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bi":31},[37,34,67,33,429],"AI",{"automation":31,"consulting":31,"governance":31,"controlling":31,"data analysis":31,"documentation":31,"actuarial reserving":31,"financial reporting":31},[432,78,433,204,208,434,435,436],"Actuarial Reserving","Automation","Governance","Documentation","Consulting",{"id":438,"slug":439,"title":440,"raw_title":10,"is_featured":11,"company":441,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":442,"processed_country_iso_code_gmaps":444,"processed_home_office":91,"processed_salary_min":174,"processed_salary_max":150,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":445,"processed_employment_types":27,"processed_it_skills":446,"processed_it_skills_labels":447,"processed_job_expertise_skills":448,"processed_job_expertise_skills_labels":449,"max_cpc":49,"actual_cpc":49},45665,"senior-consultant-mfd-allianz-consulting-allianz-insurance-2","Senior Consultant (m\u002Ff\u002Fd) - Allianz Consulting",{"name":421,"slug":422,"logo_url":423},[443],"Unterföhring",[19],[26],{"excel":31,"ai tools":29,"powerpoint":31},[97,33,381],{"ai frameworks":29,"client pitches":31,"business development":31,"management consulting":29,"business transformation":29},[450,451,452,453,182],"Management Consulting","Business Transformation","AI Frameworks","Client Pitches",{"id":455,"slug":456,"title":457,"raw_title":10,"is_featured":11,"company":458,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":459,"processed_country_iso_code_gmaps":461,"processed_home_office":20,"processed_salary_min":150,"processed_salary_max":463,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":464,"processed_employment_types":27,"processed_it_skills":465,"processed_it_skills_labels":466,"processed_job_expertise_skills":470,"processed_job_expertise_skills_labels":471,"max_cpc":49,"actual_cpc":49},45831,"head-of-pricing-mfd-allianz-insurance","Head of Pricing (m\u002Ff\u002Fd)",{"name":421,"slug":422,"logo_url":423},[443,460],"Barcelona",[19,462],"ES",130000,[26],{"ai":31,"excel":31,"genai":31,"erp systems":31,"data analysis":31},[429,467,468,33,469],"GenAI","ERP systems","Data analysis",{"costing":31,"pricing":29,"controlling":29,"value flows":31,"billing models":29,"transfer pricing":31,"cost-plus pricing":29,"audit requirements":31,"true-up mechanisms":29,"service productivity":31,"rate card calculation":29,"profitability analysis":29,"business case development":29,"cross-border transactions":31,"financial planning & analysis":29},[472,473,474,475,476,477,478,479,480,481,208,482,483,484,485],"Pricing","Financial Planning & Analysis","Cost-plus pricing","Transfer pricing","Profitability analysis","Business case development","Billing models","Rate card calculation","True-up mechanisms","Audit requirements","Costing","Value flows","Cross-border transactions","Service productivity",{"id":487,"slug":488,"title":489,"raw_title":10,"is_featured":11,"company":490,"raw_hiringOrganization_logo_url":493,"processed_city_gmaps":494,"processed_country_iso_code_gmaps":495,"processed_home_office":20,"processed_salary_min":496,"processed_salary_max":376,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":497,"processed_employment_types":122,"processed_it_skills":498,"processed_it_skills_labels":499,"processed_job_expertise_skills":502,"processed_job_expertise_skills_labels":503,"max_cpc":49,"actual_cpc":49},47050,"werkstudent-risk-steering-wmd-hyundai-capital-bank-europe-gmbh","Werkstudent Risk Steering (w\u002Fm\u002Fd)",{"name":491,"slug":492,"logo_url":10},"Hyundai Capital Bank Europe GmbH","hyundai-capital-bank-europe-gmbh","https:\u002F\u002Fassets.cdn.personio.de\u002Flogos\u002F38642\u002Fsocial\u002F101629513d0dcb93217a58e9c5278fce.png",[172],[19],20000,[121],{"r":30,"sas":30,"sql":30,"excel":31,"power bi":30,"powerpoint":31},[33,97,67,500,501,34],"R","SAS",{"backtesting":31,"risk reporting":31,"vintage analysis":31,"data quality checks":31,"retail underwriting":31,"credit risk analysis":31,"pd model development":31,"performance analysis":31,"portfolio monitoring":31,"scorecard development":31,"credit