöglichkeiten.",{"title":141,"content":142},"Gefragte Skills & Arbeitgeber","Führende Arbeitgeber in der **Schweiz** wie die [Zürcher Kantonalbank](\u002Fcompany\u002Fzurcher-kantonalbank) und ihre Tochtergesellschaften suchen Data Analytics-Experten mit spezifischen Fachkenntnissen. Besonders gefragt sind Kompetenzen in [Risikoanalyse](\u002Fjobs-by-expertise\u002Frisk-assessment) und [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management), da diese direkt von datenanalytischen Fähigkeiten profitieren.\n\nIm Bereich [Prozessaudit](\u002Fjobs-by-expertise\u002Fprocess-improvement) und [interne Revision](\u002Fjobs-by-expertise\u002Fprocess-improvement) ermöglicht Data Analytics die Identifikation von Ineffizienzen und die Optimierung von Geschäftsprozessen. Bankoperationen und [Finanzdienstleistungen](\u002Fjobs-by-industry\u002Fbanking-and-asset-management) werden durch datengetriebene Ansätze deutlich effizienter.\n\nWeitere relevante Expertise umfasst [Treasury Management](\u002Fjobs-by-expertise\u002Ffinancial-analysis) und den Umgang mit [Handelsprodukten und -dienstleistungen](\u002Fjobs-by-expertise\u002Ffinancial-markets). Data Analytics-Experten in der Schweiz sollten zudem über Kenntnisse in [Finanzanalyse](\u002Fjobs-by-expertise\u002Ffinancial-analysis) und [Finanzmodellierung](\u002Fjobs-by-expertise\u002Ffinancial-modeling) verfügen, um komplexe finanzielle Fragestellungen datengestützt zu lösen.",{"title":144,"content":145},"Karriere & Entwicklung","Die Karrierewege für Data Analytics-Experten in der **Schweiz** sind vielfältig und vielversprechend. Ein typischer Einstieg beginnt oft als Data Analyst in einer Bank oder einem Finanzdienstleister, mit Aufstiegsmöglichkeiten zum Senior Analyst, Data Scientist oder sogar Leiter der Business Intelligence.\n\nUm Data Analytics zu erlernen, empfehlen sich praxisorientierte Weiterbildungen in [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management) und [Finanzanalyse](\u002Fjobs-by-expertise\u002Ffinancial-analysis). Gleichzeitig sind IT-Kenntnisse unverzichtbar – insbesondere der Umgang mit [KI-Tools](\u002Fjobs-by-skill\u002Fartificial-intelligence-tools) und [Cloud Computing](\u002Fjobs-by-skill\u002Fgenerative-ai) gewinnt zunehmend an Bedeutung.\n\nDie Beherrschung der [MS Office](\u002Fjobs-by-skill\u002Fms-excel) Suite, insbesondere [MS Excel](\u002Fjobs-by-skill\u002Fms-excel) für Datenanalyse, bleibt grundlegend. Fortgeschrittene Karrierepfade erfordern oft Spezialisierungen in [Prozessoptimierung](\u002Fjobs-by-expertise\u002Fprocess-improvement) oder [Portfoliomanagement](\u002Fjobs-by-expertise\u002Fportfolio-management). Schweizer Universitäten und Fachhochschulen bieten exzellente Studiengänge und Weiterbildungen, die theoretisches Wissen mit praktischer Anwendung in der Finanzbranche verbinden.",{"tab1":147,"tab2":150,"tab3":153,"tab4":156},{"title":148,"content":149},"Strategic Importance","Data Analytics has become a cornerstone of strategic decision-making in Switzerland's sophisticated financial landscape. In a country renowned for its banking excellence and financial innovation, the ability to extract meaningful insights from vast datasets is no longer optional—it's essential for maintaining competitive advantage. Swiss financial institutions leverage Data Analytics to enhance customer experiences, optimize operational efficiency, and drive revenue growth through data-driven strategies.