[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-python-br":3,"job-search-\u002Fen-br\u002Fjobs-by-skill\u002Fpython":33,"featured-jobs-\u002Fen-br\u002Fjobs-by-skill\u002Fpython":493,"skill-page-filters-\u002Fen-br\u002Fjobs-by-skill\u002Fpython":496},{"image_path":4,"content_de":5,"content_en":18,"composite_key":31,"last_updated":32},"\u002Fimages\u002Fskill\u002Fpython.webp",{"tab1":6,"tab2":9,"tab3":12,"tab4":15},{"title":7,"content":8},"Bedeutung & Relevanz","Die Bedeutung von [Python](\u002Fjobs-by-skill\u002Fpython) in [Brasilien](\u002Fsearch) hat in den letzten Jahren exponentiell zugenommen, insbesondere im Finanzsektor. Als vielseitige Programmiersprache ermöglicht Python die Automatisierung komplexer Finanzprozesse, Datenanalyse im großen Maßstab und die Entwicklung fortschrittlicher Finanzmodelle. In einem dynamischen Markt wie [Brasilien](\u002Fsearch), wo Effizienz und Präzision entscheidend sind, wird Python zur Schlüsseltechnologie für Wettbewerbsvorteile.\n\nFür Unternehmen wie [BRL Trust DTVM S.A.](\u002Fcompany\u002Fbrl-trust-dtmv-sa) und [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance) ist Python unverzichtbar geworden. Die Sprache unterstützt kritische Funktionen wie Risikomanagement, Portfolioüberwachung und regulatorische Berichterstattung. Mit der wachsenden Digitalisierung des brasilianischen Finanzsektors wird Python zur Grundlage für Innovationen in den Bereichen [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) und Versicherungsdienstleistungen.\n\nDie Relevanz von Python zeigt sich besonders in [São Paulo](\u002Fjobs-in-sao-paulo), dem Finanzzentrum [Brasiliens](\u002Fsearch), wo Finanzinstitute zunehmend auf datengesteuerte Entscheidungsfindung setzen. Python ermöglicht die Verarbeitung großer Datenmengen, die Entwicklung prädiktiver Modelle und die Erstellung interaktiver Dashboards – alles essentielle Fähigkeiten für den modernen Finanzmarkt.",{"title":10,"content":11},"Top-Branchen & Standorte","In [Brasilien](\u002Fsearch) ist die Nachfrage nach [Python](\u002Fjobs-by-skill\u002Fpython)-Kenntnissen besonders in bestimmten Branchen und Regionen konzentriert. [São Paulo](\u002Fjobs-in-sao-paulo) steht als wirtschaftliches Zentrum an erster Stelle, wo führende Finanzinstitute und Versicherungsunternehmen nach Python-Experten suchen. Die Stadt beherbergt zahlreiche Unternehmen des [Asset Management](\u002Fjobs-by-industry\u002Fasset-management)-Bereichs und Versicherungsdienstleister, die Python für ihre Kernprozesse einsetzen.\n\nDie wichtigsten Branchen für Python-Profis in [Brasilien](\u002Fsearch) umfassen Versicherungen, Finanzdienstleistungen und speziell Finanzdienstleistungen im Bereich Fondsverwaltung. Im [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) wird Python für Portfoliooptimierung und Risikoanalyse eingesetzt, während Versicherungsunternehmen die Sprache für Aktuariat und Schadensmodellierung nutzen.\n\nWeitere bedeutende Standorte mit wachsender Python-Nachfrage sind die Finanzzentren in Rio de Janeiro und Brasília, wo regulatorische Anforderungen und die Digitalisierung der Finanzmärkte den Bedarf an Python-Experten kontinuierlich steigern. Die Kombination aus Python-Kenntnissen und Branchenwissen macht Fachkräfte in diesen Regionen besonders gefragt.",{"title":13,"content":14},"Gefragte Skills & Arbeitgeber","Führende Unternehmen in [Brasilien](\u002Fsearch) wie [BRL Trust DTVM S.A.](\u002Fcompany\u002Fbrl-trust-dtmv-sa) und [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance) suchen aktiv nach [Python](\u002Fjobs-by-skill\u002Fpython)-Experten mit spezifischen Fachkenntnissen. Diese Arbeitgeber erwarten Kombinationen aus Python-Programmierung und Domänenwissen in Bereichen wie [Portfoliomanagement](\u002Fjobs-by-expertise\u002Fportfolio-management), [Finanzanalyse](\u002Fjobs-by-expertise\u002Ffinancial-analysis) und Prozessverbesserung.