policy development":30},[504,505,506,507,508,509,510,511,512,513,514],"Credit risk analysis","Retail underwriting","Scorecard development","PD model development","Portfolio monitoring","Backtesting","Performance analysis","Vintage analysis","Risk reporting","Data quality checks","Credit policy development",{"id":516,"slug":517,"title":518,"raw_title":10,"is_featured":11,"company":519,"raw_hiringOrganization_logo_url":523,"processed_city_gmaps":524,"processed_country_iso_code_gmaps":526,"processed_home_office":20,"processed_salary_min":22,"processed_salary_max":150,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":527,"processed_employment_types":27,"processed_it_skills":528,"processed_it_skills_labels":529,"processed_job_expertise_skills":530,"processed_job_expertise_skills_labels":531,"max_cpc":49,"actual_cpc":536},50027,"fachberater-mandatsgeschaeft-senior-mwd-im-private-banking-firmenkundenmandatsgeschaeft-sparkasse-essen","Fachberater Mandatsgeschäft Senior (m\u002Fw\u002Fd) im Private Banking Firmenkunden&Mandatsgeschäft",{"name":520,"slug":521,"logo_url":522},"Sparkasse Essen","sparkasse-essen","\u002Fimages\u002Flogos\u002Fsparkasse-essen-logo.svg","https:\u002F\u002Finstitute-logos.sparkasse.de\u002F36050105.svg",[525],"Essen",[19],[26],{"excel":31,"powerpoint":31},[33,97],{"cross-selling":31,"strategic planning":29,"investment advisory":29,"portfolio management":29,"client relationship management":29},[532,293,533,534,535],"Investment advisory","Client relationship management","Cross-selling","Strategic planning",0.8,{"image_path":538,"content_de":539,"content_en":552,"composite_key":565,"last_updated":10},"\u002Fimages\u002Fskill\u002Fexcel.webp",{"tab1":540,"tab2":543,"tab3":546,"tab4":549},{"title":541,"content":542},"Bedeutung & Relevanz","**Excel** ist eine der grundlegendsten und wichtigsten Softwareanwendungen im deutschen Finanzsektor. In [Deutschland](\u002Fsearch) wird Excel nicht nur für einfache Tabellenkalkulationen genutzt, sondern als zentrales Tool für komplexe Finanzanalysen, [Reporting](\u002Fjobs-by-expertise\u002Freporting), [Budgetplanung](\u002Fjobs-by-expertise\u002Fbudgeting) und [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analysis). Die Beherrschung von Excel ist für Fachkräfte in [Banking](\u002Fjobs-by-industry\u002Fbanking), [Versicherungen](\u002Fjobs-by-industry\u002Finsurance) und [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) unverzichtbar, da es die Basis für fundierte Geschäftsentscheidungen bildet.\n\nIn deutschen Unternehmen wie der [VHV Gruppe](\u002Fcompany\u002Fvhv-gruppe) oder [M.M.Warburg & CO (AG & Co.) KGaA](\u002Fcompany\u002Fmmwarburg-co-ag-co-kgaa) werden täglich umfangreiche Datenmengen mit Excel verarbeitet. Die Software ermöglicht effizientes [Financial Modeling](\u002Fjobs-by-expertise\u002Ffinancial-modeling), [Risikoanalyse](\u002Fjobs-by-expertise\u002Frisk-analysis) und die Erstellung von [Jahresabschlüssen](\u002Fjobs-by-expertise\u002Fannual-financial-statements). Besonders in Zeiten der Digitalisierung gewinnt Excel an Bedeutung, da es sich nahtlos mit anderen Tools wie [Power BI](\u002Fjobs-by-skill\u002Fpower-bi) und [SQL](\u002Fjobs-by-skill\u002Fsql) integrieren lässt.",{"title":544,"content":545},"Top-Branchen & Standorte","Die Nachfrage nach Excel-Kenntnissen konzentriert sich in [Deutschland](\u002Fsearch) besonders auf Finanzzentren wie [Frankfurt am Main](\u002Fjobs-in-frankfurt-am-main), [München](\u002Fjobs-in-muenchen) und [Berlin](\u002Fjobs-in-berlin). In [Hamburg](\u002Fjobs-in-hamburg) und [Stuttgart](\u002Fjobs-in-stuttgart) sind Banken und Versicherungen Hauptarbeitgeber für Excel-Experten.