[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-tableau-global":3,"job-search-\u002Fde\u002Fjobs-by-skill\u002Ftableau?page=17":4,"skill-page-filters-\u002Fde\u002Fjobs-by-skill\u002Ftableau?page=17":583,"featured-jobs-\u002Fde\u002Fjobs-by-skill\u002Ftableau?page=17":853},{},{"total":5,"jobs":6},344,[7,77,115,139,171,205,232,256,287,311,339,367,395,415,432,466,497,517,537,555],{"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":32,"processed_job_expertise_skills":59,"processed_job_expertise_skills_labels":60,"max_cpc":76,"actual_cpc":76},75903,"data-engineer-mufg-global-service-private-limited","Data Engineer",null,false,{"name":14,"slug":15,"logo_url":11},"MUFG Global Service Private Limited","mufg-global-service-private-limited",[17],"Bengaluru",[19],"IN","onsite",1500000,2500000,"INR","estimated",[26],"FULL_TIME","permanent",{"etl":29,"ios":30,"rds":31,"sql":29,"sso":31,"jira":31,"saml":31,"linux":31,"spark":29,"cognos":31,"python":29,"splunk":31,"android":30,"aws dms":29,"tableau":31,"aws glue":29,"redshift":31,"amazon s3":29,"postgresql":29,"sql server":31,"data masking":31,"tokenization":31,"github copilot":31,"data encryption":31,"amazon quicksight":29,"aws transfer family":29},4,2,3,[33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58],"AWS Glue","Python","Spark","PostgreSQL","Amazon S3","AWS DMS","AWS Transfer Family","Amazon QuickSight","ETL","SQL","Linux","RDS","Redshift","SQL Server","Cognos","Tableau","GitHub Copilot","Jira","Splunk","SAML","SSO","Data Encryption","Data Masking","Tokenization","Android","iOS",{"kanban":29,"agile scrum":29,"data quality":29,"data modeling":29,"data security":29,"maker-checker":31,"bi development":29,"cloud migration":31,"database design":29,"data visualization":29,"performance tuning":29,"segregation of duties":31,"digital transformation":29,"user security concepts":31,"architecture frameworks":29},[61,62,63,64,65,66,67,68,69,70,71,72,73,74,75],"Database Design","Performance Tuning","Data Modeling","BI Development","Data Security","Data Quality","Data Visualization","Digital Transformation","Architecture Frameworks","Cloud Migration","Agile Scrum","Kanban","User Security Concepts","Segregation of Duties","Maker-Checker",1,{"id":78,"slug":79,"title":80,"raw_title":11,"is_featured":12,"company":81,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":84,"processed_country_iso_code_gmaps":86,"processed_home_office":88,"processed_salary_min":89,"processed_salary_max":90,"processed_salary_currency":91,"processed_salary_source":24,"processed_working_hours":92,"processed_employment_types":27,"processed_it_skills":93,"processed_it_skills_labels":94,"processed_job_expertise_skills":101,"processed_job_expertise_skills_labels":102,"max_cpc":76,"actual_cpc":76},47512,"senior-principal-solutions-architect-data-platform-group-services-inc","Senior Principal Solutions Architect, Data Platform",{"name":82,"slug":83,"logo_url":11},"Invesco Group Services, INC.","invesco-group-services-inc",[85],"Houston",[87],"US","hybrid",150000,200000,"USD",[26],{"aws":29,"azure":31,"python":31,"tableau":31,"power bi":31,"snowflake":31,"terraform":31,"powershell":31,"sql server":31},[95,96,46,97,98,48,99,34,100],"AWS","Azure","Snowflake","Power BI","Terraform","PowerShell",{"sdlc":31,"compliance":31,"data quality":29,"ai governance":29,"data governance":29,"risk management":31,"solution design":29,"vendor management":31,"data observability":29,"project management":31,"agile methodologies":31,"metadata management":29,"enterprise architecture":29},[103,104,105,66,106,107,108,109,110,111,112,113,114],"Enterprise Architecture","Solution Design","Data Governance","Data Observability","Metadata Management","AI Governance","Risk Management","Compliance","Vendor Management","Project Management","Agile Methodologies","SDLC",{"id":116,"slug":117,"title":118,"raw_title":11,"is_featured":12,"company":119,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":122,"processed_country_iso_code_gmaps":124,"processed_home_office":20,"processed_salary_min":126,"processed_salary_max":126,"processed_salary_currency":127,"processed_salary_source":24,"processed_working_hours":128,"processed_employment_types":129,"processed_it_skills":130,"processed_it_skills_labels":131,"processed_job_expertise_skills":133,"processed_job_expertise_skills_labels":134,"max_cpc":76,"actual_cpc":76},63618,"business-intelligence-intern-ytl-digital-bank-berhad-registration-no-202201037182-1482879-p","Business