[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fde-in\u002Fjobs-by-skill\u002Fms-excel?page=10":3,"seo-content-skill-ms-excel-in":611,"skill-page-filters-\u002Fde-in\u002Fjobs-by-skill\u002Fms-excel?page=10":641,"featured-jobs-\u002Fde-in\u002Fjobs-by-skill\u002Fms-excel?page=10":866},{"total":4,"jobs":5},256,[6,65,99,129,165,196,232,272,291,328,355,377,402,442,465,485,501,517,541,583],{"id":7,"slug":8,"title":9,"raw_title":10,"is_featured":11,"company":12,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":15,"processed_country_iso_code_gmaps":17,"processed_home_office":19,"processed_salary_min":20,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":24,"processed_employment_types":26,"processed_it_skills":27,"processed_it_skills_labels":30,"processed_job_expertise_skills":39,"processed_job_expertise_skills_labels":40,"max_cpc":64,"actual_cpc":64},75092,"oracle-fusion-techno-functional-analyst-refinitiv-india-shared-services-private-limited","Oracle Fusion Techno-Functional Analyst",null,false,{"name":13,"slug":14,"logo_url":10},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[16],"Bengaluru",[18],"IN","onsite",2000000,3500000,"INR","estimated",[25],"FULL_TIME","permanent",{"otbi":28,"ms word":28,"ms excel":28,"ms visio":28,"bi publisher":28,"ms powerpoint":28,"oracle fusion applications":29,"oracle e-business suite r12":29},3,4,[31,32,33,34,35,36,37,38],"Oracle Fusion Applications","Oracle E-Business Suite R12","OTBI","BI Publisher","MS PowerPoint","MS Word","MS Excel","MS Visio",{"gap analysis":29,"reconciliation":29,"solution design":29,"flexfield setups":29,"multi-org concepts":29,"technical consulting":29,"functional consulting":29,"system administration":29,"enterprise architecture":29,"process workflow design":29,"accounting setup manager":29,"chart of accounts design":29,"business process analysis":29,"enterprise structure design":29,"global consolidation system":29,"post-implementation support":29,"specification documentation":29,"sub-ledger accounting (sla)":29,"cloud\u002Fe-business suite (ebs)":29,"procure-to-pay (p2p) process":29,"multiple reporting currencies":29,"multi org access control (moac)":29,"oracle financial modules (gl, ap, ar, cm, fa)":29},[41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63],"Oracle Financial Modules (GL, AP, AR, CM, FA)","Procure-to-Pay (P2P) Process","Solution Design","Business Process Analysis","Enterprise Architecture","Multi-Org Concepts","Global Consolidation System","Multiple Reporting Currencies","Flexfield Setups","Sub-ledger Accounting (SLA)","Accounting Setup Manager","Multi Org Access Control (MOAC)","Reconciliation","System Administration","Functional Consulting","Technical Consulting","Cloud\u002FE-Business Suite (EBS)","Chart of Accounts Design","Enterprise Structure Design","Gap Analysis","Specification Documentation","Process Workflow Design","Post-Implementation Support",1,{"id":66,"slug":67,"title":68,"raw_title":10,"is_featured":11,"company":69,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":72,"processed_country_iso_code_gmaps":74,"processed_home_office":19,"processed_salary_min":75,"processed_salary_max":76,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":77,"processed_employment_types":26,"processed_it_skills":78,"processed_it_skills_labels":80,"processed_job_expertise_skills":84,"processed_job_expertise_skills_labels":85,"max_cpc":64,"actual_cpc":64},83191,"branch-operations-analyst-nct-0784-deutsche-bank-aktiengesellschaft-filiale-mumbai-2","Branch Operations Analyst, NCT",{"name":70,"slug":71,"logo_url":10},"0784 Deutsche Bank Aktiengesellschaft, Filiale Mumbai","0784-deutsche-bank-aktiengesellschaft-filiale-mumbai",[73],"Mumbai",[18],800000,1500000,[25],{"ai tools":79,"microsoft excel":28,"transaction-processing systems":28},2,[81,82,83],"Microsoft Excel","Transaction-processing systems","AI tools",{"commodities":28,"consignment":28,"static data":28,"physical gold":28,"trade finance":28,"reconciliation":28,"cash settlement":28,"precious metals":28,"vault processes":28,"banking operations":28,"treasury