\n\nThe relevance of Data Analytics in Switzerland extends beyond traditional banking to encompass wealth management, insurance, and fintech sectors. With Switzerland's strong regulatory framework and emphasis on financial stability, Data Analytics plays a crucial role in compliance monitoring, risk assessment, and fraud detection. The Swiss financial sector's commitment to innovation and digital transformation makes Data Analytics expertise particularly valuable for organizations seeking to navigate the complexities of modern financial markets while maintaining the high standards of service that define Swiss banking globally.",{"title":151,"content":152},"Top Industries & Locations","In Switzerland, Data Analytics professionals find abundant opportunities across the dynamic **banking and financial services** sector, with **Zürich** serving as the primary hub for financial innovation and employment. As Switzerland's largest financial center, Zürich hosts numerous global banks, insurance companies, and financial technology firms that heavily rely on Data Analytics for strategic decision-making and operational excellence.\n\nThe demand for Data Analytics expertise extends throughout Switzerland's financial ecosystem, including private banking institutions in Geneva, insurance companies in Basel, and emerging fintech startups across major Swiss cities. The concentration of financial institutions in **Zürich** creates a particularly strong market for analytics professionals who can transform raw data into actionable business intelligence. Switzerland's position as a global financial center ensures that Data Analytics remains a critical capability across wealth management, investment banking, and corporate finance operations throughout the country.",{"title":154,"content":155},"In-Demand Skills & Employers","Leading Swiss financial institutions like **Zürcher Kantonalbank und ihre Tochtergesellschaften** actively seek Data Analytics professionals who can support critical business functions. These organizations require analytics expertise to enhance **risk analysis** capabilities, strengthen **risk management** frameworks, conduct thorough **process auditing**, and maintain robust **internal auditing** systems. The integration of Data Analytics into **banking operations** has become fundamental for optimizing performance and ensuring regulatory compliance.\n\nData Analytics professionals in Switzerland are expected to support **financial services** innovation, improve **treasury management** efficiency, and analyze complex **trading products and services**. The ability to apply analytical techniques to these specialized domains distinguishes top candidates in the Swiss job market. Employers value professionals who can bridge the gap between technical data analysis and practical business applications, particularly in the context of Switzerland's highly regulated and sophisticated financial environment where data-driven insights directly impact strategic decision-making and competitive positioning.",{"title":157,"content":158},"Career & Development","Career paths for Data Analytics professionals in Switzerland typically begin with roles such as Data Analyst or Business Intelligence Specialist, progressing to Senior Analyst, Analytics Manager, and ultimately leadership positions like Head of Analytics or Chief Data Officer. The Swiss financial sector offers diverse opportunities for specialization, particularly in areas like **risk analysis**, **risk management**, and **process auditing**, where analytical skills are essential for identifying patterns, predicting trends, and supporting evidence-based decision-making.\n\nTo develop Data Analytics expertise in Switzerland, professionals should focus on mastering core technical skills including proficiency with **AI tools**, advanced **MS Office** applications (particularly Excel for data manipulation and PowerPoint for presenting insights), and **cloud computing** platforms that enable scalable data processing. Continuous learning through certifications in data science, machine learning, and business analytics, combined with practical experience in Swiss financial institutions, provides the foundation for career advancement. Many Swiss universities and professional organizations offer specialized programs that combine technical Data Analytics training with domain knowledge specific to Switzerland's unique financial services