Intelligence Intern",{"name":120,"slug":121,"logo_url":11},"YTL Digital Bank Berhad (Registration No. 202201037182 (1482879-P))","ytl-digital-bank-berhad-registration-no-202201037182-1482879-p",[123],"Kuala Lumpur",[125],"MY",0,"MYR",[26],"student",{"dbt":30,"sql":31,"python":30,"tableau":30,"power bi":30,"snowflake":30},[42,34,48,98,132,97],"dbt",{"data mapping":30,"documentation":30,"business analysis":30,"quality assurance":30,"data visualization":30},[67,135,136,137,138],"Business Analysis","Data Mapping","Documentation","Quality Assurance",{"id":140,"slug":141,"title":142,"raw_title":11,"is_featured":12,"company":143,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":146,"processed_country_iso_code_gmaps":148,"processed_home_office":88,"processed_salary_min":150,"processed_salary_max":151,"processed_salary_currency":152,"processed_salary_source":24,"processed_working_hours":153,"processed_employment_types":27,"processed_it_skills":154,"processed_it_skills_labels":155,"processed_job_expertise_skills":157,"processed_job_expertise_skills_labels":158,"max_cpc":76,"actual_cpc":76},71830,"mi-bi-analyst-f063-db-global-technology-srl","MI \u002F BI Analyst",{"name":144,"slug":145,"logo_url":11},"F063 DB Global Technology SRL","f063-db-global-technology-srl",[147],"București",[149],"RO",30000,50000,"EUR",[26],{"sql":29,"tableau":31,"bi tools":31},[42,48,156],"BI tools",{"banking":31,"reporting":29,"statistics":31,"data handling":31,"kpi definition":31,"financial services":31,"management reporting":31,"dashboard development":31,"regulated environments":31,"business intelligence (bi)":29,"management information (mi)":29,"kpi-driven steering processes":31},[159,160,161,162,163,164,165,166,167,168,169,170],"Business Intelligence (BI)","Management Information (MI)","Reporting","Statistics","Data handling","Dashboard development","KPI definition","Banking","Financial services","Regulated environments","Management reporting","KPI-driven steering processes",{"id":172,"slug":173,"title":174,"raw_title":11,"is_featured":12,"company":175,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":178,"processed_country_iso_code_gmaps":180,"processed_home_office":20,"processed_salary_min":181,"processed_salary_max":182,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":183,"processed_employment_types":27,"processed_it_skills":184,"processed_it_skills_labels":185,"processed_job_expertise_skills":188,"processed_job_expertise_skills_labels":189,"max_cpc":76,"actual_cpc":76},72033,"margin-and-treasury-operation-avp-f336-deutsche-india-private-limited-jaipur-branch","Margin and Treasury Operation, AVP",{"name":176,"slug":177,"logo_url":11},"F336 Deutsche India Private Limited, Jaipur Branch","f336-deutsche-india-private-limited-jaipur-branch",[179],"Jaipur",[19],3000000,5000000,[26],{"alteryx":30,"tableau":30,"microsoft excel":31},[186,48,187],"Microsoft Excel","Alteryx",{"settlements":29,"kpi monitoring":31,"kri monitoring":31,"reconciliations":29,"risk management":29,"trade life cycle":29,"margin operations":29,"project management":29,"data interpretation":31,"treasury operations":29,"collateral management":29,"derivatives knowledge":29,"operations management":29,"regulatory compliance":29,"process re-engineering":29,"uncleared margin rules":29,"global initiative leadership":31},[190,191,192,193,194,195,196,197,198,112,109,199,200,201,202,203,204],"Collateral Management","Margin Operations","Treasury Operations","Derivatives Knowledge","Trade Life Cycle","UnCleared Margin Rules","Reconciliations","Settlements","Operations Management","Regulatory Compliance","Process Re-engineering","KPI Monitoring","KRI Monitoring","Data Interpretation","Global Initiative Leadership",{"id":206,"slug":207,"title":208,"raw_title":11,"is_featured":12,"company":209,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":212,"processed_country_iso_code_gmaps":214,"processed_home_office":20,"processed_salary_min":89,"processed_salary_max":215,"processed_salary_currency":91,"processed_salary_source":24,"processed_working_hours":216,"processed_employment_types":27,"processed_it_skills":217,"processed_it_skills_labels":218,"processed_job_expertise_skills":223,"processed_job_expertise_skills_labels":224,"max_cpc":76,"actual_cpc":76},65309,"global-head-of-claims-data-amp-analytics-starr-adjustment-services-inc","Global