[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-sql-global":3,"job-search-\u002Fde-global\u002Fjobs-by-skill\u002Fsql?page=73":4,"skill-page-filters-\u002Fde-global\u002Fjobs-by-skill\u002Fsql?page=73":616,"featured-jobs-\u002Fde-global\u002Fjobs-by-skill\u002Fsql?page=73":956},{},{"total":5,"jobs":6},1777,[7,45,87,151,180,206,242,264,287,316,358,380,401,419,442,466,503,524,551,564],{"id":8,"slug":9,"title":10,"raw_title":11,"is_featured":12,"company":13,"raw_hiringOrganization_logo_url":11,"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":31,"processed_job_expertise_skills":36,"processed_job_expertise_skills_labels":37,"max_cpc":44,"actual_cpc":44},59957,"senior-associate-business-operations-pts-phl006-refinitiv-asia-pte-ltd-philippine-branch","Senior Associate, Business Operations, PTS",null,false,{"name":14,"slug":15,"logo_url":11},"Refinitiv Asia Pte. Ltd. Philippine Branch","refinitiv-asia-pte-ltd-philippine-branch",[17],"Taguig",[19],"PH","hybrid",50000,70000,"PHP","estimated",[26],"FULL_TIME","permanent",{"sql":29,"jira":29,"excel":30,"python":29},2,3,[32,33,34,35],"Excel","Python","SQL","Jira",{"qa testing":29,"data analysis":30,"otc derivatives":30,"trade lifecycle":30,"client onboarding":29,"regulatory reporting":29},[38,39,40,41,42,43],"OTC Derivatives","Trade Lifecycle","Data Analysis","QA Testing","Client Onboarding","Regulatory Reporting",1,{"id":46,"slug":47,"title":48,"raw_title":11,"is_featured":12,"company":49,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":52,"processed_country_iso_code_gmaps":54,"processed_home_office":56,"processed_salary_min":57,"processed_salary_max":58,"processed_salary_currency":59,"processed_salary_source":24,"processed_working_hours":60,"processed_employment_types":27,"processed_it_skills":61,"processed_it_skills_labels":62,"processed_job_expertise_skills":73,"processed_job_expertise_skills_labels":75,"max_cpc":44,"actual_cpc":44},82902,"assistant-vice-president-6301-db-usa-core-corporation-5","Assistant Vice President",{"name":50,"slug":51,"logo_url":11},"6301 DB USA Core Corporation","6301-db-usa-core-corporation",[53],"Jacksonville",[55],"US","onsite",125299,130000,"USD",[26],{"sql":30,"java":30,"yaml":30,"prime":30,"mantas":30,"python":30,"actimize":30,"weblogic":30,"kubernetes":30,"servicenow":30,"red hat linux\u002Funix":30,"google cloud platform (gcp)":30},[33,63,34,64,65,66,67,68,69,70,71,72],"Java","YAML","Google Cloud Platform (GCP)","Kubernetes","ServiceNow","Red Hat Linux\u002FUnix","WebLogic","Actimize","Prime","Mantas",{"log parsing":30,"performance tuning":30,"production support":74,"system diagnostics":30,"root cause analysis":30,"itil-based frameworks":30,"application compliance":30,"transaction monitoring":30,"disaster recovery exercises":30,"integration issue resolution":30,"process and memory management":30},4,[76,77,78,79,80,81,82,83,84,85,86],"ITIL-based frameworks","Disaster Recovery Exercises","Production Support","Root Cause Analysis","Transaction Monitoring","Application Compliance","System Diagnostics","Log Parsing","Process and Memory Management","Performance Tuning","Integration Issue Resolution",{"id":88,"slug":89,"title":90,"raw_title":11,"is_featured":12,"company":91,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":94,"processed_country_iso_code_gmaps":96,"processed_home_office":20,"processed_salary_min":98,"processed_salary_max":99,"processed_salary_currency":59,"processed_salary_source":24,"processed_working_hours":100,"processed_employment_types":27,"processed_it_skills":101,"processed_it_skills_labels":102,"processed_job_expertise_skills":121,"processed_job_expertise_skills_labels":122,"max_cpc":44,"actual_cpc":44},65697,"client-and-marketing-analytics-partner-asia-sun-life-assurance-company-of-canada-regional-office","Client and Marketing Analytics Partner, Asia",{"name":92,"slug":93,"logo_url":11},"Sun Life Assurance Company of Canada, Regional Office","sun-life-assurance-company-of-canada-regional-office",[95],"Hong Kong Island",[97],"HK",120000,180000,[26],{"aws":29,"sql":30,"vba":29,"azure":29,"excel":74,"linux":29,"python":30,"marketo":30,"tableau":74,"meta ads":30,"power bi":74,"sprinklr":29,"qualtrics":30,"google ads":30,"salesforce":30,"windsor.ai":30,"adobe target":29,"linkedin ads":30,"supermetrics":30,"microsoft ads":30,"adobe analytics":30},[103,104,34,33,105,32,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120],"Tableau","Power BI","VBA","Salesforce","Adobe Analytics","Marketo","Adobe Target","Google Ads","Meta Ads","LinkedIn Ads","Microsoft Ads","Qualtrics","Sprinklr","Supermetrics","Windsor.ai","AWS","Azure","Linux",{"etl":30,"agentic