\n\nBesonders gefragt sind Expertise in Portfolioüberwachung, Finanzmodellierung und Datenbehandlung. Python-Entwickler mit Kenntnissen in Dashboard-Erstellung, Geschäftsintelligenz und Prozessautomatisierung finden bei diesen Top-Arbeitgebern exzellente Karrierechancen. Die Fähigkeit, Python mit Tools wie [Power BI](\u002Fjobs-by-skill\u002Fpower-bi) und [SQL](\u002Fjobs-by-skill\u002Fsql) zu integrieren, ist besonders wertvoll.\n\nWeitere relevante Expertisen umfassen Steuercompliance, Teammanagement und regulatorische Berichterstattung. Unternehmen im [Asset Management](\u002Fjobs-by-industry\u002Fasset-management)-Bereich suchen zunehmend nach Python-Experten mit Kenntnissen in Investmentfonds, Kreditanalyse und Risikobewertung. Die Digitalisierung treibt auch die Nachfrage nach Python-Spezialisten mit Wissen in digitaler Transformation und Stakeholder-Management.",{"title":16,"content":17},"Karriere & Entwicklung","Die Karrierewege für [Python](\u002Fjobs-by-skill\u002Fpython)-Experten in [Brasilien](\u002Fsearch) sind vielfältig und vielversprechend. Einstiegspositionen beginnen oft als Data Analyst oder Junior Developer, mit Aufstiegsmöglichkeiten zu Senior Python Developer, Data Scientist oder FinTech-Spezialist. Die Kombination aus Python und Domänenwissen im Finanzbereich öffnet Türen zu Führungspositionen.\n\nUm Python zu erlernen, empfehlen sich Online-Kurse, Zertifizierungen und praktische Projekte. Wichtige ergänzende Fähigkeiten sind [SQL](\u002Fjobs-by-skill\u002Fsql), [MS Excel](\u002Fjobs-by-skill\u002Fms-excel) und Business Intelligence Tools wie [Power BI](\u002Fjobs-by-skill\u002Fpower-bi). Die Integration von Python mit [R](\u002Fjobs-by-skill\u002Fr) für statistische Analysen und mit ERP-Systemen für Prozessautomatisierung ist besonders wertvoll.\n\nEntwicklungspfade führen häufig zu Spezialisierungen in [Finanzanalyse](\u002Fjobs-by-expertise\u002Ffinancial-analysis), [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management) oder Datenwissenschaft. Kontinuierliches Lernen in Bereichen wie künstliche Intelligenz, maschinelles Lernen und Prozessverbesserung sichert langfristigen Karriereerfolg. Networking in [São Paulo](\u002Fjobs-in-sao-paulo)s Finanzcommunity und Teilnahme an Fachkonferenzen beschleunigen die berufliche Entwicklung erheblich.",{"tab1":19,"tab2":22,"tab3":25,"tab4":28},{"title":20,"content":21},"Strategic Importance","Python has emerged as a cornerstone programming language in Brazil's rapidly evolving financial sector, particularly in São Paulo's bustling financial hubs. Its strategic importance stems from Python's versatility in handling complex financial data, automating repetitive processes, and developing sophisticated analytical models that drive investment decisions. In Brazil's competitive financial landscape, where institutions like [BRL Trust DTVM S.A.](\u002Fcompany\u002Fbrl-trust-dtmv-sa) and [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance) operate, Python enables professionals to perform advanced [Financial Analysis](\u002Fjobs-by-expertise\u002Ffinancial-analysis) and build predictive models for market trends. The language's extensive libraries for data manipulation and statistical analysis make it indispensable for processing Brazil's unique financial datasets, from [Investment Funds](\u002Fjobs-by-expertise\u002Finvestment-funds) monitoring to [Risk Assessment](\u002Fjobs-by-expertise\u002Frisk-assessment). As Brazil's [Financial Services](\u002Fjobs-by-industry\u002Ffinancial-services) industry embraces digital transformation, Python serves as the backbone for developing automated solutions in [Portfolio Management](\u002Fjobs-by-expertise\u002Fportfolio-management) and regulatory compliance systems. Financial institutions increasingly rely on Python for [Process Improvement](\u002Fjobs-by-expertise\u002Fprocess-improvement) initiatives, helping streamline operations while maintaining accuracy in financial reporting and compliance with Brazil's specific regulatory requirements.",{"title":23,"content":24},"Top Industries & Locations","In Brazil, Python expertise is most sought after within São Paulo's financial district, where major financial institutions