Head of Claims Data & Analytics",{"name":210,"slug":211,"logo_url":11},"Starr Adjustment Services, Inc.","starr-adjustment-services-inc",[213],"New York",[87],250000,[26],{"tableau":29,"power bi":29,"data governance":29,"machine learning":29,"big data platforms":29,"predictive modeling":29,"statistical modeling":29},[98,48,219,220,221,105,222],"Big Data Platforms","Machine Learning","Predictive Modeling","Statistical Modeling",{"data strategy":29,"data governance":29,"fraud detection":29,"risk management":29,"claims management":29,"casualty insurance":29,"property insurance":29,"business intelligence":29,"regulatory compliance":29,"operational efficiency":29},[225,226,105,199,227,228,229,230,231,109],"Claims Management","Data Strategy","Business Intelligence","Operational Efficiency","Fraud Detection","Casualty Insurance","Property Insurance",{"id":233,"slug":234,"title":235,"raw_title":11,"is_featured":12,"company":236,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":239,"processed_country_iso_code_gmaps":241,"processed_home_office":88,"processed_salary_min":242,"processed_salary_max":243,"processed_salary_currency":91,"processed_salary_source":24,"processed_working_hours":244,"processed_employment_types":27,"processed_it_skills":245,"processed_it_skills_labels":246,"processed_job_expertise_skills":248,"processed_job_expertise_skills_labels":249,"max_cpc":76,"actual_cpc":76},60733,"lead-pricing-analyst-retail-banking-deposit-products-pricing-strategy-profitability-and-growth-hybrid-001-manufacturers-and-traders-trust-co","Lead Pricing Analyst (Retail Banking Deposit Products: Pricing Strategy, Profitability, and Growth) - Hybrid",{"name":237,"slug":238,"logo_url":11},"Manufacturers and Traders Trust Co","manufacturers-and-traders-trust-co",[240],"Buffalo",[87],74600,124400,[26],{"sql":29,"excel":29,"tableau":31,"power bi":31},[42,48,98,247],"Excel",{"forecasting":29,"risk support":31,"data analysis":29,"pricing strategy":29,"scenario testing":29,"project management":31,"decision frameworks":29},[250,251,252,253,254,112,255],"Pricing Strategy","Forecasting","Data Analysis","Scenario Testing","Decision Frameworks","Risk Support",{"id":257,"slug":258,"title":259,"raw_title":11,"is_featured":12,"company":260,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":263,"processed_country_iso_code_gmaps":264,"processed_home_office":88,"processed_salary_min":265,"processed_salary_max":266,"processed_salary_currency":91,"processed_salary_source":24,"processed_working_hours":267,"processed_employment_types":27,"processed_it_skills":268,"processed_it_skills_labels":269,"processed_job_expertise_skills":275,"processed_job_expertise_skills_labels":276,"max_cpc":76,"actual_cpc":76},59903,"customer-success-manager-pricing-and-reference-services-usa016-refinitiv-us-llc","Customer Success Manager Pricing and Reference Services",{"name":261,"slug":262,"logo_url":11},"Refinitiv US LLC","refinitiv-us-llc",[213],[87],116200,193800,[26],{"sql":30,"apis":30,"json":30,"python":30,"tableau":30,"gainsight":30,"salesforce":30,"cloud (aws, gcp, azure)":30},[34,42,270,271,272,273,274,48],"JSON","APIs","Cloud (AWS, GCP, Azure)","Salesforce","Gainsight",{"saas":31,"data solutions":31,"financial data":31,"lead generation":31,"risk mitigation":31,"business reviews":31,"product knowledge":31,"financial services":31,"technology solutions":31,"customer success management":29},[277,278,279,280,281,282,283,284,285,286],"Customer Success Management","SaaS","Financial Services","Financial Data","Data Solutions","Technology Solutions","Business Reviews","Lead Generation","Risk Mitigation","Product Knowledge",{"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":20,"processed_salary_min":297,"processed_salary_max":298,"processed_salary_currency":91,"processed_salary_source":24,"processed_working_hours":299,"processed_employment_types":27,"processed_it_skills":300,"processed_it_skills_labels":301,"processed_job_expertise_skills":306,"processed_job_expertise_skills_labels":307,"max_cpc":76,"actual_cpc":76},58561,"python-engineer-manager-kemper","Python Engineer Manager",{"name":292,"slug":293,"logo_url":11},"Kemper","kemper",[295],"Alpharetta",[87],99000,164800,[26],{"aws":31,"sas":30,"azure":31,"python":29,"tableau":31,"power