[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"expertise-filters-\u002Fde\u002Fjobs-by-expertise\u002Foperational-analytics":3,"seo-content-expertise-operational-analytics-global":182,"job-search-\u002Fde\u002Fjobs-by-expertise\u002Foperational-analytics":183,"featured-jobs-\u002Fde\u002Fjobs-by-expertise\u002Foperational-analytics":411},{"industry":4,"employment_type":20,"expertise_skills":25,"it_skills":98,"salary_currency":172,"processed_working_hours":179},[5,9,13,16],{"key":6,"label":7,"count":8},"insurance","Insurance",4,{"key":10,"label":11,"count":12},"financial markets infrastructure","Financial Markets Infrastructure",2,{"key":14,"label":15,"count":12},"data","Data",{"key":17,"label":18,"count":19},"financial services","Financial Services",1,[21],{"key":22,"label":23,"count":24},"permanent","PERMANENT",6,[26,29,32,35,38,41,44,47,50,53,56,59,62,65,68,71,74,77,80,83,86,89,92,95],{"key":27,"label":28,"slug":27,"count":24},"operational-analytics","Operational Analytics",{"key":30,"label":31,"slug":30,"count":12},"kpi-development","Kpi Development",{"key":33,"label":34,"slug":33,"count":12},"forecasting","Forecasting",{"key":36,"label":37,"slug":36,"count":12},"automation","Automation",{"key":39,"label":40,"slug":39,"count":12},"process-documentation","Process Documentation",{"key":42,"label":43,"slug":42,"count":12},"project-coordination","Project Coordination",{"key":45,"label":46,"slug":45,"count":19},"budget-planning","Budget Planning",{"key":48,"label":49,"slug":48,"count":19},"budgeting","Budgeting",{"key":51,"label":52,"slug":51,"count":19},"business-case-development","Business Case Development",{"key":54,"label":55,"slug":54,"count":19},"business-continuity","Business Continuity",{"key":57,"label":58,"slug":57,"count":19},"business-intelligence","Business Intelligence",{"key":60,"label":61,"slug":60,"count":19},"business-operations","Business Operations",{"key":63,"label":64,"slug":63,"count":19},"business-rules-engine","Business Rules Engine",{"key":66,"label":67,"slug":66,"count":19},"call-center-operations","Call Center Operations",{"key":69,"label":70,"slug":69,"count":19},"capacity-planning","Capacity Planning",{"key":72,"label":73,"slug":72,"count":19},"contact-center-operations","Contact Center Operations",{"key":75,"label":76,"slug":75,"count":19},"contract-alignment","Contract Alignment",{"key":78,"label":79,"slug":78,"count":19},"corrective-action-planning","Corrective Action Planning",{"key":81,"label":82,"slug":81,"count":19},"cost-analysis","Cost Analysis",{"key":84,"label":85,"slug":84,"count":19},"cost-management","Cost Management",{"key":87,"label":88,"slug":87,"count":19},"cross-functional-partnership","Cross-Functional Partnership",{"key":90,"label":91,"slug":90,"count":19},"customer-operations","Customer Operations",{"key":93,"label":94,"slug":93,"count":19},"customer-advisory","Customer advisory",{"key":96,"label":97,"slug":96,"count":19},"customer-service-operations","Customer Service Operations",[99,102,106,109,112,115,118,121,124,127,130,133,136,139,142,145,148,151,154,157,160,163,166,169],{"key":100,"label":101,"slug":100,"count":8},"sql","SQL",{"key":103,"label":104,"slug":103,"count":105},"python","Python",3,{"key":107,"label":108,"slug":107,"count":105},"ms-powerbi","MS PowerBI",{"key":110,"label":111,"slug":110,"count":12},"tableau","Tableau",{"key":113,"label":114,"slug":113,"count":12},"scikit-learn","Scikit-Learn",{"key":116,"label":117,"slug":116,"count":12},"power-automate","Power Automate",{"key":119,"label":120,"slug":119,"count":12},"ms-excel","MS Excel",{"key":122,"label":123,"slug":122,"count":19},"call-routing-systems","Call Routing Systems",{"key":125,"label":126,"slug":125,"count":19},"celonis","Celonis",{"key":128,"label":129,"slug":128,"count":19},"chat-systems","Chat Systems",{"key":131,"label":132,"slug":131,"count":19},"cloud-based-data-science-platforms","Cloud-Based Data Science Platforms",{"key":134,"label":135,"slug":134,"count":19},"cpq","Cpq",{"key":137,"label":138,"slug":137,"count":19},"customer-relationship-management-crm-systems","Customer Relationship Management (Crm) Systems",{"key":140,"label":141,"slug":140,"count":19},"data-analysis-tools","Data Analysis Tools",{"key":143,"label":144,"slug":143,"count":19},"data-visualization","Data Visualization",{"key":146,"label":147,"slug":146,"count":19},"digital-self-service-capabilities","Digital Self-Service Capabilities",{"key":149,"label":150,"slug":149,"count":19},"generative-ai","Generative