[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-page-filters-\u002Fde-at\u002Fjobs-by-skill\u002Fdata-analysis":3,"seo-content-skill-data-analysis-at":134,"job-search-\u002Fde-at\u002Fjobs-by-skill\u002Fdata-analysis":164,"featured-jobs-\u002Fde-at\u002Fjobs-by-skill\u002Fdata-analysis":228},{"industry":4,"employment_type":13,"expertise_skills":18,"it_skills":91,"salary_currency":128,"processed_working_hours":131},[5,9],{"key":6,"label":7,"count":8},"insurance","Insurance",2,{"key":10,"label":11,"count":12},"banking","Banking",1,[14],{"key":15,"label":16,"count":17},"permanent","PERMANENT",3,[19,22,25,28,31,34,37,40,43,46,49,52,55,58,61,64,67,70,73,76,79,82,85,88],{"key":20,"label":21,"slug":20,"count":12},"campaign-management","Campaign Management",{"key":23,"label":24,"slug":23,"count":12},"claims-management","Claims Management",{"key":26,"label":27,"slug":26,"count":12},"crm","Crm",{"key":29,"label":30,"slug":29,"count":12},"customer-journey-management","Customer Journey Management",{"key":32,"label":33,"slug":32,"count":12},"customer-segmentation","Customer Segmentation",{"key":35,"label":36,"slug":35,"count":12},"data-driven-marketing","Data-Driven Marketing",{"key":38,"label":39,"slug":38,"count":12},"digital-marketing-trends","Digital Marketing Trends",{"key":41,"label":42,"slug":41,"count":12},"digital-workflow-design","Digital Workflow Design",{"key":44,"label":45,"slug":44,"count":12},"documentation","Documentation",{"key":47,"label":48,"slug":47,"count":12},"email-marketing","Email Marketing",{"key":50,"label":51,"slug":50,"count":12},"insurance-solutions","Insurance Solutions",{"key":53,"label":54,"slug":53,"count":12},"interface-management","Interface Management",{"key":56,"label":57,"slug":56,"count":12},"market-observation","Market Observation",{"key":59,"label":60,"slug":59,"count":12},"marketing","Marketing",{"key":62,"label":63,"slug":62,"count":12},"marketing-automation","Marketing Automation",{"key":65,"label":66,"slug":65,"count":12},"portfolio-controlling","Portfolio Controlling",{"key":68,"label":69,"slug":68,"count":12},"process-optimization","Process Optimization",{"key":71,"label":72,"slug":71,"count":12},"process-standardization","Process Standardization",{"key":74,"label":75,"slug":74,"count":12},"risk-assessment","Risk Assessment",{"key":77,"label":78,"slug":77,"count":12},"risk-calculation","Risk Calculation",{"key":80,"label":81,"slug":80,"count":12},"risk-engineering","Risk Engineering",{"key":83,"label":84,"slug":83,"count":12},"sanitation-measures","Sanitation Measures",{"key":86,"label":87,"slug":86,"count":12},"strategic-project-participation","Strategic Project Participation",{"key":89,"label":90,"slug":89,"count":12},"tender-management","Tender Management",[92,95,98,101,104,107,110,113,116,119,122,125],{"key":93,"label":94,"slug":93,"count":17},"data-analysis","Data Analysis",{"key":96,"label":97,"slug":96,"count":12},"ai-applications","Ai Applications",{"key":99,"label":100,"slug":99,"count":12},"automation-solutions","Automation Solutions",{"key":102,"label":103,"slug":102,"count":12},"crm-systems","Crm Systems",{"key":105,"label":106,"slug":105,"count":12},"digital-interfaces","Digital Interfaces",{"key":108,"label":109,"slug":108,"count":12},"ms-excel","MS Excel",{"key":111,"label":112,"slug":111,"count":12},"marketing-automation-tools","Marketing Automation Tools",{"key":114,"label":115,"slug":114,"count":12},"ms-365","MS 365",{"key":117,"label":118,"slug":117,"count":12},"microsoft-dynamics-365","Microsoft Dynamics 365",{"key":120,"label":121,"slug":120,"count":12},"process-management","Process Management",{"key":123,"label":124,"slug":123,"count":12},"ab-testing","A\u002FB Testing",{"key":126,"label":127,"slug":126,"count":12},"project-work","Project Work",[129],{"key":130,"label":130,"count":17},"EUR",[132],{"key":133,"label":133,"count":17},"FULL_TIME",{"image_path":135,"content_de":136,"content_en":149,"composite_key":162,"last_updated":163},"\u002Fimages\u002Fskill\u002Fdata-analysis.webp",{"tab1":137,"tab2":140,"tab3":143,"tab4":146},{"title":138,"content":139},"Bedeutung & Relevanz","Data Analysis ist in Österreich zu einem unverzichtbaren Bestandteil moderner Geschäftsstrategien geworden. Unternehmen aller Branchen erkennen zunehmend den Wert datengetriebener Entscheidungen – von der Optimierung interner Prozesse bis hin zur Entwicklung neuer Produkte. In einer Volkswirtschaft, die stark von Finanzdienstleistungen, Industrie und Technologie geprägt ist, schafft die Fähigkeit, komplexe Daten zu interpretieren, einen klaren Wettbewerbsvorteil.\n\nDie Nachfrage nach Fachkräften mit ausgeprägten Analysefähigkeiten spiegelt sich in der aktuellen Marktsituation wider: Derzeit sind 3 offene Positionen im Bereich Data Analysis in Österreich ausgeschrieben. Diese Rollen erfordern nicht nur ein tiefes Verständnis für statistische Methoden, sondern auch die Fähigkeit, Ergebnisse verständlich zu kommunizieren. Ergänzende Kompetenzen wie [Project Work](\u002Fde-at\u002Fjobs-by-skill\u002Fproject-work), [Microsoft 365](\u002Fde-at\u002Fjobs-by-skill\u002Fmicrosoft-365), [Ai Applications](\u002Fde-at\u002Fjobs-by-skill\u002Fai-applications) sind dabei besonders gefragt, da sie es ermöglichen, Daten nicht nur zu analysieren, sondern auch in Handlungsempfehlungen umzusetzen.\n\nDie strategische Bedeutung von Data Analysis wird durch die zunehmende Digitalisierung und den wachsenden Datenbestand weiter verstärkt. Unternehmen, die in diese Kompetenz investieren, sichern sich langfristig ihre Innovations- und Wettbewerbsfähigkeit. Für Fachkräfte bietet sich damit ein dynamisches und zukunftssicheres Arbeitsumfeld, das vielfältige Entwicklungsmöglichkeiten eröffnet.",{"title":141,"content":142},"Top-Branchen & Standorte","Data Analysis ist in Österreich branchenübergreifend gefragt, wobei sich bestimmte Sektoren besonders hervortun. Zu den führenden Branchen zählen [Versicherung](\u002Fde-at\u002Fjobs-by-industry\u002Finsurance), [Bankwesen](\u002Fde-at\u002Fjobs-by-industry\u002Fbanking), die datenintensive Prozesse und regulatorische Anforderungen miteinander verbinden. Diese Branchen setzen verstärkt auf datengetriebene Ansätze, um Risiken zu managen, Kundenerlebnisse zu verbessern und operative Effizienz zu steigern.\n\nGeografisch konzentrieren sich die meisten Stellenangebote auf urbane Zentren und Wirtschaftsregionen. Die wichtigsten Standorte für Data-Analysis-Positionen sind [Innsbruck](\u002Fde-at\u002Fjobs-in-innsbruck), [Wien](\u002Fde-at\u002Fjobs-in-wien). Diese Städte und Regionen bieten nicht nur eine hohe Dichte an Unternehmen, sondern auch ein attraktives Umfeld für Fachkräfte mit modernen Arbeitsplätzen und guter Infrastruktur.\n\nDie Kombination aus starken Branchen und attraktiven Standorten macht Österreich zu einem interessanten Markt für Data-Analysis-Experten. Ob in der Finanzmetropole Wien oder in aufstrebenden Technologie-Clustern – die Möglichkeiten sind vielfältig. Für Arbeitssuchende lohnt es sich, die regionalen Unterschiede zu berücksichtigen und gezielt nach Positionen in den genannten Zentren zu suchen, um die besten Karrierechancen zu nutzen.",{"title":144,"content":145},"Gefragte Skills & Arbeitgeber","Im Bereich Data Analysis sind sowohl fachliche als auch methodische Kompetenzen entscheidend. Arbeitgeber legen besonderen Wert auf Expertise in [Documentation](\u002Fde-at\u002Fjobs-by-expertise\u002Fdocumentation), [Claims Management](\u002Fde-at\u002Fjobs-by-expertise\u002Fclaims-management), [Tender Management](\u002Fde-at\u002Fjobs-by-expertise\u002Ftender-management), da diese Fähigkeiten direkt zur Lösung komplexer Geschäftsprobleme beitragen. Darüber hinaus sind Kenntnisse in relevanten Tools und Sprachen wie [Project Work](\u002Fde-at\u002Fjobs-by-skill\u002Fproject-work), [Microsoft 365](\u002Fde-at\u002Fjobs-by-skill\u002Fmicrosoft-365), [Ai Applications](\u002Fde-at\u002Fjobs-by-skill\u002Fai-applications) häufig Voraussetzung, um Daten effizient zu verarbeiten und zu visualisieren.