bi":31,"google cloud":31,"amazon sagemaker":30,"test-driven development":30},[34,302,95,96,303,48,98,304,305],"SAS","Google Cloud","Amazon SageMaker","Test-driven development",{"data analysis":29,"cloud computing":31,"data governance":31,"data engineering":29,"actuarial science":31,"data visualization":31,"project management":31},[308,252,309,105,67,310,112],"Data Engineering","Actuarial Science","Cloud Computing",{"id":312,"slug":313,"title":314,"raw_title":11,"is_featured":12,"company":315,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":318,"processed_country_iso_code_gmaps":319,"processed_home_office":20,"processed_salary_min":321,"processed_salary_max":322,"processed_salary_currency":323,"processed_salary_source":24,"processed_working_hours":324,"processed_employment_types":129,"processed_it_skills":325,"processed_it_skills_labels":326,"processed_job_expertise_skills":329,"processed_job_expertise_skills_labels":330,"max_cpc":76,"actual_cpc":76},62404,"internship-global-markets-asset-liability-management-central-liability-unit-jul-to-dec-2026-ocbc-bank","Internship: Global Markets, Asset Liability Management, Central Liability Unit [Jul to Dec 2026]",{"name":316,"slug":317,"logo_url":11},"OCBC Bank","ocbc-bank",[],[320],"SG",1000,2000,"SGD",[26],{"vba":31,"python":31,"powerbi":31,"tableau":31,"microsoft excel":29},[34,327,186,48,328],"VBA","PowerBI",{"automation":31,"p&l analysis":30,"data visualization":31,"economic principles":31,"financial modelling":31,"liquidity management":30,"cashflow risk assessment":30,"balance sheet optimization":30,"financial markets knowledge":31},[331,332,333,67,334,335,336,337,338],"Financial Markets Knowledge","Financial Modelling","Economic Principles","Automation","Liquidity Management","Balance Sheet Optimization","P&L Analysis","Cashflow Risk Assessment",{"id":340,"slug":341,"title":342,"raw_title":11,"is_featured":12,"company":343,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":346,"processed_country_iso_code_gmaps":348,"processed_home_office":20,"processed_salary_min":126,"processed_salary_max":126,"processed_salary_currency":350,"processed_salary_source":24,"processed_working_hours":351,"processed_employment_types":27,"processed_it_skills":352,"processed_it_skills_labels":353,"processed_job_expertise_skills":358,"processed_job_expertise_skills_labels":359,"max_cpc":76,"actual_cpc":76},52202,"mgr-it-internal-audit-uob-vietnam","MGR, IT Internal Audit",{"name":344,"slug":345,"logo_url":11},"UOB Vietnam","uob-vietnam",[347],"Ho",[349],"VN","VND",[26],{"r":29,"sas":29,"sql":29,"python":29,"tableau":29,"qlik sense":29,"data analytics":29,"machine learning":29,"data visualization":29,"database management":29},[42,34,354,302,48,355,220,67,356,357],"R","Qlik Sense","Data Analytics","Database Management",{"it audit":29,"it processes":29,"data analysis":29,"audit planning":29,"cyber security":29,"risk management":29,"internal controls":29,"application controls":29,"regulatory compliance":29,"technology infrastructure security":29},[360,361,362,363,364,109,365,252,366,199],"IT Audit","Technology Infrastructure Security","Application Controls","IT Processes","Cyber Security","Internal Controls","Audit Planning",{"id":368,"slug":369,"title":370,"raw_title":11,"is_featured":12,"company":371,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":374,"processed_country_iso_code_gmaps":375,"processed_home_office":20,"processed_salary_min":151,"processed_salary_max":376,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":377,"processed_employment_types":27,"processed_it_skills":378,"processed_it_skills_labels":379,"processed_job_expertise_skills":384,"processed_job_expertise_skills_labels":385,"max_cpc":76,"actual_cpc":76},62786,"product-owner-cx-and-mobile-app-insurance-ptsi-prudential-technology-and-services-india-private-limited","Product Owner- (CX and Mobile app - Insurance)",{"name":372,"slug":373,"logo_url":11},"Prudential Technology and Services India Private Limited","prudential-technology-and-services-india-private-limited",[],[19],80000,[26],{"sql":31,"jira":31,"figma":31,"powerbi":31,"tableau":31,"mixpanel":31,"confluence":31,"google analytics":31},[42,50,380,381,382,383,48,328],"Confluence","Figma","Google Analytics","Mixpanel",{"data analytics":29,"life insurance":29,"process mapping":29,"health