settlement":28,"physical-asset custody":28,"loan or deposit lifecycles":28,"indian bullion-import knowledge":79},[86,87,88,89,90,91,92,93,94,95,96,53,97,98],"Banking operations","Precious metals","Commodities","Trade finance","Treasury settlement","Physical-asset custody","Physical gold","Consignment","Loan or deposit lifecycles","Vault processes","Cash settlement","Static data","Indian bullion-import knowledge",{"id":100,"slug":101,"title":102,"raw_title":10,"is_featured":11,"company":103,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":106,"processed_country_iso_code_gmaps":107,"processed_home_office":19,"processed_salary_min":108,"processed_salary_max":109,"processed_salary_currency":110,"processed_salary_source":23,"processed_working_hours":111,"processed_employment_types":26,"processed_it_skills":112,"processed_it_skills_labels":113,"processed_job_expertise_skills":117,"processed_job_expertise_skills_labels":118,"max_cpc":64,"actual_cpc":64},80754,"compensation-analyst-apollo-india-services-llp","Compensation Analyst",{"name":104,"slug":105,"logo_url":10},"Apollo India Services LLP","apollo-india-services-llp",[73],[18],60000,90000,"USD",[25],{"ai":79,"excel":29,"macro building":28},[114,115,116],"Excel","Macro Building","AI",{"budgeting":28,"forecasting":28,"carried interest":79,"compensation design":29,"financial accounting":79,"market data analysis":28,"compensation analysis":29,"co-investment programs":79,"compensation reporting":29,"compensation administration":29},[119,120,121,122,123,124,125,126,127,128],"Compensation Design","Compensation Analysis","Compensation Administration","Compensation Reporting","Budgeting","Forecasting","Market Data Analysis","Financial Accounting","Carried Interest","Co-Investment Programs",{"id":130,"slug":131,"title":132,"raw_title":10,"is_featured":11,"company":133,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":136,"processed_country_iso_code_gmaps":137,"processed_home_office":19,"processed_salary_min":138,"processed_salary_max":139,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":140,"processed_employment_types":26,"processed_it_skills":141,"processed_it_skills_labels":142,"processed_job_expertise_skills":150,"processed_job_expertise_skills_labels":151,"max_cpc":64,"actual_cpc":64},78891,"associate-allocation-development-tiaa-global-capabilities-private-limited","Associate - Allocation Development",{"name":134,"slug":135,"logo_url":10},"TIAA Global Capabilities Private Limited","tiaa-global-capabilities-private-limited",[73],[18],1200000,1800000,[25],{"drm":29,"hfm":29,"ofsaa":29,"essbase":29,"ms excel":29,"sql developer":29,"microsoft office":28,"oracle fusion cloud epm-epcm":29},[143,144,145,146,147,148,37,149],"OFSAA","DRM","HFM","SQL Developer","Essbase","Oracle Fusion Cloud EPM-EPCM","Microsoft Office",{"gaap":29,"analysis":29,"expense bill":29,"p&l reporting":29,"risk analysis":29,"functional design":29,"accounting standards":29,"client profitability":29,"management reporting":29,"allocation methodology":29,"reference data maintenance":29,"driver methodology development":29,"management information reporting":29},[152,153,154,155,156,157,158,159,160,161,162,163,164],"Allocation Methodology","Driver Methodology Development","Functional Design","Management Reporting","Reference Data Maintenance","Management Information Reporting","Analysis","Expense Bill","Client Profitability","P&L Reporting","Accounting Standards","GAAP","Risk Analysis",{"id":166,"slug":167,"title":168,"raw_title":10,"is_featured":11,"company":169,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":172,"processed_country_iso_code_gmaps":174,"processed_home_office":175,"processed_salary_min":75,"processed_salary_max":138,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":176,"processed_employment_types":26,"processed_it_skills":177,"processed_it_skills_labels":178,"processed_job_expertise_skills":182,"processed_job_expertise_skills_labels":183,"max_cpc":64,"actual_cpc":64},73806,"adv-analyst-bus-cont-invesco-india-private-limited-sez-unit","Adv