\n\nDie Nachfrage nach diesen Qualifikationen spiegelt sich in den Einstellungspraktiken führender Unternehmen wider. Zu den Top-Arbeitgebern, die aktuell Data-Analysis-Spezialisten suchen, gehören [Bank für Tirol und Vorarlberg Aktiengesellschaft](\u002Fde-at\u002Fcompany\u002Fbank-fuer-tirol-und-vorarlberg-aktiengesellschaft), [Generali Versicherung AG](\u002Fde-at\u002Fcompany\u002Fgenerali-versicherung-ag). Diese Organisationen bieten nicht nur attraktive Karriereperspektiven, sondern auch ein Umfeld, das kontinuierliches Lernen und Weiterentwicklung fördert.\n\nFür Bewerber ist es wichtig, sowohl technische Fertigkeiten als auch die Fähigkeit zur Interpretation und Kommunikation von Ergebnissen nachzuweisen. Ein starkes Profil kombiniert fundierte Kenntnisse in [Documentation](\u002Fde-at\u002Fjobs-by-expertise\u002Fdocumentation), [Claims Management](\u002Fde-at\u002Fjobs-by-expertise\u002Fclaims-management), [Tender Management](\u002Fde-at\u002Fjobs-by-expertise\u002Ftender-management) mit praktischer Erfahrung in der Anwendung von Analysemethoden. Wer diese Anforderungen erfüllt, hat hervorragende Chancen, in einem der führenden Unternehmen Österreichs Fuß zu fassen und eine erfüllende Karriere im Bereich Data Analysis zu starten.",{"title":147,"content":148},"Karrierepfad & Gehalt","Eine Karriere im Bereich Data Analysis bietet in Österreich attraktive Verdienstmöglichkeiten und vielfältige Entwicklungswege. Das Gehalt variiert je nach Erfahrung, Branche und Standort, bewegt sich jedoch in einem soliden Rahmen. Der Median liegt bei €65k, wobei die typische Spanne zwischen €58k – €65k liegt. Einsteiger können mit einem Einstiegsgehalt von €40k rechnen, während erfahrene Experten bis zu €65k verdienen können.\n\nDie Nachfrage nach Data-Analysis-Fachkräften ist hoch, was sich in der Anzahl offener Stellen widerspiegelt: Aktuell sind 3 Positionen in Österreich ausgeschrieben. Diese hohe Nachfrage bietet Berufseinsteigern und Umsteigern gleichermaßen gute Chancen, in diesem Bereich Fuß zu fassen.\n\nKarrieremöglichkeiten reichen von Junior-Analysten über Senior-Positionen bis hin zu Führungsrollen wie Data-Analytics-Manager oder Head of Data. Mit zunehmender Erfahrung und Spezialisierung steigen sowohl Verantwortung als auch Gehalt. Darüber hinaus eröffnen sich Perspektiven in angrenzenden Bereichen wie Data Science oder Business Intelligence, sodass langfristig eine dynamische und lukrative Karriere möglich ist.",{"tab1":150,"tab2":153,"tab3":156,"tab4":159},{"title":151,"content":152},"Strategic Importance","In today's data-driven world, Data Analysis has become a cornerstone of strategic decision-making across industries. In Österreich, the demand for professionals who can interpret complex datasets and translate them into actionable insights is surging. Data Analysis is not just about crunching numbers; it's about understanding market trends, customer behavior, and operational efficiencies. As companies in the financial sector and beyond embrace digital transformation, the ability to harness data is a key competitive advantage. Moreover, Data Analysis often goes hand-in-hand with other critical skills such as [Project Work](\u002Fen-at\u002Fjobs-by-skill\u002Fproject-work), [Microsoft 365](\u002Fen-at\u002Fjobs-by-skill\u002Fmicrosoft-365), [Ai Applications](\u002Fen-at\u002Fjobs-by-skill\u002Fai-applications), enabling professionals to deliver comprehensive solutions. Whether it's optimizing risk models, personalizing customer experiences, or streamlining supply chains, the impact of Data Analysis is profound. For businesses in Österreich, investing in data talent is essential for staying ahead in a rapidly evolving economic landscape. This is why Data Analysis jobs are among the most sought-after, offering exciting opportunities for those who can turn raw data into strategic