insurance":29,"uat coordination":29,"product ownership":29,"release management":29,"user story authoring":29,"mobile app development":29,"business case development":29},[386,387,388,389,390,356,391,392,393,394],"Product Ownership","Mobile App Development","Life Insurance","Health Insurance","Business Case Development","Process Mapping","User Story Authoring","Release Management","UAT Coordination",{"id":396,"slug":397,"title":398,"raw_title":11,"is_featured":12,"company":399,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":400,"processed_country_iso_code_gmaps":401,"processed_home_office":20,"processed_salary_min":402,"processed_salary_max":403,"processed_salary_currency":127,"processed_salary_source":24,"processed_working_hours":404,"processed_employment_types":27,"processed_it_skills":405,"processed_it_skills_labels":406,"processed_job_expertise_skills":409,"processed_job_expertise_skills_labels":410,"max_cpc":76,"actual_cpc":76},63660,"senior-business-intelligence-analyst-ytl-digital-bank-berhad-registration-no-202201037182-1482879-p","Senior Business Intelligence Analyst",{"name":120,"slug":121,"logo_url":11},[123],[125],90000,130000,[26],{"dbt":29,"sql":29,"python":29,"airflow":29,"tableau":29,"power bi":29,"cloud data warehouses":29},[42,34,132,407,408,48,98],"Airflow","Cloud Data Warehouses",{"team management":31,"data visualization":29,"analytical modeling":29,"regulatory compliance":29,"banking domain expertise":29,"financial products knowledge":29},[411,412,199,413,67,414],"Banking Domain Expertise","Financial Products Knowledge","Analytical Modeling","Team Management",{"id":416,"slug":417,"title":418,"raw_title":11,"is_featured":12,"company":419,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":422,"processed_country_iso_code_gmaps":423,"processed_home_office":88,"processed_salary_min":297,"processed_salary_max":298,"processed_salary_currency":91,"processed_salary_source":24,"processed_working_hours":424,"processed_employment_types":27,"processed_it_skills":425,"processed_it_skills_labels":426,"processed_job_expertise_skills":427,"processed_job_expertise_skills_labels":428,"max_cpc":76,"actual_cpc":76},58477,"python-engineer-manager-actuarial-merastar-insurance-company","Python Engineer Manager (Actuarial)",{"name":420,"slug":421,"logo_url":11},"Merastar Insurance Company","merastar-insurance-company",[295],[87],[26],{"aws":31,"sas":30,"azure":31,"python":29,"tableau":31,"power bi":31,"google cloud":31,"amazon sagemaker":30},[34,302,95,96,303,48,98,304],{"data analysis":29,"data ingestion":31,"cloud computing":31,"data governance":31,"data engineering":29,"pricing strategy":29,"actuarial science":29,"data manipulation":31,"data visualization":31,"project management":31,"regulatory compliance":31,"test-driven development":30},[308,252,309,105,67,310,429,430,431,250,199,112],"Test-driven Development","Data Manipulation","Data Ingestion",{"id":433,"slug":434,"title":435,"raw_title":11,"is_featured":12,"company":436,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":439,"processed_country_iso_code_gmaps":441,"processed_home_office":88,"processed_salary_min":443,"processed_salary_max":402,"processed_salary_currency":444,"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":451,"processed_job_expertise_skills_labels":452,"max_cpc":76,"actual_cpc":76},72159,"tdi-business-functional-analyst-avp-9019-deutsche-knowledge-services-pte-ltd-manila-branch","TDI - Business Functional Analyst - AVP",{"name":437,"slug":438,"logo_url":11},"9019 Deutsche Knowledge Services Pte. Ltd., Manila Branch","9019-deutsche-knowledge-services-pte-ltd-manila-branch",[440],"Manila",[442],"PH",60000,"PHP",[26],{"sql":30,"ai\u002Fml":30,"axiom":30,"python":30,"tableau":30,"sap business objects":30},[42,34,48,448,449,450],"SAP Business Objects","Axiom","AI\u002FML",{"testing":31,"it delivery":31,"mi reporting":29,"data analysis":29,"data modelling":29,"risk management":31,"agile methodology":31,"change management":31,"quality assurance":31,"project management":31,"financial reporting":29,"regulatory reporting":29,"architecture knowledge":31,"requirement definition":31,"user experience design":31,"business process modelling":29,"business functional analysis":29},[453,454,455,456,252,457,458,459,112,109,460,461,462,463,464,465,138],"Business Functional Analysis","Financial