\n\nFührende Branchen für Excel-Anwendungen sind:\n- [Banking](\u002Fjobs-by-industry\u002Fbanking) bei Instituten wie der [Ostsächsische Sparkasse Dresden](\u002Fcompany\u002Fostsaechsische-sparkasse-dresden)\n- [Versicherungen](\u002Fjobs-by-industry\u002Finsurance) bei Unternehmen wie [HanseMerkur Allgemeine Versicherung AG](\u002Fcompany\u002Fhansemerkur-allgemeine-versicherung-ag)\n- [Investment Management](\u002Fjobs-by-industry\u002Finvestment-management) bei [Golding Capital Partners GmbH](\u002Fcompany\u002Fgolding-capital-partners-gmbh)\n- [Real Estate Investment](\u002Fjobs-by-industry\u002Freal-estate-investment) bei [Quantum Immobilien Kapitalverwaltungsgesellschaft mbH](\u002Fcompany\u002Fquantum-immobilien-kapitalverwaltungsgesellschaft-mbh)\n\nAuch in [Potsdam](\u002Fjobs-in-potsdam) bei der [Investitionsbank des Landes Brandenburg](\u002Fcompany\u002Finvestitionsbank-des-landes-brandenburg) und [Saarbrücken](\u002Fjobs-in-saarbruecken) bei [SaarLB](\u002Fcompany\u002Fsaarlb) ist Excel essentiell für Finanzprozesse.",{"title":547,"content":548},"Gefragte Skills & Arbeitgeber","Deutsche Arbeitgeber erwarten Excel-Kenntnisse kombiniert mit Expertise in [Finanzanalyse](\u002Fjobs-by-expertise\u002Ffinancial-analysis), [Portfoliomanagement](\u002Fjobs-by-expertise\u002Fportfolio-management) und [Prozessoptimierung](\u002Fjobs-by-expertise\u002Fprocess-optimization). Top-Unternehmen wie [PIMCO Europe GmbH](\u002Fcompany\u002Fpimco-europe-gmbh) und [LIQID Investments GmbH](\u002Fcompany\u002Fliqid-investments-gmbh) suchen Fachkräfte mit starken Excel-Fähigkeiten für [Performance Analysis](\u002Fjobs-by-expertise\u002Fperformance-analysis) und [Financial Reporting](\u002Fjobs-by-expertise\u002Ffinancial-reporting).\n\nWeitere gefragte Arbeitgeber:\n- [Airbus Bank GmbH](\u002Fcompany\u002Fairbus-bank-gmbh) für [Liquiditätsmanagement](\u002Fjobs-by-expertise\u002Fliquidity-management)\n- [MLP Banking AG](\u002Fcompany\u002Fmlp-banking-ag) für [Vermögensverwaltung](\u002Fjobs-by-expertise\u002Fwealth-management)\n- [Deutsche WertpapierService Bank AG](\u002Fcompany\u002Fdeutsche-wertpapierservice-bank-ag) für [Wertpapierhandel](\u002Fjobs-by-expertise\u002Fsecurities-trading)\n\nEssentielle Zusatzexpertise umfasst [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management), [Datenqualitätsbewertung](\u002Fjobs-by-expertise\u002Fdata-quality-assessment) und [Prognoseerstellung](\u002Fjobs-by-expertise\u002Fforecasting), die alle stark auf Excel aufbauen.",{"title":550,"content":551},"Karriere & Entwicklung","Excel-Kenntnisse öffnen in [Deutschland](\u002Fsearch) Türen zu Karrieren als Financial Analyst, Controller oder Risk Manager. Der typische Entwicklungsweg beginnt mit Grundlagen in [Buchhaltung](\u002Fjobs-by-expertise\u002Faccounting) und [Finanzmathematik](\u002Fjobs-by-expertise\u002Ffinancial-mathematics), gefolgt von Spezialisierung auf [Financial Modeling](\u002Fjobs-by-expertise\u002Ffinancial-modeling) und [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analysis).\n\nEmpfohlene ergänzende IT-Skills:\n- [Power BI](\u002Fjobs-by-skill\u002Fpower-bi) für erweiterte Visualisierungen\n- [SQL](\u002Fjobs-by-skill\u002Fsql) für Datenbankintegration\n- [Python](\u002Fjobs-by-skill\u002Fpython) für Automatisierung\n- [VBA](\u002Fjobs-by-skill\u002Fvba) für Makroprogrammierung\n\nFortbildungen in [Projektmanagement](\u002Fjobs-by-expertise\u002Fproject-management) und [regulatorische Compliance](\u002Fjobs-by-expertise\u002Fregulatory-compliance) verbessern die Karrierechancen. Deutsche Bildungseinrichtungen und Zertifizierungen wie Microsoft Office Specialist bieten strukturierte Lernpfade. Praxisnahe Erfahrung in [Unternehmensentwicklung](\u002Fjobs-by-expertise\u002Fbusiness-development) und [Kundenakquise](\u002Fjobs-by-expertise\u002Fcustomer-acquisition) rundet das Profil ab.",{"tab1":553,"tab2":556,"tab3":559,"tab4":562},{"title":554,"content":555},"Strategic Importance","Excel remains a cornerstone skill in Germany's financial sector, serving as the fundamental tool for data analysis, financial modeling, and reporting across all levels of organizations. In Deutschland, Excel's strategic importance extends beyond basic spreadsheet functions to complex financial calculations, risk analysis, and regulatory compliance reporting. Financial institutions rely heavily on Excel for tasks ranging from simple budget tracking to sophisticated investment portfolio analysis. The widespread adoption of Excel in German financial services ensures that professionals with