ai":30,"consulting":30,"data lakes":30,"customer 360":30,"next-best-ad":30,"segmentation":30,"brand management":30,"client analytics":74,"data integration":30,"data warehousing":30,"next-best-action":30,"digital marketing":74,"journey analytics":30,"next-best-channel":30,"next-best-message":30,"data visualization":74,"insurance knowledge":74,"marketing analytics":74,"regional experience":30,"workflow automation":30,"ai-enabled analytics":74,"business intelligence":74,"campaign optimization":74,"performance management":74,"lead generation measurement":74,"financial services knowledge":74,"online-to-offline conversion":74},[123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150],"Marketing Analytics","Client Analytics","Business Intelligence","Data Visualization","Performance Management","Brand Management","Digital Marketing","Lead Generation Measurement","Online-to-Offline Conversion","Data Integration","ETL","Data Warehousing","Data Lakes","AI-enabled Analytics","Agentic AI","Workflow Automation","Next-Best-Action","Next-Best-Message","Next-Best-Ad","Next-Best-Channel","Segmentation","Customer 360","Journey Analytics","Campaign Optimization","Insurance Knowledge","Financial Services Knowledge","Consulting","Regional Experience",{"id":152,"slug":153,"title":154,"raw_title":11,"is_featured":12,"company":155,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":158,"processed_country_iso_code_gmaps":160,"processed_home_office":56,"processed_salary_min":161,"processed_salary_max":162,"processed_salary_currency":59,"processed_salary_source":24,"processed_working_hours":163,"processed_employment_types":27,"processed_it_skills":164,"processed_it_skills_labels":165,"processed_job_expertise_skills":171,"processed_job_expertise_skills_labels":172,"max_cpc":44,"actual_cpc":44},59912,"senior-software-engineer-quantitative-research-london-stock-exchange-group-holdings-inc","Senior Software Engineer, Quantitative Research",{"name":156,"slug":157,"logo_url":11},"London Stock Exchange Group Holdings Inc","london-stock-exchange-group-holdings-inc",[159],"New York",[55],192400,320600,[26],{"aws":30,"git":30,"sql":74,"ci\u002Fcd":30,"polars":74,"python":74,"pyarrow":74,"llm apis":30},[33,166,167,34,118,168,169,170],"Polars","PyArrow","Git","CI\u002FCD","LLM APIs",{"api design":30,"data engineering":74,"index methodologies":30,"investment research":30,"quantitative finance":74,"software architecture":74,"financial data analysis":74},[173,174,175,176,177,178,179],"Quantitative Finance","Financial Data Analysis","Software Architecture","API Design","Data Engineering","Index Methodologies","Investment Research",{"id":181,"slug":182,"title":183,"raw_title":11,"is_featured":12,"company":184,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":188,"processed_country_iso_code_gmaps":190,"processed_home_office":20,"processed_salary_min":98,"processed_salary_max":191,"processed_salary_currency":59,"processed_salary_source":24,"processed_working_hours":192,"processed_employment_types":27,"processed_it_skills":193,"processed_it_skills_labels":194,"processed_job_expertise_skills":196,"processed_job_expertise_skills_labels":197,"max_cpc":44,"actual_cpc":44},45979,"principal-actuarial-analyst-profitability-management-hybrid-allianz-insurance","Principal Actuarial Analyst - Profitability Management | Hybrid",{"name":185,"slug":186,"logo_url":187},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[189],"Minneapolis",[55],160000,[26],{"sql":30,"excel":74,"python":30,"generative ai":30},[32,33,34,195],"Generative AI",{"rate setting":74,"pricing models":74,"actuarial analysis":74,"experience studies":74,"financial modeling":74,"hedging cost analysis":74,"profitability management":74,"indexed products (iul, fia, rila)":74},[198,199,200,201,202,203,204,205],"Actuarial Analysis","Pricing Models","Rate Setting","Profitability Management","Indexed Products (IUL, FIA, RILA)","Hedging Cost Analysis","Experience Studies","Financial Modeling",{"id":207,"slug":208,"title":209,"raw_title":11,"is_featured":12,"company":210,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":211,"processed_country_iso_code_gmaps":213,"processed_home_office":20,"processed_salary_min":215,"processed_salary_max":58,"processed_salary_currency":216,"processed_salary_source":24,"processed_working_hours":217,"processed_employment_types":27,"processed_it_skills":218,"processed_it_skills_labels":219,"processed_job_expertise_skills":229,"processed_job_expertise_skills_labels":230,"max_cpc":44,"actual_cpc":44},46163,"senior-ai-engineer-allianz-insurance-3","Senior