and insurance companies concentrate their technology operations. The [Insurance](\u002Fjobs-by-industry\u002Finsurance) industry represents a primary demand center, with companies leveraging Python for actuarial calculations, claims processing automation, and risk modeling. Brazil's robust [Financial Services](\u002Fjobs-by-industry\u002Ffinancial-services) sector, particularly in fund administration and [Asset Management](\u002Fjobs-by-industry\u002Fasset-management), relies heavily on Python for portfolio optimization and performance analytics. São Paulo's position as Brazil's financial capital makes it the epicenter for Python-related roles in financial technology, with institutions developing sophisticated algorithms for market analysis and investment strategy implementation. The [Financial Services - Fund Administration](\u002Fjobs-by-industry\u002Ffinancial-services-fund-administration) segment specifically utilizes Python for automating NAV calculations, compliance reporting, and client portfolio monitoring. Beyond traditional finance, Python skills are increasingly valuable in Brazil's growing fintech ecosystem, where startups and established players alike use the language to build scalable financial platforms and data-driven investment tools that cater to Brazil's unique market dynamics.",{"title":26,"content":27},"In-Demand Skills & Employers","Leading Brazilian financial institutions like [BRL Trust DTVM S.A.](\u002Fcompany\u002Fbrl-trust-dtmv-sa) and [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance) actively seek professionals who combine Python proficiency with expertise in [Portfolio Monitoring](\u002Fjobs-by-expertise\u002Fportfolio-monitoring), [Financial Modeling](\u002Fjobs-by-expertise\u002Ffinancial-modeling), and [Data Analysis](\u002Fjobs-by-expertise\u002Fdata-analysis). These employers value Python's application in developing sophisticated [Dashboard Construction](\u002Fjobs-by-expertise\u002Fdashboard-construction) for real-time performance tracking and [Trend Analysis](\u002Fjobs-by-expertise\u002Ftrend-analysis) of Brazilian market movements. The integration of Python with [Financial Markets](\u002Fjobs-by-expertise\u002Ffinancial-markets) knowledge enables professionals to build algorithms for credit risk assessment and fixed income product analysis specific to Brazil's economic environment. Companies particularly seek candidates who can apply Python to [Process Automation](\u002Fjobs-by-expertise\u002Fprocess-automation) in financial operations, [Regulatory Reporting](\u002Fjobs-by-expertise\u002Fregulatory-reporting), and [Digital Transformation](\u002Fjobs-by-expertise\u002Fdigital-transformation) initiatives. Expertise in [Actuarial Science](\u002Fjobs-by-expertise\u002Factuarial-science) combined with Python programming is highly valued in Brazil's insurance sector for pricing process optimization and risk modeling. The ability to use Python for [KPI Development](\u002Fjobs-by-expertise\u002Fkpi-development) and [Business Intelligence](\u002Fjobs-by-expertise\u002Fbusiness-intelligence) consultancy makes professionals particularly attractive to employers navigating Brazil's complex financial landscape.",{"title":29,"content":30},"Career & Development","Career progression for Python professionals in Brazil typically begins with roles in data analysis or financial modeling, advancing to positions like Quantitative Analyst, Financial Data Scientist, or FinTech Developer. Aspiring professionals should complement Python skills with expertise in [SQL](\u002Fjobs-by-skill\u002Fsql) for database management, [R](\u002Fjobs-by-skill\u002Fr) for statistical analysis, and [Power BI](\u002Fjobs-by-skill\u002Fpower-bi) for data visualization - all crucial in Brazil's data-driven financial environment. Mastering [VBA](\u002Fjobs-by-skill\u002Fvba) alongside Python enables automation of legacy systems still prevalent in many Brazilian financial institutions. The combination of Python with [Business Intelligence