advanced Excel skills are consistently in high demand. With Germany's strong emphasis on precision and compliance in financial operations, Excel's robust calculation capabilities and audit trail features make it indispensable for maintaining the high standards required in the German market. The integration of Excel with other financial systems and its compatibility with regulatory reporting requirements further solidifies its position as an essential tool for financial professionals operating in Deutschland.",{"title":557,"content":558},"Top Industries & Locations","Excel proficiency is particularly sought after in key German financial hubs and across multiple industries. Major financial centers like [Frankfurt am Main](\u002Fjobs-in-frankfurt-am-main), [Berlin](\u002Fjobs-in-berlin), [München](\u002Fjobs-in-muenchen), and [Hamburg](\u002Fjobs-in-hamburg) show strong demand for Excel expertise. The [banking](\u002Fjobs-by-industry\u002Fbanking) sector, including institutions in [Potsdam](\u002Fjobs-in-potsdam) and [Dresden](\u002Fjobs-in-dresden), relies heavily on Excel for financial analysis and reporting. [Insurance](\u002Fjobs-by-industry\u002Finsurance) companies in locations such as [Hannover](\u002Fjobs-in-hannover) and [Wiesbaden](\u002Fjobs-in-wiesbaden) utilize Excel for risk assessment and claims processing. The [finance](\u002Fjobs-by-industry\u002Ffinance) industry, particularly in [Düsseldorf](\u002Fjobs-in-duesseldorf) and [Stuttgart](\u002Fjobs-in-stuttgart), depends on Excel for investment analysis and portfolio management. [Financial services](\u002Fjobs-by-industry\u002Ffinancial-services) providers across [Deutschland](\u002Fsearch) leverage Excel for client reporting and financial modeling. [Investment management](\u002Fjobs-by-industry\u002Finvestment-management) firms and [real estate investment](\u002Fjobs-by-industry\u002Freal-estate-investment) companies in cities like [Essen](\u002Fjobs-in-essen) and [Karlsruhe](\u002Fjobs-in-karlsruhe) also prioritize Excel skills for their analytical needs.",{"title":560,"content":561},"In-Demand Skills & Employers","Leading German financial institutions actively seek professionals with advanced Excel capabilities combined with complementary expertise. Major employers like [VHV Allgemeine Versicherung AG](\u002Fcompany\u002Fvhv-allgemeine-versicherung-ag), [FERI AG](\u002Fcompany\u002Fferi-ag), and [M.M.Warburg & CO (AG & Co.) KGaA](\u002Fcompany\u002Fmmwarburg-co-ag-co-kgaa) require Excel proficiency for [financial analysis](\u002Fjobs-by-expertise\u002Ffinancial-analysis) and [reporting](\u002Fjobs-by-expertise\u002Freporting). Companies such as [Golding Capital Partners GmbH](\u002Fcompany\u002Fgolding-capital-partners-gmbh) and [PIMCO Europe GmbH](\u002Fcompany\u002Fpimco-europe-gmbh) value Excel skills for [portfolio management](\u002Fjobs-by-expertise\u002Fportfolio-management) and [performance analysis](\u002Fjobs-by-expertise\u002Fperformance-analysis). Institutions including [Deutsche WertpapierService Bank AG](\u002Fcompany\u002Fdeutsche-wertpapierservice-bank-ag) and [Münchener Hypothekenbank eG](\u002Fcompany\u002Fmuenchener-hypothekenbank-eg) utilize Excel for [risk management](\u002Fjobs-by-expertise\u002Frisk-management) and [regulatory compliance](\u002Fjobs-by-expertise\u002Fregulatory-compliance). The expertise required alongside Excel includes [data analysis](\u002Fjobs-by-expertise\u002Fdata-analysis), [budgeting](\u002Fjobs-by-expertise\u002Fbudgeting), [financial reporting](\u002Fjobs-by-expertise\u002Ffinancial-reporting), and [process optimization](\u002Fjobs-by-expertise\u002Fprocess-optimization). Organizations like [Airbus Bank GmbH](\u002Fcompany\u002Fairbus-bank-gmbh) and [BBBank eG](\u002Fcompany\u002Fbbbank-eg) seek professionals who can combine Excel with [project management](\u002Fjobs-by-expertise\u002Fproject-management) skills for comprehensive financial operations.",{"title":563,"content":564},"Career & Development","Excel proficiency opens diverse career paths in Germany's financial sector, from entry-level analyst positions to senior