AI Engineer",{"name":185,"slug":186,"logo_url":187},[212],"Barcelona",[214],"ES",90000,"EUR",[26],{"sql":74,"ci\u002Fcd":74,"spark":74,"mlflow":74,"python":74,"langchain":74,"databricks":74,"delta lake":74,"llamaindex":74,"azure openai":74,"azure data lake":74,"azure ai services":74},[33,34,220,221,222,223,224,225,226,227,228,169],"Spark","Azure AI services","Azure OpenAI","Azure Data Lake","Databricks","MLflow","Delta Lake","LangChain","LlamaIndex",{"nlp":74,"llms":74,"mlops":74,"agentic ai":74,"generative ai":74,"data engineering":74,"machine learning":74,"vector databases":74,"rag architectures":74,"cloud architecture":74,"project management":30,"model lifecycle management":74,"fine-tuning techniques (lora, rlhf, instruction tuning)":74},[231,195,232,233,137,234,235,236,237,238,239,240,241],"Machine Learning","NLP","LLMs","RAG architectures","Vector databases","MLOps","Model lifecycle management","Fine-tuning techniques (LoRA, RLHF, instruction tuning)","Cloud architecture","Data engineering","Project management",{"id":243,"slug":244,"title":245,"raw_title":11,"is_featured":12,"company":246,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":247,"processed_country_iso_code_gmaps":249,"processed_home_office":20,"processed_salary_min":22,"processed_salary_max":215,"processed_salary_currency":251,"processed_salary_source":24,"processed_working_hours":252,"processed_employment_types":27,"processed_it_skills":253,"processed_it_skills_labels":254,"processed_job_expertise_skills":255,"processed_job_expertise_skills_labels":256,"max_cpc":44,"actual_cpc":44},46053,"principal-technical-pricing-analyst-allianz-insurance-4","Principal Technical Pricing Analyst",{"name":185,"slug":186,"logo_url":187},[248],"London",[250],"GB","GBP",[26],{"sql":74,"excel":74,"python":74,"databricks":74},[33,34,224,32],{"gbm":74,"glm":74,"radar":74,"emblem":74,"back testing":74,"data analysis":74,"pricing models":74,"machine learning":74,"technical pricing":74,"statistical modelling":74},[257,258,231,259,40,199,260,261,262,263],"Statistical Modelling","GLM","GBM","Back Testing","Technical Pricing","Radar","Emblem",{"id":265,"slug":266,"title":267,"raw_title":11,"is_featured":12,"company":268,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":269,"processed_country_iso_code_gmaps":270,"processed_home_office":20,"processed_salary_min":271,"processed_salary_max":272,"processed_salary_currency":251,"processed_salary_source":24,"processed_working_hours":273,"processed_employment_types":27,"processed_it_skills":274,"processed_it_skills_labels":275,"processed_job_expertise_skills":277,"processed_job_expertise_skills_labels":278,"max_cpc":44,"actual_cpc":44},45948,"portfolio-steering-cat-risk-analyst-marine-allianz-insurance","Portfolio Steering & CAT Risk Analyst, Marine",{"name":185,"slug":186,"logo_url":187},[248,159],[250,55],101364,153200,[26],{"sql":30,"vba":30,"excel":74,"power bi":30,"catastrophe modelling tools":74},[32,105,34,104,276],"Catastrophe modelling tools",{"data analysis":74,"risk assessment":74,"portfolio steering":74,"underwriting support":30,"catastrophe modelling":74,"reinsurance analytics":30,"training and education":30,"catastrophe risk management":74},[279,280,281,282,283,284,285,286],"Catastrophe risk management","Catastrophe modelling","Portfolio steering","Data analysis","Risk assessment","Reinsurance analytics","Underwriting support","Training and education",{"id":288,"slug":289,"title":290,"raw_title":11,"is_featured":12,"company":291,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":294,"processed_country_iso_code_gmaps":296,"processed_home_office":56,"processed_salary_min":298,"processed_salary_max":215,"processed_salary_currency":299,"processed_salary_source":24,"processed_working_hours":300,"processed_employment_types":27,"processed_it_skills":301,"processed_it_skills_labels":302,"processed_job_expertise_skills":305,"processed_job_expertise_skills_labels":306,"max_cpc":44,"actual_cpc":44},59720,"team-lead-equity-index-data-management-ind201-refinitiv-india-shared-services-private-limited-2","Team Lead - Equity Index Data Management",{"name":292,"slug":293,"logo_url":11},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[295],"Bengaluru",[297],"IN",60000,"INR",[26],{"aws":29,"baw":29,"sql":74,"power bi":74,"power automate":30},[34,104,303,118,304],"Power Automate","BAW",{"equity markets":74,"data governance":30,"data validation":74,"risk management":30,"index operations":74,"corporate actions":74,"vendor management":30,"index construction":74,"project management":30},[307,308,309,310,311,312,313,314,315],"Index