Tools](\u002Fjobs-by-skill\u002Fbusiness-intelligence-tools) and [ERP Systems](\u002Fjobs-by-skill\u002Ferp-systems) knowledge opens doors to senior roles in process optimization and digital transformation. Brazilian professionals should focus on developing Python applications for specific local financial challenges, such as [Tax Compliance](\u002Fjobs-by-expertise\u002Ftax-compliance) automation and [Credit Analysis](\u002Fjobs-by-expertise\u002Fcredit-analysis) systems. Continuous learning through Brazil's growing fintech ecosystem and participation in local Python communities can accelerate career growth. Combining Python with domain knowledge in [Investment Funds](\u002Fjobs-by-expertise\u002Finvestment-funds) and [Financial Reporting](\u002Fjobs-by-expertise\u002Ffinancial-reporting) creates pathways to leadership positions in Brazil's competitive financial technology landscape.","skill:python:br","2026-08-17T09:01:40.593883+02:00",{"total":34,"jobs":35},14,[36,90,111,141,166,188,227,254,296,324,359,384,428,459],{"id":37,"slug":38,"title":39,"raw_title":40,"is_featured":41,"company":42,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":46,"processed_country_iso_code_gmaps":48,"processed_home_office":50,"processed_salary_min":51,"processed_salary_max":52,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":55,"processed_employment_types":57,"processed_it_skills":58,"processed_it_skills_labels":61,"processed_job_expertise_skills":68,"processed_job_expertise_skills_labels":69,"max_cpc":89,"actual_cpc":89},87120,"bra-data-scientist-iii-customer-interaction-banco-santander-brasil-sa","BRA Data Scientist III | Customer Interaction",null,false,{"name":43,"slug":44,"logo_url":45},"Banco Santander (Brasil) S.A.","banco-santander-brasil-sa","\u002Fimages\u002Flogos\u002Fsantander-logo-2018.svg",[47],"Vila Olímpia",[49],"BR","hybrid",120000,180000,"BRL","estimated",[56],"FULL_TIME","permanent",{"aws":59,"sql":60,"mlops":59,"python":60,"pyspark":60,"databricks":60},3,4,[62,63,64,65,66,67],"Python","SQL","PySpark","Databricks","AWS","MLOps",{"data science":60,"segmentation":60,"customer value":60,"next best offer":60,"churn prevention":60,"machine learning":60,"model governance":59,"model monitoring":59,"model validation":60,"next best action":60,"analytical design":60,"productionization":59,"impact measurement":60,"propensity modeling":60,"customer acquisition":60,"statistical modeling":60,"performance evaluation":60,"interaction optimization":60,"customer interaction strategies":60},[70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88],"Data Science","Machine Learning","Statistical Modeling","Model Validation","Performance Evaluation","Analytical Design","Customer Interaction Strategies","Churn Prevention","Customer Acquisition","Next Best Offer","Next Best Action","Customer Value","Propensity Modeling","Segmentation","Impact Measurement","Interaction Optimization","Model Governance","Model Monitoring","Productionization",1,{"id":91,"slug":92,"title":93,"raw_title":40,"is_featured":41,"company":94,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":97,"processed_country_iso_code_gmaps":99,"processed_home_office":50,"processed_salary_min":51,"processed_salary_max":52,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":100,"processed_employment_types":57,"processed_it_skills":101,"processed_it_skills_labels":102,"processed_job_expertise_skills":103,"processed_job_expertise_skills_labels":104,"max_cpc":89,"actual_cpc":89},88089,"analista-senior-de-risco-e-enquadramento-apex-group-distribuidora-de-titulos-e-valores-mobiliarios-sa","Analista Sênior de Risco e Enquadramento",{"name":95,"slug":96,"logo_url":40},"Apex Group Distribuidora de Títulos e Valores Mobiliários S.A.","apex-group-distribuidora-de-titulos-e-valores-mobiliarios-sa",[98],"São Paulo",[49],[56],{"sql":59,"python":59},[62,63],{"stress testing":59,"var monitoring":59,"fund regulation":60,"credit risk modeling":60,"regulatory compliance":60,"tax regime monitoring":59},[105,106,107,108,109,110],"Credit Risk Modeling","Regulatory