Reporting","Regulatory Reporting","MI Reporting","Data Modelling","Business Process Modelling","Agile Methodology","IT Delivery","Architecture Knowledge","Testing","Requirement Definition","User Experience Design","Change Management",{"id":467,"slug":468,"title":469,"raw_title":11,"is_featured":12,"company":470,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":473,"processed_country_iso_code_gmaps":475,"processed_home_office":20,"processed_salary_min":402,"processed_salary_max":89,"processed_salary_currency":323,"processed_salary_source":24,"processed_working_hours":476,"processed_employment_types":27,"processed_it_skills":477,"processed_it_skills_labels":478,"processed_job_expertise_skills":488,"processed_job_expertise_skills_labels":489,"max_cpc":76,"actual_cpc":76},51957,"avp-data-engineer-uob-asset-management-business-technology-uob-asset-management-ltd","AVP, Data Engineer, UOB Asset Management Business Technology",{"name":471,"slug":472,"logo_url":11},"UOB Asset Management Ltd","uob-asset-management-ltd",[474],"Central Region (City Area)",[320],[26],{"aws":31,"c++":30,"gcp":31,"git":31,"sql":29,"java":30,"ci\u002Fcd":31,"kafka":31,"scala":30,"looker":31,"python":29,"tableau":31,"bigquery":31,"power bi":31},[34,42,98,48,479,95,480,481,482,483,484,485,486,487],"Looker","GCP","BigQuery","Kafka","Git","CI\u002FCD","Java","Scala","C++",{"mlops":31,"dataops":31,"etl\u002Felt":29,"data lineage":31,"data quality":29,"data cataloging":31,"data governance":31,"data engineering":29,"data warehousing":29,"business intelligence":29,"regulatory compliance":31,"machine learning engineering":31},[308,227,490,105,491,492,66,493,494,495,496,199],"Machine Learning Engineering","Data Warehousing","ETL\u002FELT","Data Cataloging","Data Lineage","DataOps","MLOps",{"id":498,"slug":499,"title":500,"raw_title":11,"is_featured":12,"company":501,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":504,"processed_country_iso_code_gmaps":506,"processed_home_office":20,"processed_salary_min":181,"processed_salary_max":182,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":507,"processed_employment_types":27,"processed_it_skills":508,"processed_it_skills_labels":509,"processed_job_expertise_skills":513,"processed_job_expertise_skills_labels":514,"max_cpc":76,"actual_cpc":76},71735,"operations-expert-vp-f335-deutsche-india-private-limited-bangalore-branch","Operations Expert, VP",{"name":502,"slug":503,"logo_url":11},"F335 Deutsche India Private Limited, Bangalore Branch","f335-deutsche-india-private-limited-bangalore-branch",[505],"Bangalore",[19],[26],{"alteryx":31,"tableau":31,"ai tools":30,"acadiasoft":29,"triresolve":29},[510,511,48,187,512],"TriResolve","Acadiasoft","AI tools",{"derivatives":29,"settlements":29,"kpi monitoring":29,"kri monitoring":29,"reconciliations":29,"risk management":29,"audit management":29,"trade life cycle":29,"margin operations":29,"project management":29,"regulatory compliance":29,"process re-engineering":29,"uncleared margin rules":29},[191,515,194,195,196,197,109,200,112,201,202,516,199],"Derivatives","Audit Management",{"id":518,"slug":519,"title":520,"raw_title":11,"is_featured":12,"company":521,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":524,"processed_country_iso_code_gmaps":525,"processed_home_office":20,"processed_salary_min":526,"processed_salary_max":527,"processed_salary_currency":91,"processed_salary_source":24,"processed_working_hours":528,"processed_employment_types":27,"processed_it_skills":529,"processed_it_skills_labels":530,"processed_job_expertise_skills":531,"processed_job_expertise_skills_labels":532,"max_cpc":76,"actual_cpc":76},59735,"data-scientist-ind200-refinitiv-india-private-limited","Data Scientist",{"name":522,"slug":523,"logo_url":11},"Refinitiv India Private Limited","refinitiv-india-private-limited",[17],[19],70000,100000,[26],{"sql":31,"python":31,"tableau":31},[34,42,48],{"data science":31,"pricing strategy":31,"advanced analytics":31,"data visualization":31,"forecasting models":31,"commercial strategy":31,"financial markets knowledge":30},[67,533,534,535,250,536,331],"Forecasting Models","Data Science","Advanced Analytics","Commercial