Operations","Equity Markets","Index Construction","Corporate Actions","Data Validation","Vendor Management","Project Management","Data Governance","Risk Management",{"id":317,"slug":318,"title":319,"raw_title":11,"is_featured":12,"company":320,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":323,"processed_country_iso_code_gmaps":324,"processed_home_office":56,"processed_salary_min":325,"processed_salary_max":326,"processed_salary_currency":59,"processed_salary_source":24,"processed_working_hours":327,"processed_employment_types":27,"processed_it_skills":328,"processed_it_skills_labels":329,"processed_job_expertise_skills":341,"processed_job_expertise_skills_labels":342,"max_cpc":44,"actual_cpc":44},53983,"principal-operations-technology-systems-blue-owl-capital-holdings-llc","Principal, Operations Technology Systems",{"name":321,"slug":322,"logo_url":11},"Blue Owl Capital Holdings LLC","blue-owl-capital-holdings-llc",[],[55],200000,300000,[26],{"c#":74,"sql":74,".net":74,"react":74,"claude":74,"python":74,"angular":74,"node.js":74,"tableau":74,"power bi":74,"snowflake":74,"databricks":74,"microsoft azure":74,"snowflake cortex":74,"microsoft copilot":74,"azure data factory":74},[33,330,331,332,333,334,335,34,336,224,337,104,103,338,339,340],"C#",".NET","Node.js","Angular","React","Microsoft Azure","Snowflake","Azure Data Factory","Microsoft Copilot","Claude","Snowflake Cortex",{"web services":74,"etl processes":74,"data governance":74,"ai-enabled tools":74,"api integrations":74,"business analysis":74,"vendor management":74,"project management":74,"system integration":74,"agile methodologies":74,"investor operations":74,"financial technology":74,"process optimization":74,"build vs buy analysis":74,"investment operations":74,"regulatory compliance":74,"reporting & analytics":74,"enterprise architecture":74},[313,343,344,312,345,314,346,347,348,349,350,351,352,353,354,355,356,357],"Agile Methodologies","Enterprise Architecture","Business Analysis","System Integration","ETL Processes","API Integrations","Web Services","Financial Technology","Investment Operations","Investor Operations","Reporting & Analytics","AI-enabled Tools","Build vs Buy Analysis","Process Optimization","Regulatory Compliance",{"id":359,"slug":360,"title":361,"raw_title":11,"is_featured":12,"company":362,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":365,"processed_country_iso_code_gmaps":366,"processed_home_office":56,"processed_salary_min":367,"processed_salary_max":58,"processed_salary_currency":59,"processed_salary_source":24,"processed_working_hours":368,"processed_employment_types":27,"processed_it_skills":369,"processed_it_skills_labels":370,"processed_job_expertise_skills":371,"processed_job_expertise_skills_labels":372,"max_cpc":44,"actual_cpc":44},69821,"ai-solutions-analytics-associate-bbva-red-exterior-de-oficinas","AI Solutions & Analytics Associate",{"name":363,"slug":364,"logo_url":11},"BBVA RED EXTERIOR DE OFICINAS","bbva-red-exterior-de-oficinas",[159],[55],100000,[26],{"sql":74,"python":30},[34,33],{"data analytics":74,"kpi definition":30,"data governance":30,"data engineering":74,"data architecture":30,"analytics engineering":30,"business intelligence":74,"self-service analytics":74,"data product development":74,"enterprise transformation":30},[373,125,177,374,375,314,376,377,378,379],"Data Analytics","Data Architecture","Analytics Engineering","KPI Definition","Data Product Development","Self-service Analytics","Enterprise Transformation",{"id":381,"slug":382,"title":383,"raw_title":11,"is_featured":12,"company":384,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":387,"processed_country_iso_code_gmaps":389,"processed_home_office":20,"processed_salary_min":98,"processed_salary_max":191,"processed_salary_currency":59,"processed_salary_source":24,"processed_working_hours":390,"processed_employment_types":27,"processed_it_skills":391,"processed_it_skills_labels":392,"processed_job_expertise_skills":396,"processed_job_expertise_skills_labels":397,"max_cpc":44,"actual_cpc":44},56570,"senior-data-architect-hybrid-niic-national-interstate-insurance-company","Senior Data Architect - Hybrid",{"name":385,"slug":386,"logo_url":11},"National Interstate Insurance Company","national-interstate-insurance-company",[388],"Richfield",[55],[26],{"etl":74,"sql":74,"snowflake":30,"data modeling":74,"informatica cloud":30,"cloud platforms (aws, azure, google cloud)":74},[34,133,393,394,395,336],"Data Modeling","Cloud Platforms (AWS, Azure, Google Cloud)","Informatica Cloud",{"data quality":74,"data governance":74,"database design":74,"data integration":74,"data