Compliance","Stress Testing","VaR Monitoring","Tax Regime Monitoring","Fund Regulation",{"id":112,"slug":113,"title":114,"raw_title":40,"is_featured":41,"company":115,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":116,"processed_country_iso_code_gmaps":117,"processed_home_office":50,"processed_salary_min":118,"processed_salary_max":119,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":120,"processed_employment_types":57,"processed_it_skills":121,"processed_it_skills_labels":122,"processed_job_expertise_skills":132,"processed_job_expertise_skills_labels":133,"max_cpc":89,"actual_cpc":89},87132,"data-scientist-customer-interactions-iii-banco-santander-brasil-sa","Data Scientist (Customer Interactions) III",{"name":43,"slug":44,"logo_url":45},[47],[49],12000,18000,[56],{"rag":60,"sql":60,"apis":59,"llms":60,"python":60,"pyspark":59,"ai agents":60,"databricks":59,"embeddings":60,"generative ai":60,"cloud computing":59,"semantic search":60,"tool\u002Ffunction calling":60},[62,63,65,64,123,124,125,126,127,128,129,130,131],"Cloud Computing","LLMs","Generative AI","RAG","Embeddings","Semantic Search","Tool\u002FFunction Calling","AI Agents","APIs",{"ai security":59,"ai governance":59,"ai monitoring":60,"responsible ai":59,"ai experimentation":60,"customer experience":59,"ai solution evaluation":60},[134,135,136,137,138,139,140],"AI Solution Evaluation","AI Monitoring","AI Experimentation","Responsible AI","AI Security","AI Governance","Customer Experience",{"id":142,"slug":143,"title":144,"raw_title":40,"is_featured":41,"company":145,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":146,"processed_country_iso_code_gmaps":147,"processed_home_office":148,"processed_salary_min":51,"processed_salary_max":52,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":149,"processed_employment_types":57,"processed_it_skills":150,"processed_it_skills_labels":151,"processed_job_expertise_skills":152,"processed_job_expertise_skills_labels":153,"max_cpc":89,"actual_cpc":89},87143,"espec-riscos-mercado-iii-banco-santander-brasil-sa-2","Espec Riscos Mercado III",{"name":43,"slug":44,"logo_url":45},[],[49],"onsite",[56],{"python":60},[62],{"murex":59,"risk metrics":59,"linear algebra":60,"data manipulation":60,"numerical methods":60,"data transformation":60,"regression analysis":60,"time series analysis":60,"financial instruments":59,"quantitative modeling":60,"market risk management":60,"probability and statistics":60},[154,155,156,157,158,159,160,161,162,163,164,165],"Quantitative Modeling","Market Risk Management","Numerical Methods","Probability and Statistics","Regression Analysis","Time Series Analysis","Linear Algebra","Data Manipulation","Data Transformation","Murex","Financial Instruments","Risk Metrics",{"id":167,"slug":168,"title":169,"raw_title":40,"is_featured":41,"company":170,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":171,"processed_country_iso_code_gmaps":172,"processed_home_office":148,"processed_salary_min":51,"processed_salary_max":52,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":173,"processed_employment_types":57,"processed_it_skills":174,"processed_it_skills_labels":176,"processed_job_expertise_skills":177,"processed_job_expertise_skills_labels":178,"max_cpc":89,"actual_cpc":89},87144,"espec-riscos-mercado-ii-banco-santander-brasil-sa","Espec Riscos Mercado II",{"name":43,"slug":44,"logo_url":45},[],[49],[56],{"murex":175,"python":175},2,[62,163],{"derivatives":60,"fixed income":60,"foreign exchange":60,"treasury products":60,"financial analysis":60,"financial products":60,"process management":60,"system implementation":60,"market risk management":60,"product implementation":60},[155,179,180,181,182,183,184,185,186,187],"Treasury Products","Fixed Income","Foreign Exchange","Derivatives","Financial Products","Process Management","System Implementation","Product Implementation","Financial