Ai",{"key":152,"label":153,"slug":152,"count":19},"interactive-voice-response-ivr","Interactive Voice Response (Ivr)",{"key":155,"label":156,"slug":155,"count":19},"llms","Llms",{"key":158,"label":159,"slug":158,"count":19},"microsoft-office-suite","Microsoft Office Suite",{"key":161,"label":162,"slug":161,"count":19},"mlops","Mlops",{"key":164,"label":165,"slug":164,"count":19},"nice-workforce-management-and-quality-platforms","Nice Workforce Management And Quality Platforms",{"key":167,"label":168,"slug":167,"count":19},"numpy","Numpy",{"key":170,"label":171,"slug":170,"count":19},"oracle","Oracle",[173,175,177],{"key":174,"label":174,"count":8},"USD",{"key":176,"label":176,"count":19},"GBP",{"key":178,"label":178,"count":19},"INR",[180],{"key":181,"label":181,"count":24},"FULL_TIME",{},{"total":24,"jobs":184},[185,220,247,272,319,367],{"id":186,"slug":187,"title":188,"raw_title":189,"is_featured":190,"company":191,"raw_hiringOrganization_logo_url":189,"processed_city_gmaps":194,"processed_country_iso_code_gmaps":195,"processed_home_office":196,"processed_salary_min":197,"processed_salary_max":198,"processed_salary_currency":174,"processed_salary_source":199,"processed_working_hours":200,"processed_employment_types":22,"processed_it_skills":201,"processed_it_skills_labels":202,"processed_job_expertise_skills":207,"processed_job_expertise_skills_labels":208,"max_cpc":19,"actual_cpc":19},88157,"senior-consultant-performance-analytics-hartford-fire-ins-co","Senior Consultant Performance Analytics",null,false,{"name":192,"slug":193,"logo_url":189},"Hartford Fire Ins. Co","hartford-fire-ins-co",[],[],"hybrid",94000,141000,"estimated",[181],{"sql":8,"excel":8,"python":105,"tableau":8,"power bi":105,"snowflake":105,"thoughtspot":105},[203,101,111,204,205,206,104],"Snowflake","Excel","ThoughtSpot","Power BI",{"agile":12,"reporting":8,"automation":105,"kpi design":8,"data cleaning":8,"data analytics":8,"data validation":8,"ai-enabled tools":105,"data integration":8,"data visualization":8,"hypothesis testing":105,"statistical methods":105,"business intelligence":8,"operational analytics":8,"performance analytics":8},[209,210,58,28,211,212,144,213,214,215,216,217,218,219,37],"Data Analytics","Performance Analytics","KPI Design","Reporting","Statistical Methods","Hypothesis Testing","Data Validation","Data Cleaning","Data Integration","Agile","AI-Enabled Tools",{"id":221,"slug":222,"title":223,"raw_title":189,"is_featured":190,"company":224,"raw_hiringOrganization_logo_url":189,"processed_city_gmaps":227,"processed_country_iso_code_gmaps":229,"processed_home_office":196,"processed_salary_min":231,"processed_salary_max":232,"processed_salary_currency":174,"processed_salary_source":199,"processed_working_hours":233,"processed_employment_types":22,"processed_it_skills":234,"processed_it_skills_labels":235,"processed_job_expertise_skills":238,"processed_job_expertise_skills_labels":239,"max_cpc":19,"actual_cpc":19},83554,"process-improvement-analyst-business-operations-great-american-insurance-company","Process Improvement Analyst - Business Operations",{"name":225,"slug":226,"logo_url":189},"Great American Insurance Company","great-american-insurance-company",[228],"Cincinnati",[230],"US",60000,90000,[181],{"microsoft excel":105,"ai-enabled tools":12,"data analysis tools":105,"process automation tools":105},[141,236,219,237],"Process Automation Tools","Microsoft Excel",{"lean six sigma":12,"kpi development":105,"customer service":105,"business operations":8,"insurance knowledge":12,"process improvement":8,"project coordination":105,"operational analytics":105,"process documentation":105,"call center operations":105,"requirements gathering":105,"testing and validation":105},[240,61,43,28,241,67,242,243,244,40,245,246],"Process Improvement","Customer Service","Insurance Knowledge","Lean Six Sigma","Requirements Gathering","KPI Development","Testing and Validation",{"id":248,"slug":249,"title":250,"raw_title":189,"is_featured":190,"company":251,"raw_hiringOrganization_logo_url":189,"processed_city_gmaps":254,"processed_country_iso_code_gmaps":256,"processed_home_office":196,"processed_salary_min":257,"processed_salary_max":258,"processed_salary_currency":174,"processed_salary_source":199,"processed_working_hours":259,"processed_employment_types":22,"processed_it_skills":260,"processed_it_skills_labels":261,"processed_job_expertise_skills":263,"processed_job_expertise_skills_labels":264,"max_cpc":19,"actual_cpc":19},83707,"npmc-operational-technician-ii-government-employees-insurance-company","NPMC