gold.",{"title":154,"content":155},"Top Industries & Locations","Data Analysis roles in Österreich are particularly concentrated in dynamic sectors and vibrant urban centers. The leading industries for data professionals include [Insurance](\u002Fen-at\u002Fjobs-by-industry\u002Finsurance), [Banking](\u002Fen-at\u002Fjobs-by-industry\u002Fbanking), where data-driven insights are crucial for innovation and compliance. These sectors rely heavily on data analysts to drive efficiency, manage risk, and uncover new opportunities. Geographically, the hotspots for Data Analysis jobs are [Innsbruck](\u002Fen-at\u002Fjobs-in-innsbruck), [Wien](\u002Fen-at\u002Fjobs-in-wien), which are home to a mix of multinational corporations, innovative startups, and established financial institutions. These locations offer a rich ecosystem for data professionals, with access to networking events, continuous learning, and career advancement. Whether you're interested in banking, insurance, or technology, these hubs provide a fertile ground for your Data Analysis career. Moreover, the concentration of data roles in these areas means a competitive job market, but also a higher likelihood of finding a role that matches your expertise and aspirations. For those willing to relocate, these locations promise a rewarding professional journey.",{"title":157,"content":158},"In-Demand Skills & Employers","To excel in Data Analysis in Österreich, professionals must possess a blend of technical and soft skills. The most sought-after expertise includes [Documentation](\u002Fen-at\u002Fjobs-by-expertise\u002Fdocumentation), [Claims Management](\u002Fen-at\u002Fjobs-by-expertise\u002Fclaims-management), [Tender Management](\u002Fen-at\u002Fjobs-by-expertise\u002Ftender-management), which are essential for tackling complex business challenges. Employers are looking for candidates who can not only manipulate data but also communicate findings effectively to stakeholders. In addition to domain expertise, proficiency in tools and programming languages is critical. The top employers in this field, such as [Bank für Tirol und Vorarlberg Aktiengesellschaft](\u002Fen-at\u002Fcompany\u002Fbank-fuer-tirol-und-vorarlberg-aktiengesellschaft), [Generali Versicherung AG](\u002Fen-at\u002Fcompany\u002Fgenerali-versicherung-ag), are known for their data-centric cultures and offer attractive opportunities for growth. These organizations value professionals who are curious, analytical, and adept at problem-solving. They often provide extensive training and development programs to help you stay at the forefront of data trends. Whether you are a seasoned data analyst or just starting, aligning your skills with these in-demand areas will make you a competitive candidate in the Austrian job market. Continuous learning and adaptability are key to thriving in this ever-evolving field.",{"title":160,"content":161},"Career Path & Salary","A career in Data Analysis in Österreich offers a promising trajectory with competitive compensation. Currently, there are 3 open positions, reflecting a robust demand for data talent. The median salary for Data Analysis roles is €65k, with a typical range between €58k – €65k. Entry-level positions start around €40k, while experienced professionals can earn up to €65k, depending on the industry and location. Career progression often follows a path from Data Analyst to Senior Data Analyst, then to roles like Data Scientist or Analytics Manager, with corresponding increases in responsibility and pay. To maximize your earning potential, consider specializing in high-demand sectors and continuously upgrading your skills. Networking and gaining practical experience through projects can also accelerate your career growth. With the right blend of skills and experience, Data Analysis offers a rewarding and lucrative career in Österreich, with ample opportunities for advancement in a data-driven