architecture":74,"project leadership":74,"regulatory compliance":74},[374,314,132,398,399,357,400],"Database Design","Data Quality","Project Leadership",{"id":402,"slug":403,"title":404,"raw_title":11,"is_featured":12,"company":405,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":406,"processed_country_iso_code_gmaps":407,"processed_home_office":20,"processed_salary_min":408,"processed_salary_max":298,"processed_salary_currency":216,"processed_salary_source":24,"processed_working_hours":409,"processed_employment_types":27,"processed_it_skills":410,"processed_it_skills_labels":411,"processed_job_expertise_skills":412,"processed_job_expertise_skills_labels":413,"max_cpc":44,"actual_cpc":44},59759,"content-analyst-french-language-ind201-refinitiv-india-shared-services-private-limited","Content Analyst - French Language",{"name":292,"slug":293,"logo_url":11},[295],[297],40000,[26],{"sql":30,"excel":30},[32,34],{"coaching":30,"data processing":30,"financial knowledge":30,"process improvement":30,"data quality management":30},[414,415,416,417,418],"Data Processing","Financial Knowledge","Data Quality Management","Process Improvement","Coaching",{"id":420,"slug":421,"title":422,"raw_title":11,"is_featured":12,"company":423,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":426,"processed_country_iso_code_gmaps":428,"processed_home_office":56,"processed_salary_min":430,"processed_salary_max":431,"processed_salary_currency":432,"processed_salary_source":24,"processed_working_hours":433,"processed_employment_types":27,"processed_it_skills":434,"processed_it_skills_labels":435,"processed_job_expertise_skills":436,"processed_job_expertise_skills_labels":437,"max_cpc":44,"actual_cpc":44},49480,"junior-fx-trader-mufg-bank-ltd-seoul-branch","Junior FX Trader",{"name":424,"slug":425,"logo_url":11},"MUFG Bank, Ltd., Seoul Branch","mufg-bank-ltd-seoul-branch",[427],"Seoul",[429],"KR",50000000,90000000,"KRW",[26],{"sql":29,"excel":30,"python":29},[32,33,34],{"hedging":30,"fx trading":30,"risk management":30,"derivatives trading":30,"quantitative analysis":30,"regulatory compliance":30},[438,439,315,440,441,357],"FX Trading","Derivatives Trading","Quantitative Analysis","Hedging",{"id":443,"slug":444,"title":445,"raw_title":11,"is_featured":12,"company":446,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":449,"processed_country_iso_code_gmaps":450,"processed_home_office":56,"processed_salary_min":452,"processed_salary_max":453,"processed_salary_currency":454,"processed_salary_source":24,"processed_working_hours":455,"processed_employment_types":27,"processed_it_skills":456,"processed_it_skills_labels":457,"processed_job_expertise_skills":461,"processed_job_expertise_skills_labels":462,"max_cpc":44,"actual_cpc":44},62236,"ammgr-collections-system-administrator-ocbc-bank","AM\u002FMGR, Collections System Administrator",{"name":447,"slug":448,"logo_url":11},"OCBC Bank","ocbc-bank",[],[451],"SG",45000,65000,"SGD",[26],{"sql":30,"microsoft word":29,"microsoft excel":30,"microsoft powerpoint":29},[458,459,460,34],"Microsoft Excel","Microsoft Word","Microsoft PowerPoint",{"data analysis":30,"project management":29,"system documentation":30,"collections operations":29,"user acceptance testing":30},[463,313,40,464,465],"Collections Operations","User Acceptance Testing","System Documentation",{"id":467,"slug":468,"title":469,"raw_title":11,"is_featured":12,"company":470,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":472,"processed_country_iso_code_gmaps":474,"processed_home_office":20,"processed_salary_min":476,"processed_salary_max":477,"processed_salary_currency":216,"processed_salary_source":24,"processed_working_hours":478,"processed_employment_types":479,"processed_it_skills":480,"processed_it_skills_labels":481,"processed_job_expertise_skills":490,"processed_job_expertise_skills_labels":491,"max_cpc":44,"actual_cpc":44},44681,"praktikantin-agentic-venture-building-all-genders-welcome-amberra","Praktikant:in Agentic Venture Building - all genders welcome",{"name":471,"slug":471,"logo_url":11},"amberra",[473],"Hamburg",[475],"DE",2000,2500,[26],"student",{"gcp":30,"sql":30,"neon":30,"github":30,"python":30,"lovable":30,"vs code":30,"n8n\u002Fmake":30,"claude code":30,"javascript\u002Ftypescript":30},[33,482,34,483,484,485,486,487,488,489],"JavaScript\u002FTypeScript","Claude Code","Lovable","VS Code","GitHub","n8n\u002FMake","GCP","Neon",{"research":30,"automation":30,"a\u002Fb testing":30,"prototyping":74,"data analysis":30,"api integration":30,"mvp development":74,"venture building":74,"experiment design":30,"product