Analyst-Bus Cont",{"name":170,"slug":171,"logo_url":10},"Invesco (India) Private Limited - SEZ Unit","invesco-india-private-limited-sez-unit",[173],"Hyderabad",[18],"hybrid",[25],{"ms word":28,"ms excel":28,"ms teams":28,"power bi":79,"sharepoint":28,"ms powerpoint":28},[37,35,36,179,180,181],"MS Teams","Power BI","SharePoint",{"reporting":28,"data collection":28,"meeting support":28,"risk management":28,"training support":28,"crisis management":28,"business continuity":29,"presentation skills":28,"operational resilience":29,"business impact analysis":28,"documentation management":28,"cross-functional collaboration":28},[184,185,186,187,188,189,190,191,192,193,194,195],"Business Continuity","Operational Resilience","Crisis Management","Business Impact Analysis","Risk Management","Documentation Management","Data Collection","Reporting","Cross-functional Collaboration","Presentation Skills","Meeting Support","Training Support",{"id":197,"slug":198,"title":199,"raw_title":10,"is_featured":11,"company":200,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":203,"processed_country_iso_code_gmaps":204,"processed_home_office":19,"processed_salary_min":205,"processed_salary_max":206,"processed_salary_currency":110,"processed_salary_source":23,"processed_working_hours":207,"processed_employment_types":26,"processed_it_skills":208,"processed_it_skills_labels":209,"processed_job_expertise_skills":218,"processed_job_expertise_skills_labels":219,"max_cpc":64,"actual_cpc":64},76004,"vice-president-fpa-mufg-global-service-private-limited","Vice President- FP&A",{"name":201,"slug":202,"logo_url":10},"MUFG Global Service Private Limited","mufg-global-service-private-limited",[16],[18],150000,200000,[25],{"sap":28,"vba":28,"word":28,"excel":29,"access":28,"anaplan":79,"powerpoint":28,"hyperion essbase":79,"microsoft dynamics":28},[114,210,211,212,213,214,215,216,217],"PowerPoint","Hyperion Essbase","Anaplan","SAP","Microsoft Dynamics","VBA","Word","Access",{"budgeting":29,"accounting":29,"forecasting":29,"rwa projections":28,"banking products":29,"corporate finance":29,"financial systems":28,"project management":29,"strategic planning":29,"process improvement":29,"management reporting":29,"balance sheet analysis":29,"regulatory requirements":28,"financial planning & analysis":29,"cross-functional team management":29},[220,123,124,155,221,222,223,224,225,226,227,228,229,230,231],"Financial Planning & Analysis","Balance Sheet Analysis","RWA Projections","Strategic Planning","Corporate Finance","Accounting","Banking Products","Regulatory Requirements","Project Management","Process Improvement","Cross-functional Team Management","Financial Systems",{"id":233,"slug":234,"title":235,"raw_title":10,"is_featured":11,"company":236,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":239,"processed_country_iso_code_gmaps":240,"processed_home_office":175,"processed_salary_min":20,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":241,"processed_employment_types":26,"processed_it_skills":242,"processed_it_skills_labels":243,"processed_job_expertise_skills":251,"processed_job_expertise_skills_labels":252,"max_cpc":64,"actual_cpc":64},72196,"business-management-analyst-as-9608-deutsche-india-private-limited-mumbai-branch","Business Management Analyst, AS",{"name":237,"slug":238,"logo_url":10},"9608 Deutsche India Private Limited, Mumbai Branch","9608-deutsche-india-private-limited-mumbai-branch",[73],[18],[25],{"css":28,"sql":29,"vba":28,"html":28,"excel":29,"python":29,"tableau":29,"power bi":29,"scripting":28,"ai-powered productivity tools (e.g., copilot, genai platforms)":28},[244,245,246,247,248,180,249,114,215,250],"Python","SQL","CSS","HTML","Scripting","Tableau","AI-powered productivity tools (e.g., Copilot, GenAI platforms)",{"data science":29,"documentation":28,"user training":28,"data modelling":29,"benefit analysis":29,"machine learning":29,"process analysis":29,"process redesign":29,"knowledge sharing":28,"project reporting":28,"advanced analytics":29,"capability mapping":29,"workflow automation":29,"predictive