Strategy",{"id":538,"slug":539,"title":540,"raw_title":11,"is_featured":12,"company":541,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":544,"processed_country_iso_code_gmaps":545,"processed_home_office":20,"processed_salary_min":443,"processed_salary_max":402,"processed_salary_currency":127,"processed_salary_source":24,"processed_working_hours":546,"processed_employment_types":27,"processed_it_skills":547,"processed_it_skills_labels":548,"processed_job_expertise_skills":549,"processed_job_expertise_skills_labels":550,"max_cpc":76,"actual_cpc":76},62951,"manager-data-analyst-psa-prudential-services-asia-sdn-bhd-malaysia","Manager, Data Analyst",{"name":542,"slug":543,"logo_url":11},"Prudential Services Asia Sdn Bhd (Malaysia)","prudential-services-asia-sdn-bhd-malaysia",[123],[125],[26],{"sql":29,"python":29,"tableau":29,"power bi":29},[34,42,98,48],{"data cleaning":29,"risk assurance":31,"machine learning":29,"data visualization":29,"statistical analysis":29,"internal audit support":31},[220,551,67,552,553,554],"Statistical Analysis","Data Cleaning","Risk Assurance","Internal Audit Support",{"id":556,"slug":557,"title":558,"raw_title":11,"is_featured":12,"company":559,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":560,"processed_country_iso_code_gmaps":561,"processed_home_office":88,"processed_salary_min":562,"processed_salary_max":563,"processed_salary_currency":444,"processed_salary_source":24,"processed_working_hours":564,"processed_employment_types":27,"processed_it_skills":565,"processed_it_skills_labels":566,"processed_job_expertise_skills":569,"processed_job_expertise_skills_labels":570,"max_cpc":76,"actual_cpc":582},72166,"treasury-and-business-finance-financial-control-and-analysis-associate-9019-deutsche-knowledge-services-pte-ltd-manila-branch","Treasury and Business Finance – Financial Control and Analysis Associate",{"name":437,"slug":438,"logo_url":11},[440],[442],600000,900000,[26],{"python":30,"alteryx":30,"tableau":30,"visual basic":30,"visual basic for applications":30},[567,568,34,48,187],"Visual Basic for Applications","Visual Basic",{"ias":31,"us-gaap":31,"automation":31,"balance sheet":29,"general ledger":29,"reconciliation":29,"profit and loss":29,"hedge accounting":29,"financial control":29,"financial analysis":29,"financial products":31,"process improvement":29},[571,572,573,574,575,576,577,578,579,580,581,334],"Financial Control","Financial Analysis","Reconciliation","General Ledger","Balance Sheet","Profit and Loss","Hedge Accounting","US-GAAP","IAS","Financial Products","Process Improvement",0.5,{"industry":584,"employment_type":647,"expertise_skills":660,"it_skills":731,"salary_currency":808,"processed_working_hours":848},[585,588,591,595,599,603,607,611,614,617,620,623,626,629,632,635,638,641,644],{"key":586,"label":279,"count":587},"financial services",189,{"key":589,"label":166,"count":590},"banking",112,{"key":592,"label":593,"count":594},"insurance","Insurance",88,{"key":596,"label":597,"count":598},"asset management","Asset Management",21,{"key":600,"label":601,"count":602},"financial markets infrastructure","Financial Markets Infrastructure",9,{"key":604,"label":605,"count":606},"data","Data",7,{"key":608,"label":609,"count":610},"wealth management","Wealth Management",6,{"key":612,"label":613,"count":31},"financial technology","Financial Technology",{"key":615,"label":616,"count":30},"data provider","Data Provider",{"key":618,"label":619,"count":76},"alternative asset management","Alternative Asset Management",{"key":621,"label":622,"count":76},"online trading","Online Trading",{"key":624,"label":625,"count":76},"digital banking","Digital Banking",{"key":627,"label":628,"count":76},"employee benefits","Employee Benefits",{"key":630,"label":631,"count":76},"reinsurance","Reinsurance",{"key":633,"label":634,"count":76},"investment","Investment",{"key":636,"label":637,"count":76},"life","Life",{"key":639,"label":640,"count":76},"investments","Investments",{"key":642,"label":643,"count":76},"private banking","Private Banking",{"key":645,"label":646,"count":76},"alternative investments","Alternative Investments",[648,651,654,657],{"key":27,"label":649,"count":650},"PERMANENT",308,{"key":129,"label":652,"count":653},"STUDENT",24,{"key":655,"label":656,"count":606},"temporary","TEMPORARY",{"key":658,"label":659,"count":29},"contract","CONTRACT",[661,664,667,671,674,677,680,683,686,689,692,695,698,701,703,706,710,714,716,719,722,724,726,729],{"key":662,"label":252,"slug":662,"count":663},"data-analysis",99,{"key":665,"label":67,"slug":665,"count":666},"data-visualization",77,{"key":668,"label":669,"slug":668,"count":670},"project-management","Project