development":30,"go-to-market strategy":30,"lean startup methodology":30},[492,493,494,495,496,40,497,498,499,500,501,502],"Venture Building","MVP Development","Prototyping","Go-to-Market Strategy","A\u002FB Testing","Automation","API Integration","Research","Experiment Design","Lean Startup Methodology","Product Development",{"id":504,"slug":505,"title":506,"raw_title":11,"is_featured":12,"company":507,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":511,"processed_country_iso_code_gmaps":513,"processed_home_office":20,"processed_salary_min":298,"processed_salary_max":514,"processed_salary_currency":216,"processed_salary_source":24,"processed_working_hours":515,"processed_employment_types":27,"processed_it_skills":516,"processed_it_skills_labels":517,"processed_job_expertise_skills":519,"processed_job_expertise_skills_labels":520,"max_cpc":44,"actual_cpc":44},50981,"business-consultant-mwd-datenmanagement-facharchitektur-kompositversicherung-rv-versicherung","Business Consultant (m\u002Fw\u002Fd) Datenmanagement Facharchitektur Kompositversicherung",{"name":508,"slug":509,"logo_url":510},"R+V Versicherung","rv-versicherung","https:\u002F\u002Fupload.wikimedia.org\u002Fwikipedia\u002Fcommons\u002Fthumb\u002Fb\u002Fb6\u002FR%2BV-Logo.svg\u002F330px-R%2BV-Logo.svg.png",[512],"Wiesbaden",[475],80000,[26],{"r":30,"sql":74,"python":30},[34,33,518],"R",{"data analysis":74,"data architecture":30,"data product development":30,"insurance domain knowledge":30},[282,521,522,523],"Data architecture","Data product development","Insurance domain knowledge",{"id":525,"slug":526,"title":527,"raw_title":11,"is_featured":12,"company":528,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":531,"processed_country_iso_code_gmaps":533,"processed_home_office":534,"processed_salary_min":298,"processed_salary_max":514,"processed_salary_currency":59,"processed_salary_source":24,"processed_working_hours":535,"processed_employment_types":27,"processed_it_skills":536,"processed_it_skills_labels":537,"processed_job_expertise_skills":543,"processed_job_expertise_skills_labels":544,"max_cpc":44,"actual_cpc":44},62594,"sales-analyst-remote-eligible-mo-ks-az-nm-nv-enterprise-bank-amp-trust","Sales Analyst (Remote Eligible - MO, KS, AZ, NM, NV)",{"name":529,"slug":530,"logo_url":11},"Enterprise Bank & Trust","enterprise-bank-trust",[532],"Creve Coeur",[55],"remote",[26],{"sql":30,"power query":74,"google suite":30,"salesforce.com":30,"microsoft excel":74,"microsoft office":30,"microsoft power bi":74},[538,539,34,458,540,541,542],"Microsoft Power BI","Power Query","Salesforce.com","Google Suite","Microsoft Office",{"forecasting":74,"data analysis":74,"crm management":74,"etl operations":74,"sales analysis":74,"data governance":30,"market analysis":30,"report planning":74,"data visualization":74},[40,545,546,547,126,548,314,549,550],"Sales Analysis","Forecasting","CRM Management","Market Analysis","Report Planning","ETL Operations",{"id":552,"slug":553,"title":290,"raw_title":11,"is_featured":12,"company":554,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":555,"processed_country_iso_code_gmaps":556,"processed_home_office":56,"processed_salary_min":514,"processed_salary_max":557,"processed_salary_currency":299,"processed_salary_source":24,"processed_working_hours":558,"processed_employment_types":27,"processed_it_skills":559,"processed_it_skills_labels":560,"processed_job_expertise_skills":561,"processed_job_expertise_skills_labels":562,"max_cpc":44,"actual_cpc":44},59716,"team-lead-equity-index-data-management-ind201-refinitiv-india-shared-services-private-limited",{"name":292,"slug":293,"logo_url":11},[295],[297],110000,[26],{"aws":29,"baw":29,"sql":74,"power bi":74,"power automate":30},[34,104,303,118,304],{"automation":30,"equity markets":74,"data governance":74,"data validation":74,"risk management":30,"index operations":74,"client engagement":74,"corporate actions":74,"vendor management":30,"index construction":74},[307,308,309,310,311,312,563,497,314,315],"Client Engagement",{"id":565,"slug":566,"title":567,"raw_title":11,"is_featured":12,"company":568,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":571,"processed_country_iso_code_gmaps":573,"processed_home_office":56,"processed_salary_min":574,"processed_salary_max":575,"processed_salary_currency":59,"processed_salary_source":24,"processed_working_hours":576,"processed_employment_types":27,"processed_it_skills":577,"processed_it_skills_labels":578,"processed_job_expertise_skills":608,"processed_job_expertise_skills_labels":609,"max_cpc":44,"actual_cpc":615},62766,"senior-data-engineer-001-prudential-ins-co-of-america","Senior