Operational Technician II",{"name":252,"slug":253,"logo_url":189},"Government Employees Insurance Company","government-employees-insurance-company",[255],"Fredericksburg",[230],55000,85000,[181],{"sql":105,"power bi":105,"sharepoint":105,"power automate":105,"microsoft office suite":8},[159,206,117,262,101],"SharePoint",{"budgeting":105,"forecasting":105,"cost analysis":105,"workflow systems":8,"vendor management":8,"financial analysis":105,"process automation":8,"production support":8,"business continuity":105,"project coordination":8,"operational analytics":8,"operational governance":105,"infrastructure management":105},[265,266,267,28,268,269,49,34,82,55,270,271,43],"Production Support","Workflow Systems","Vendor Management","Process Automation","Financial Analysis","Operational Governance","Infrastructure Management",{"id":273,"slug":274,"title":275,"raw_title":189,"is_featured":190,"company":276,"raw_hiringOrganization_logo_url":189,"processed_city_gmaps":279,"processed_country_iso_code_gmaps":281,"processed_home_office":283,"processed_salary_min":284,"processed_salary_max":285,"processed_salary_currency":178,"processed_salary_source":199,"processed_working_hours":286,"processed_employment_types":22,"processed_it_skills":287,"processed_it_skills_labels":288,"processed_job_expertise_skills":302,"processed_job_expertise_skills_labels":303,"max_cpc":19,"actual_cpc":19},75138,"data-scientist-manager-refinitiv-india-shared-services-private-limited","Data Scientist Manager",{"name":277,"slug":278,"logo_url":189},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[280],"Bengaluru",[282],"IN","onsite",3000000,5000000,[181],{"cpq":105,"sap":105,"sql":8,"oracle":105,"python":8,"siebel":105,"uipath":105,"celonis":105,"pyspark":8,"pytorch":8,"tableau":105,"xgboost":8,"aws glue":105,"power bi":105,"blue prism":105,"salesforce":105,"tensorflow":8,"scikit-learn":8,"power automate":105,"automation anywhere":105},[104,101,289,206,111,290,291,292,293,294,126,295,117,296,297,298,299,300,171,301],"PySpark","Scikit-learn","XGBoost","TensorFlow","PyTorch","AWS Glue","UiPath","Automation Anywhere","Blue Prism","Siebel","CPQ","SAP","Salesforce",{"rpa":8,"automation":8,"erp systems":105,"dashboarding":8,"data science":8,"process mining":8,"kpi development":8,"anomaly detection":8,"people management":8,"advanced analytics":8,"customer operations":8,"order-to-cash (o2c)":8,"predictive modeling":8,"workflow automation":8,"process optimization":8,"business rules engine":8,"operational analytics":8,"prescriptive modeling":8,"digital transformation":8,"sales order management":8},[304,305,306,37,307,308,91,64,309,310,311,312,313,314,28,245,315,316,317,318],"Data Science","Advanced Analytics","Process Optimization","Order-to-Cash (O2C)","Sales Order Management","Process Mining","Workflow Automation","RPA","Predictive Modeling","Prescriptive Modeling","Anomaly Detection","Dashboarding","Digital Transformation","People Management","ERP Systems",{"id":320,"slug":321,"title":322,"raw_title":189,"is_featured":190,"company":323,"raw_hiringOrganization_logo_url":189,"processed_city_gmaps":326,"processed_country_iso_code_gmaps":328,"processed_home_office":196,"processed_salary_min":329,"processed_salary_max":330,"processed_salary_currency":174,"processed_salary_source":199,"processed_working_hours":331,"processed_employment_types":22,"processed_it_skills":332,"processed_it_skills_labels":333,"processed_job_expertise_skills":342,"processed_job_expertise_skills_labels":343,"max_cpc":19,"actual_cpc":19},78476,"director-workforce-bpo-management-dentaquest-sun-life-financial-us-services-company-inc","Director, Workforce & BPO Management, DentaQuest",{"name":324,"slug":325,"logo_url":189},"Sun Life Financial (U.S.) Services Company, Inc.","sun-life-financial-us-services-company-inc",[327],"Milwaukee",[230],114600,171900,[181],{"chat systems":105,"reporting tools":105,"aws\u002Famazon connect":105,"call routing systems":105,"interactive voice response (ivr)":105,"digital self-service capabilities":105,"customer relationship management (crm) systems":105,"nice workforce management and quality platforms":105},[334,335,336,337,338,339,340,341],"AWS\u002FAmazon Connect","NICE workforce management and quality platforms","Customer Relationship Management (CRM) systems","Interactive Voice Response (IVR)","Chat systems","Call routing