Analysis",{"id":189,"slug":190,"title":191,"raw_title":40,"is_featured":41,"company":192,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":193,"processed_country_iso_code_gmaps":194,"processed_home_office":148,"processed_salary_min":195,"processed_salary_max":196,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":197,"processed_employment_types":57,"processed_it_skills":198,"processed_it_skills_labels":199,"processed_job_expertise_skills":205,"processed_job_expertise_skills_labels":206,"max_cpc":89,"actual_cpc":89},87130,"data-analytics-sr-leader-banco-santander-brasil-sa","Data & Analytics Sr Leader",{"name":43,"slug":44,"logo_url":45},[],[49],240000,360000,[56],{"git":59,"sql":60,"numpy":60,"spark":60,"pandas":60,"python":60,"pyspark":60,"databricks":60,"scikit-learn":60},[62,63,200,64,65,201,202,203,204],"Spark","Git","Pandas","NumPy","Scikit-Learn",{"gam":60,"glm":60,"ifrs 9":60,"pd modeling":60,"ead modeling":60,"lgd modeling":60,"stress testing":60,"machine learning":60,"model monitoring":60,"model validation":60,"stage allocation":60,"survival analysis":60,"people development":60,"project management":60,"agile methodologies":60,"logistic regression":60,"regulatory modeling":60,"resolução cmn 4.966":60,"credit risk management":60,"expected credit loss (ecl)":60,"generative ai (genai and llms)":60,"audit and regulatory compliance":60,"backtesting and model calibration":60,"applied statistics for risk modeling":60},[207,208,209,210,211,212,213,107,214,215,216,217,218,219,71,220,221,222,73,87,223,224,225,226],"IFRS 9","Resolução CMN 4.966","PD Modeling","LGD Modeling","EAD Modeling","Expected Credit Loss (ECL)","Stage Allocation","Applied Statistics for Risk Modeling","Logistic Regression","Survival Analysis","GLM","GAM","Backtesting and Model Calibration","Generative AI (GenAI and LLMs)","Credit Risk Management","Regulatory Modeling","Audit and Regulatory Compliance","Agile Methodologies","Project Management","People Development",{"id":228,"slug":229,"title":230,"raw_title":40,"is_featured":41,"company":231,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":235,"processed_country_iso_code_gmaps":236,"processed_home_office":50,"processed_salary_min":237,"processed_salary_max":118,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":238,"processed_employment_types":57,"processed_it_skills":239,"processed_it_skills_labels":240,"processed_job_expertise_skills":243,"processed_job_expertise_skills_labels":244,"max_cpc":89,"actual_cpc":89},81581,"analista-de-competitividade-de-mercado-pleno-automovel-allianz-insurance","Analista de Competitividade de Mercado Pleno - Automóvel",{"name":232,"slug":233,"logo_url":234},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[98],[49],8000,[56],{"sql":60,"python":60,"power bi":60,"artificial intelligence":59},[62,63,241,242],"Power BI","Artificial Intelligence",{"pricing":59,"data analysis":60,"actuarial science":59,"data manipulation":60,"report generation":60,"process automation":60,"market intelligence":59,"competitive analysis":60,"statistical analysis":60,"dashboard development":60},[245,161,246,247,248,249,250,251,252,253],"Data Analysis","Dashboard Development","Report Generation","Process Automation","Market Intelligence","Pricing","Competitive Analysis","Statistical Analysis","Actuarial Science",{"id":255,"slug":256,"title":257,"raw_title":40,"is_featured":41,"company":258,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":259,"processed_country_iso_code_gmaps":260,"processed_home_office":148,"processed_salary_min":51,"processed_salary_max":52,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":261,"processed_employment_types":57,"processed_it_skills":262,"processed_it_skills_labels":263,"processed_job_expertise_skills":276,"processed_job_expertise_skills_labels":277,"max_cpc":89,"actual_cpc":89},87127,"cyber-security-spec-iii-purple-team-banco-santander-brasil-sa","Cyber Security Spec III (Purple Team)",{"name":43,"slug":44,"logo_url":45},[],[49],[56],{"aws":59,"gcp":59,"sca":59,"bash":59,"dast":59,"sast":59,"siem":59,"soar":59,"azure":59,"python":59,"edr\u002Fxdr":59,"kubernetes":59,"powershell":59,"container 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