management roles. Professionals can advance from basic data entry roles to specialized positions in [financial analysis](\u002Fjobs-by-expertise\u002Ffinancial-analysis), [risk management](\u002Fjobs-by-expertise\u002Frisk-management), and [investment management](\u002Fjobs-by-expertise\u002Finvestment-management). Career development often involves mastering advanced Excel features like Power Query, Power Pivot, and complex financial modeling. Combining Excel with complementary skills such as [SQL](\u002Fjobs-by-skill\u002Fsql), [Python](\u002Fjobs-by-skill\u002Fpython), and [Power BI](\u002Fjobs-by-skill\u002Fpower-bi) significantly enhances career prospects in [Deutschland](\u002Fsearch). Learning paths include formal certifications like Microsoft Office Specialist, online courses focusing on financial modeling, and practical application through [project work](\u002Fjobs-by-expertise\u002Fproject-work). Professionals should also develop expertise in [data analysis](\u002Fjobs-by-expertise\u002Fdata-analysis), [financial mathematics](\u002Fjobs-by-expertise\u002Ffinancial-mathematics), and [quantitative analysis](\u002Fjobs-by-expertise\u002Fquantitative-analysis) to maximize Excel's potential. The integration of Excel with other financial systems and the ability to perform [market analysis](\u002Fjobs-by-expertise\u002Fmarket-analysis) and [forecasting](\u002Fjobs-by-expertise\u002Fforecasting) are particularly valued in the German market.","skill:excel:de",{"industry":567,"employment_type":641,"expertise_skills":653,"it_skills":725,"salary_currency":794,"processed_working_hours":796},[568,572,575,579,583,587,590,593,596,599,602,605,608,610,612,615,618,621,624,627,629,632,635,638],{"key":569,"label":570,"count":571},"banking","Banking",106,{"key":573,"label":574,"count":571},"financial services","Financial Services",{"key":576,"label":577,"count":578},"insurance","Insurance",63,{"key":580,"label":581,"count":582},"asset management","Asset Management",17,{"key":584,"label":585,"count":586},"finance","Finance",5,{"key":588,"label":589,"count":586},"fleet management","Fleet Management",{"key":591,"label":592,"count":586},"financial technology","Financial 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Club",{"key":622,"label":623,"count":49},"investment","Investment",{"key":625,"label":626,"count":49},"automotive","Automotive",{"key":628,"label":203,"count":49},"accounting",{"key":630,"label":631,"count":49},"software","Software",{"key":633,"label":634,"count":49},"fashion","Fashion",{"key":636,"label":637,"count":49},"lifestyle","Lifestyle",{"key":639,"label":640,"count":49},"alternative asset management","Alternative Asset Management",[642,645,648,650],{"key":27,"label":643,"count":644},"PERMANENT",190,{"key":122,"label":646,"count":647},"STUDENT",77,{"key":253,"label":649,"count":336},"TEMPORARY",{"key":651,"label":652,"count":49},"volunteer","VOLUNTEER",[654,658,661,664,667,671,675,678,681,683,685,688,691,694,697,701,704,707,710,714,716,718,721,723],{"key":655,"label":656,"slug":655,"count":657},"project-management","Project management",68,{"key":659,"label":41,"slug":659,"count":660},"reporting",49,{"key":662,"label":209,"slug":662,"count":663},"process-optimization",35,{"key":665,"label":78,"slug":665,"count":666},"data-analysis",34,{"key":668,"label":669,"slug":668,"count":670},"regulatory-compliance","Regulatory Compliance",33,{"key":672,"label":673,"slug":672,"count":674},"risk-management","Risk Management",22,{"key":676,"label":677,"slug":676,"count":674},"financial-analysis","Financial Analysis",{"key":679,"label":204,"slug":679,"count":680},"financial-reporting",21,{"key":628,"label":203,"slug":628,"count":682},19,{"key":684,"label":208,"slug":684,"count":682},"controlling",{"key":686,"label":687,"slug":686,"count":336},"sales","Sales",{"key":689,"label":690,"slug":689,"count":336},"portfolio-management","Portfolio Management",{"key":692,"label":435,"slug":692,"count":693},"documentation",15,{"key":695,"label":696,"slug":695,"count":693},"regulatory-reporting","Regulatory 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