landscape.","skill:data-analytics:ch","2026-08-17T09:01:36.728282+02:00",{"industry":162,"employment_type":175,"expertise_skills":178,"it_skills":233,"salary_currency":282,"processed_working_hours":284},[163,166,169,172],{"key":164,"label":165,"count":69},"banking","Banking",{"key":167,"label":168,"count":69},"financial services","Financial Services",{"key":170,"label":171,"count":69},"private banking","Private Banking",{"key":173,"label":174,"count":69},"wealth management","Wealth Management",[176],{"key":27,"label":177,"count":4},"PERMANENT",[179,181,183,186,188,190,192,194,196,198,200,202,204,207,210,212,215,217,219,221,223,225,227,230],{"key":180,"label":61,"slug":180,"count":86},"regulatory-compliance",{"key":182,"label":55,"slug":182,"count":69},"adverse-media-screening",{"key":184,"label":185,"slug":184,"count":69},"aml-processes","Aml Processes",{"key":187,"label":51,"slug":187,"count":69},"application-support",{"key":189,"label":95,"slug":189,"count":69},"asset-classes-knowledge",{"key":191,"label":128,"slug":191,"count":69},"audit-leadership",{"key":193,"label":127,"slug":193,"count":69},"audit-planning",{"key":195,"label":62,"slug":195,"count":69},"auditability",{"key":197,"label":64,"slug":197,"count":69},"automation",{"key":199,"label":130,"slug":199,"count":69},"banking-knowledge",{"key":201,"label":67,"slug":201,"count":69},"budget-management",{"key":203,"label":94,"slug":203,"count":69},"client-coverage",{"key":205,"label":206,"slug":205,"count":69},"compliance-vsbgwg","Compliance (Vsb\u002FGwg)",{"key":208,"label":209,"slug":208,"count":69},"compliance-and-aml-technology-solutions","Compliance And Aml Technology Solutions",{"key":211,"label":121,"slug":211,"count":69},"corporate-finance",{"key":213,"label":214,"slug":213,"count":69},"cross-border-regulations","Cross-Border Regulations",{"key":216,"label":65,"slug":216,"count":69},"data-visualization",{"key":218,"label":120,"slug":218,"count":69},"external-auditing",{"key":220,"label":97,"slug":220,"count":69},"financial-analysis",{"key":222,"label":119,"slug":222,"count":69},"internal-auditing",{"key":224,"label":92,"slug":224,"count":69},"investment-advisory",{"key":226,"label":96,"slug":226,"count":69},"investment-products-knowledge",{"key":228,"label":229,"slug":228,"count":69},"kyc","Kyc",{"key":231,"label":232,"slug":231,"count":69},"pep-screening","Pep Screening",[234,236,238,241,242,244,245,248,250,252,254,257,260,263,265,268,271,273,275,277,280],{"key":235,"label":45,"slug":235,"count":4},"data-analytics",{"key":237,"label":88,"slug":237,"count":69},"artificial-intelligence",{"key":239,"label":240,"slug":239,"count":69},"artificial-intelligence-ai","Artificial Intelligence (Ai)",{"key":197,"label":64,"slug":197,"count":69},{"key":243,"label":116,"slug":243,"count":69},"data-extraction",{"key":216,"label":65,"slug":216,"count":69},{"key":246,"label":247,"slug":246,"count":69},"github","Github",{"key":249,"label":35,"slug":249,"count":69},"helm",{"key":251,"label":40,"slug":251,"count":69},"java",{"key":253,"label":33,"slug":253,"count":69},"kubernetes",{"key":255,"label":256,"slug":255,"count":69},"messaging-and-integration-technologies","Messaging And Integration Technologies",{"key":258,"label":259,"slug":258,"count":69},"neo4j-graph-database","Neo4J Graph Database",{"key":261,"label":262,"slug":261,"count":69},"openshift","Openshift",{"key":264,"label":36,"slug":264,"count":69},"oracle-database",{"key":266,"label":267,"slug":266,"count":69},"pl-sql","Pl-Sql",{"key":269,"label":270,"slug":269,"count":69},"postgresql","Postgresql",{"key":272,"label":31,"slug":272,"count":69},"python",{"key":274,"label":89,"slug":274,"count":69},"robotics",{"key":276,"label":41,"slug":276,"count":69},"spring",{"key":278,"label":279,"slug":278,"count":69},"api-development","Api Development",{"key":281,"label":38,"slug":281,"count":69},"sql",[283],{"key":23,"label":23,"count":4},[285],{"key":26,"label":26,"count":4},{"total":287,"jobs":288},0,[]]