systems","Reporting tools","Digital self-service capabilities",{"scheduling":8,"forecasting":8,"sla management":8,"budget planning":8,"cost management":8,"capacity planning":8,"vendor governance":8,"contract alignment":8,"invoice validation":8,"operational insights":8,"workforce management":8,"bpo\u002Fvendor management":8,"operational analytics":8,"performance reporting":8,"process documentation":8,"performance management":8,"business case development":8,"contact center operations":8,"corrective action planning":8,"executive-level dashboards":8,"customer service operations":8,"customer service technology":8,"cross-functional partnership":8,"return on investment analysis":8},[344,345,346,347,348,349,350,351,352,353,354,34,355,356,357,358,359,360,361,362,363,364,365,366],"Workforce management","Contact center operations","Customer service operations","BPO\u002Fvendor management","Operational analytics","Customer service technology","Budget planning","Cost management","Return on investment analysis","Business case development","Capacity planning","Scheduling","Performance management","Contract alignment","SLA management","Invoice validation","Corrective action planning","Executive-level dashboards","Operational insights","Performance reporting","Cross-functional partnership","Process documentation","Vendor governance",{"id":368,"slug":369,"title":370,"raw_title":189,"is_featured":190,"company":371,"raw_hiringOrganization_logo_url":189,"processed_city_gmaps":374,"processed_country_iso_code_gmaps":376,"processed_home_office":283,"processed_salary_min":378,"processed_salary_max":379,"processed_salary_currency":176,"processed_salary_source":199,"processed_working_hours":380,"processed_employment_types":22,"processed_it_skills":381,"processed_it_skills_labels":382,"processed_job_expertise_skills":392,"processed_job_expertise_skills_labels":393,"max_cpc":19,"actual_cpc":410},59530,"data-scientist-gbr006-refinitiv-limited","Data Scientist",{"name":372,"slug":373,"logo_url":189},"Refinitiv Limited","refinitiv-limited",[375],"London",[377],"GB",80000,120000,[181],{"sql":105,"llms":105,"mlops":105,"numpy":105,"pandas":105,"python":8,"scikit-learn":105,"generative ai":105,"azure ai services":12,"rag architectures":105,"data visualization":105,"cloud-based data science platforms":105},[104,101,383,384,290,385,386,387,388,389,390,391],"Pandas","NumPy","Generative AI","LLMs","RAG architectures","Cloud-based data science platforms","MLOps","Data visualization","Azure AI services",{"sre":12,"mentoring":105,"observability":12,"responsible ai":12,"experimentation":105,"machine learning":8,"model evaluation":105,"model governance":105,"model monitoring":105,"product delivery":105,"financial services":12,"feature engineering":105,"predictive analytics":8,"ai-powered automation":12,"market infrastructure":12,"operational analytics":12,"statistical modelling":8,"regulated environments":12},[394,395,396,397,398,399,400,401,402,403,18,404,405,406,407,28,408,409],"Machine Learning","Statistical Modelling","Predictive Analytics","Experimentation","Feature Engineering","Model Evaluation","Model Monitoring","Model Governance","Product Delivery","Mentoring","Regulated Environments","Market Infrastructure","Observability","SRE","AI-powered Automation","Responsible AI",0.5,{"total":19,"jobs":412},[413],{"id":414,"slug":415,"title":416,"raw_title":189,"is_featured":417,"company":418,"raw_hiringOrganization_logo_url":189,"processed_city_gmaps":422,"processed_country_iso_code_gmaps":424,"processed_home_office":426,"processed_salary_min":427,"processed_salary_max":428,"processed_salary_currency":429,"processed_salary_source":189,"processed_working_hours":430,"processed_employment_types":23,"processed_it_skills":432,"processed_it_skills_labels":189,"processed_job_expertise_skills":433,"processed_job_expertise_skills_labels":434,"max_cpc":440,"actual_cpc":189},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":419,"slug":420,"logo_url":421},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[423],"Frankfurt am Main",[425],"DE","HYBRID",45000,65000,"EUR",[431],"full_time",{},{"Financial Analysis":105,"Regulatory Compliance":105,"New Customer Acquisition":105,"Private Banking Advisory":105,"Banking Products Knowledge":105,"Customer Relationship Management":105},[435,269,436,437,438,439],"Private Banking Advisory","Banking Products Knowledge","Regulatory Compliance","Customer Relationship Management","New Customer Acquisition",0.8]