economy.","skill:data-analysis:at","2026-09-02T18:06:04.376102+02:00",{"total":17,"jobs":165},[166,192,211],{"id":167,"slug":168,"title":169,"raw_title":170,"is_featured":171,"company":172,"raw_hiringOrganization_logo_url":175,"processed_city_gmaps":176,"processed_country_iso_code_gmaps":178,"processed_home_office":180,"processed_salary_min":181,"processed_salary_max":182,"processed_salary_currency":130,"processed_salary_source":183,"processed_working_hours":184,"processed_employment_types":15,"processed_it_skills":185,"processed_it_skills_labels":187,"processed_job_expertise_skills":189,"processed_job_expertise_skills_labels":190,"max_cpc":12,"actual_cpc":12},89082,"marketing-experte-all-genders-mit-fokus-auf-marketing-automation-in-vollzeit-aktuelle-jobs-btv-vier-laender-bank-ag","Marketing Experte (all genders) mit Fokus auf Marketing Automation in Vollzeit",null,false,{"name":173,"slug":174,"logo_url":170},"Bank für Tirol und Vorarlberg Aktiengesellschaft","bank-fuer-tirol-und-vorarlberg-aktiengesellschaft","https:\u002F\u002Fwww.btv-jobs.at\u002Finc\u002Fdisplay_image.php?id=1&type=logo",[177],"Innsbruck",[179],"AT","onsite",51948,65000,"estimated",[133],{"a\u002Fb testing":17,"crm systems":186,"data analysis":17,"microsoft dynamics 365":186,"marketing automation tools":186},4,[118,188,112,94,124],"CRM Systems",{"crm":186,"marketing":186,"email marketing":186,"campaign management":186,"marketing automation":186,"customer segmentation":186,"data-driven marketing":186,"digital marketing trends":17,"customer journey management":186},[60,191,30,63,33,21,48,36,39],"CRM",{"id":193,"slug":194,"title":195,"raw_title":170,"is_featured":171,"company":196,"raw_hiringOrganization_logo_url":170,"processed_city_gmaps":199,"processed_country_iso_code_gmaps":201,"processed_home_office":202,"processed_salary_min":203,"processed_salary_max":182,"processed_salary_currency":130,"processed_salary_source":183,"processed_working_hours":204,"processed_employment_types":15,"processed_it_skills":205,"processed_it_skills_labels":206,"processed_job_expertise_skills":208,"processed_job_expertise_skills_labels":209,"max_cpc":12,"actual_cpc":12},68536,"underwriterin-im-sachversicherungsbereich-fuer-grosskundinnen-generali-versicherung-ag","Underwriter_in im Sachversicherungsbereich für Großkund_innen",{"name":197,"slug":198,"logo_url":170},"Generali Versicherung AG","generali-versicherung-ag",[200],"Wien",[179],"hybrid",52000,[133],{"excel":17,"data analysis":17},[207,94],"Excel",{"underwriting":186,"risk assessment":186,"risk calculation":186,"risk engineering":17,"market observation":17,"insurance solutions":186,"sanitation measures":17,"portfolio controlling":17},[210,75,78,51,57,66,84,81],"Underwriting",{"id":212,"slug":213,"title":214,"raw_title":170,"is_featured":171,"company":215,"raw_hiringOrganization_logo_url":175,"processed_city_gmaps":216,"processed_country_iso_code_gmaps":217,"processed_home_office":180,"processed_salary_min":218,"processed_salary_max":219,"processed_salary_currency":130,"processed_salary_source":183,"processed_working_hours":220,"processed_employment_types":15,"processed_it_skills":221,"processed_it_skills_labels":222,"processed_job_expertise_skills":225,"processed_job_expertise_skills_labels":226,"max_cpc":12,"actual_cpc":227},50573,"versicherungs-prozessmanager-all-genders-in-vollzeit-aktuelle-jobs-btv-vier-laender-bank-ag","Versicherungs- & Prozessmanager (all genders) in Vollzeit",{"name":173,"slug":174,"logo_url":170},[177],[179],40000,50000,[133],{"project work":17,"data analysis":17,"microsoft 365":17,"ai applications":8,"digital interfaces":8,"process management":17,"automation solutions":8},[223,94,121,127,224,100,106],"Microsoft 365","AI Applications",{"documentation":17,"claims management":17,"tender management":17,"interface management":17,"process optimization":186,"digital workflow design":17,"process standardization":186,"strategic project participation":17},[69,72,24,90,42,54,45,87],0.8,{"total":229,"jobs":230},0,[]]