management",71,{"key":672,"label":109,"slug":672,"count":673},"risk-management",64,{"key":675,"label":356,"slug":675,"count":676},"data-analytics",54,{"key":678,"label":199,"slug":678,"count":679},"regulatory-compliance",52,{"key":681,"label":105,"slug":681,"count":682},"data-governance",47,{"key":684,"label":227,"slug":684,"count":685},"business-intelligence",44,{"key":687,"label":581,"slug":687,"count":688},"process-improvement",43,{"key":690,"label":161,"slug":690,"count":691},"reporting",39,{"key":693,"label":110,"slug":693,"count":694},"compliance",36,{"key":696,"label":251,"slug":696,"count":697},"forecasting",34,{"key":699,"label":572,"slug":699,"count":700},"financial-analysis",32,{"key":702,"label":334,"slug":702,"count":700},"automation",{"key":704,"label":454,"slug":704,"count":705},"financial-reporting",29,{"key":707,"label":708,"slug":707,"count":709},"budgeting","Budgeting",27,{"key":711,"label":712,"slug":711,"count":713},"data-management","Data Management",25,{"key":715,"label":63,"slug":715,"count":713},"data-modeling",{"key":717,"label":718,"slug":717,"count":653},"stakeholder-management","Stakeholder Management",{"key":720,"label":111,"slug":720,"count":721},"vendor-management",22,{"key":723,"label":308,"slug":723,"count":598},"data-engineering",{"key":725,"label":220,"slug":725,"count":598},"machine-learning",{"key":727,"label":465,"slug":727,"count":728},"change-management",20,{"key":730,"label":135,"slug":730,"count":728},"business-analysis",[732,734,738,741,744,748,751,754,756,758,762,765,767,771,773,777,780,784,788,791,794,797,801,805],{"key":733,"label":48,"slug":733,"count":5},"tableau",{"key":735,"label":736,"slug":735,"count":737},"ms-powerbi","MS PowerBI",231,{"key":739,"label":42,"slug":739,"count":740},"sql",181,{"key":742,"label":34,"slug":742,"count":743},"python",171,{"key":745,"label":746,"slug":745,"count":747},"ms-excel","MS Excel",165,{"key":749,"label":750,"slug":749,"count":682},"ms-powerpoint","MS PowerPoint",{"key":752,"label":354,"slug":752,"count":753},"r",42,{"key":755,"label":187,"slug":755,"count":694},"alteryx",{"key":757,"label":97,"slug":757,"count":700},"snowflake",{"key":759,"label":760,"slug":759,"count":761},"aws","Aws",31,{"key":763,"label":764,"slug":763,"count":709},"vba","Vba",{"key":766,"label":50,"slug":766,"count":653},"jira",{"key":768,"label":769,"slug":768,"count":770},"sas","Sas",23,{"key":772,"label":485,"slug":772,"count":598},"java",{"key":774,"label":775,"slug":774,"count":776},"ms-azure","MS Azure",19,{"key":778,"label":779,"slug":778,"count":776},"oracle","Oracle",{"key":781,"label":782,"slug":781,"count":783},"ms-office","MS Office",18,{"key":785,"label":786,"slug":785,"count":787},"qlikview","Qlikview",17,{"key":789,"label":790,"slug":789,"count":787},"ai-tools","Ai Tools",{"key":792,"label":273,"slug":792,"count":793},"salesforce",16,{"key":795,"label":796,"slug":795,"count":793},"databricks","Databricks",{"key":798,"label":799,"slug":798,"count":800},"javascript","Javascript",14,{"key":802,"label":803,"slug":802,"count":804},"cicd","Ci\u002FCd",13,{"key":806,"label":807,"slug":806,"count":804},"etl","Etl",[809,811,812,814,815,816,817,818,820,823,825,827,829,831,833,835,837,838,840,842,844,846],{"key":91,"label":91,"count":810},149,{"key":23,"label":23,"count":691},{"key":813,"label":813,"count":694},"CAD",{"key":323,"label":323,"count":705},{"key":152,"label":152,"count":598},{"key":127,"label":127,"count":776},{"key":444,"label":444,"count":804},{"key":819,"label":819,"count":606},"GBP",{"key":821,"label":821,"count":822},"CHF",5,{"key":824,"label":824,"count":29},"HKD",{"key":826,"label":826,"count":29},"AUD",{"key":828,"label":828,"count":31},"IDR",{"key":830,"label":830,"count":30},"ZAR",{"key":832,"label":832,"count":30},"CNY",{"key":834,"label":834,"count":30},"HUF",{"key":836,"label":836,"count":30},"MXN",{"key":350,"label":350,"count":30},{"key":839,"label":839,"count":76},"TRY",{"key":841,"label":841,"count":76},"TWD",{"key":843,"label":843,"count":76},"LKR",{"key":845,"label":845,"count":76},"KRW",{"key":847,"label":847,"count":76},"THB",[849,851],{"key":26,"label":26,"count":850},342,{"key":852,"label":852,"count":822},"PART_TIME",{"total":76,"jobs":854},[]]