Data Engineer",{"name":569,"slug":570,"logo_url":11},"Prudential Ins Co of America","prudential-ins-co-of-america",[572],"Newark",[55],104000,171600,[26],{"r":30,"aws":74,"sql":74,"java":30,"ci\u002Fcd":30,"kafka":30,"nosql":30,"scala":30,"devops":74,"lambda":30,"python":74,"splunk":30,"airflow":30,"ansible":30,"appflow":29,"autosys":29,"kinesis":30,"pyspark":74,"tableau":30,"testing":30,"aws glue":30,"ms excel":30,"power bi":30,"security":30,"graph dbs":29,"snowflake":30,"cloudwatch":30,"data lakes":74,"apache spark":74,"aws redshift":30,"unit testing":30,"data modeling":74,"cloudformation":30,"data ingestion":74,"step functions":30,"data protection":30,"shell scripting":30,"data warehousing":74,"data visualization":30,"data transformation":74,"integration testing":30,"functional automation":30},[33,518,34,63,579,580,581,582,118,583,336,584,585,586,587,588,589,590,103,104,591,592,593,594,595,596,597,169,598,599,393,134,135,600,601,126,602,603,604,605,606,607],"Scala","PySpark","Apache Spark","Shell scripting","AWS Redshift","Kinesis","Kafka","Airflow","AppFlow","Autosys","Cloudwatch","Splunk","MS Excel","Ansible","CloudFormation","AWS Glue","Lambda","Step functions","DevOps","NoSQL","Graph DBs","Data Ingestion","Data Transformation","Data Protection","Security","Testing","Unit Testing","Integration Testing","Functional Automation",{"sdlc":74,"data analysis":74,"cloud computing":74,"data engineering":74,"data architecture":74,"devops automation":74,"data pipeline development":74,"financial\u002Finsurance industry knowledge":29},[177,610,40,374,611,612,613,614],"Data Pipeline Development","SDLC","DevOps Automation","Cloud Computing","Financial\u002FInsurance Industry Knowledge",0.5,{"industry":617,"employment_type":701,"expertise_skills":716,"it_skills":794,"salary_currency":873,"processed_working_hours":950},[618,622,626,630,634,638,642,646,649,653,657,661,665,667,670,674,677,680,683,686,689,692,695,698],{"key":619,"label":620,"count":621},"financial services","Financial Services",822,{"key":623,"label":624,"count":625},"insurance","Insurance",472,{"key":627,"label":628,"count":629},"banking","Banking",449,{"key":631,"label":632,"count":633},"financial markets infrastructure","Financial Markets Infrastructure",152,{"key":635,"label":636,"count":637},"asset management","Asset Management",88,{"key":639,"label":640,"count":641},"data provider","Data Provider",80,{"key":643,"label":644,"count":645},"data","Data",73,{"key":647,"label":350,"count":648},"financial technology",29,{"key":650,"label":651,"count":652},"wealth management","Wealth Management",21,{"key":654,"label":655,"count":656},"reinsurance","Reinsurance",15,{"key":658,"label":659,"count":660},"alternative investments","Alternative Investments",12,{"key":662,"label":663,"count":664},"digital banking","Digital Banking",8,{"key":666,"label":315,"count":664},"risk management",{"key":668,"label":669,"count":664},"fleet management","Fleet Management",{"key":671,"label":672,"count":673},"vehicle leasing","Vehicle Leasing",5,{"key":675,"label":676,"count":74},"claims management","Claims Management",{"key":678,"label":679,"count":30},"property","Property",{"key":681,"label":682,"count":30},"casualty insurance","Casualty Insurance",{"key":684,"label":685,"count":30},"automotive","Automotive",{"key":687,"label":688,"count":30},"alternative asset management","Alternative Asset Management",{"key":690,"label":691,"count":30},"financial market infrastructure","Financial Market Infrastructure",{"key":693,"label":694,"count":30},"life","Life",{"key":696,"label":697,"count":29},"fund administration","Fund Administration",{"key":699,"label":700,"count":29},"middle office","Middle Office",[702,705,708,712],{"key":27,"label":703,"count":704},"PERMANENT",1613,{"key":479,"label":706,"count":707},"STUDENT",82,{"key":709,"label":710,"count":711},"temporary","TEMPORARY",26,{"key":713,"label":714,"count":715},"contract","CONTRACT",19,[717,720,723,726,729,732,735,738,741,744,747,750,753,756,759,762,766,769,772,776,780,783,786,790],{"key":718,"label":40,"slug":718,"count":719},"data-analysis",387,{"key":721,"label":315,"slug":721,"count":722},"risk-management",304,{"key":724,"label":314,"slug":724,"count":725},"data-governance",264,{"key":727,"label":241,"slug":727,"count":728},"project-management",234,{"key":730,"label":357,"slug":730,"count":731},"regulatory-compliance",198,{"key":733,"label":417,"slug":733,"count":734},"process-improvement",169,{"key":736,"label":343,"slug":736,"count":737},"agile-methodologies",155,{"key":739,"label":393,"slug":739,"count":740},"data-modeling",153,{"key":742,"label":177,"slug":742,"count":743},"data-engineering",144,{"key":745,"label":231,"slug":745,"count":746},"machine-learning",142,{"key":748,"label":126,"slug":748,"count":749},"data-visualization",128,{"key":751,"label":345,"slug":751,"count":752},"business-analysis",122,{"key":754,"label":497,"slug":754,"count":755},"automation",121,{"key":757,"label":79,"slug":757,"count":758},"root-cause-analysis",116,{"key":760,"label":373,"slug":760,"count":761},"data-analytics",115,{"key":763,"label":764,"slug":763,"count":765},"incident-management","Incident Management",109,{"key":767,"label":399,"slug":767,"count":768},"data-quality",105,{"key":770,"label":125,"slug":770,"count":771},"business-intelligence",99,{"key":773,"label":774,"slug":773,"count":775},"stakeholder-management","Stakeholder Management",98,{"key":777,"label":778,"slug":777,"count":779},"change-management","Change Management",96,{"key":781,"label":43,"slug":781,"count":782},"regulatory-reporting",87,{"key":784,"label":785,"slug":784,"count":782},"data-management","Data Management",{"key":787,"label":788,"slug":787,"count":789},"compliance","Compliance",86,{"key":791,"label":792,"slug":791,"count":793},"reporting","Reporting",85,[795,797,800,803,807,810,814,818,821,824,828,831,834,838,841,845,848,851,854,857,859,863,867,870],{"key":796,"label":34,"slug":796,"count":5},"sql",{"key":798,"label":33,"slug":798,"count":799},"python",1141,{"key":801,"label":591,"slug":801,"count":802},"ms-excel",453,{"key":804,"label":805,"slug":804,"count":806},"ms-powerbi","MS PowerBI",369,{"key":808,"label":63,"slug":808,"count":809},"java",290,{"key":811,"label":812,"slug":811,"count":813},"aws","Aws",261,{"key":815,"label":816,"slug":815,"count":817},"cicd","Ci\u002FCd",231,{"key":819,"label":168,"slug":819,"count":820},"git",211,{"key":822,"label":518,"slug":822,"count":823},"r",200,{"key":825,"label":826,"slug":825,"count":827},"ms-azure","MS Azure",195,{"key":829,"label":103,"slug":829,"count":830},"tableau",183,{"key":832,"label":66,"slug":832,"count":833},"kubernetes",173,{"key":835,"label":836,"slug":835,"count":837},"docker","Docker",160,{"key":839,"label":336,"slug":839,"count":840},"snowflake",154,{"key":842,"label":843,"slug":842,"count":844},"sas","Sas",146,{"key":846,"label":224,"slug":846,"count":847},"databricks",114,{"key":849,"label":35,"slug":849,"count":850},"jira",113,{"key":852,"label":585,"slug":852,"count":853},"kafka",111,{"key":855,"label":856,"slug":855,"count":853},"javascript","Javascript",{"key":745,"label":231,"slug":745,"count":858},108,{"key":860,"label":861,"slug":860,"count":862},"vba","Vba",106,{"key":864,"label":865,"slug":864,"count":866},"oracle","Oracle",100,{"key":868,"label":869,"slug":868,"count":771},"jenkins","Jenkins",{"key":871,"label":872,"slug":871,"count":779},"terraform","Terraform",[874,876,878,880,882,884,886,888,890,893,895,897,900,903,905,907,910,912,914,917,919,921,923,925,927,929,931,933,935,937,939,941,943,945,946,948],{"key":59,"label":59,"count":875},602,{"key":216,"label":216,"count":877},275,{"key":299,"label":299,"count":879},181,{"key":881,"label":881,"count":740},"CAD",{"key":454,"label":454,"count":883},118,{"key":251,"label":251,"count":885},104,{"key":887,"label":887,"count":645},"MYR",{"key":23,"label":23,"count":889},71,{"key":891,"label":891,"count":892},"PLN",34,{"key":894,"label":894,"count":711},"HKD",{"key":896,"label":896,"count":711},"CHF",{"key":898,"label":898,"count":899},"MXN",16,{"key":901,"label":901,"count":902},"AUD",11,{"key":904,"label":904,"count":902},"VND",{"key":906,"label":906,"count":664},"TRY",{"key":908,"label":908,"count":909},"PEN",7,{"key":911,"label":911,"count":909},"JPY",{"key":913,"label":913,"count":909},"CNY",{"key":915,"label":915,"count":916},"COP",6,{"key":918,"label":918,"count":916},"BRL",{"key":920,"label":920,"count":916},"THB",{"key":922,"label":922,"count":74},"LKR",{"key":924,"label":924,"count":30},"CZK",{"key":926,"label":926,"count":30},"HUF",{"key":928,"label":928,"count":30},"ZAR",{"key":930,"label":930,"count":30},"TWD",{"key":932,"label":932,"count":29},"RON",{"key":934,"label":934,"count":29},"EGP",{"key":936,"label":936,"count":29},"IDR",{"key":938,"label":938,"count":44},"BMD",{"key":940,"label":940,"count":44},"VES",{"key":942,"label":942,"count":44},"MZN",{"key":944,"label":944,"count":44},"BGN",{"key":432,"label":432,"count":44},{"key":947,"label":947,"count":44},"NGN",{"key":949,"label":949,"count":44},"CLP",[951,953],{"key":26,"label":26,"count":952},1758,{"key":954,"label":954,"count":955},"PART_TIME",35,{"total":44,"jobs":957},[]]