analytics":29,"continuous improvement":28,"artificial intelligence":29,"business case development":29,"intelligent decision-support solutions":29,"delivery of complex change or transformation initiatives":29},[253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271],"Artificial Intelligence","Machine Learning","Data Science","Advanced Analytics","Data modelling","Predictive analytics","Workflow automation","Intelligent decision-support solutions","Process analysis","Process redesign","Capability mapping","Delivery of complex change or transformation initiatives","Business case development","Benefit analysis","Project reporting","Documentation","User training","Knowledge sharing","Continuous improvement",{"id":273,"slug":274,"title":275,"raw_title":10,"is_featured":11,"company":276,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":277,"processed_country_iso_code_gmaps":278,"processed_home_office":19,"processed_salary_min":279,"processed_salary_max":280,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":281,"processed_employment_types":26,"processed_it_skills":282,"processed_it_skills_labels":283,"processed_job_expertise_skills":285,"processed_job_expertise_skills_labels":286,"max_cpc":64,"actual_cpc":64},75971,"assistant-vice-president-fpa-mufg-global-service-private-limited","Assistant Vice President- FP&A",{"name":201,"slug":202,"logo_url":10},[16],[18],3000000,5000000,[25],{"sap":28,"vba":28,"excel":29,"anaplan":79,"powerpoint":28,"hyperion essbase":79,"microsoft access":28,"microsoft dynamics":28},[114,210,211,212,213,214,215,284],"Microsoft Access",{"budgeting":29,"forecasting":29,"rwa projections":28,"financial modeling":29,"project management":29,"strategic planning":29,"process improvement":29,"management reporting":29,"regulatory knowledge":28,"accounting principles":29,"balance sheet analysis":29,"banking products knowledge":29,"financial planning & analysis":29,"cross-functional team management":29},[220,123,124,155,221,222,223,287,288,289,290,228,229,230],"Financial Modeling","Accounting Principles","Banking Products Knowledge","Regulatory Knowledge",{"id":292,"slug":293,"title":294,"raw_title":10,"is_featured":11,"company":295,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":298,"processed_country_iso_code_gmaps":299,"processed_home_office":19,"processed_salary_min":75,"processed_salary_max":138,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":300,"processed_employment_types":26,"processed_it_skills":301,"processed_it_skills_labels":302,"processed_job_expertise_skills":311,"processed_job_expertise_skills_labels":312,"max_cpc":64,"actual_cpc":64},69139,"senior-associate-non-loan-settlements-ares-operations-india-private-limited","Senior Associate (Non-Loan Settlements)",{"name":296,"slug":297,"logo_url":10},"Ares Operations India Private Limited","ares-operations-india-private-limited",[73],[18],[25],{"dtcc":28,"swift":28,"geneva":28,"power bi":79,"euroclear":28,"clearstream":28,"microsoft word":28,"microsoft excel":29,"microsoft outlook":28,"wall street office":28},[81,303,304,305,306,180,307,308,309,310],"Microsoft Outlook","Microsoft Word","Wall Street Office","Geneva","SWIFT","Euroclear","Clearstream","DTCC",{"clearpar":28,"bank loans":29,"kpi reporting":79,"emir reporting":79,"loan settlements":28,"trade amendments":28,"mifid ii reporting":79,"csdr claims process":28,"settlement workflows":29,"trade reconciliation":29,"fixed income products":29,"trade failure resolution":29,"investment management operations":29,"broker\u002Fcustodian\u002Fagent bank interaction":29,"outsource\u002Foffshore service provider management":28},[313,314,315,316,317,318,319,320,321,322,323,324,325,326,327],"Fixed Income Products","Bank Loans","Trade Reconciliation","Settlement Workflows","Trade Amendments","Trade Failure Resolution","MIFID II Reporting","EMIR Reporting","CSDR Claims Process","Loan Settlements","ClearPar","KPI Reporting","Investment Management Operations","Outsource\u002FOffshore Service Provider Management","Broker\u002FCustodian\u002FAgent Bank Interaction",{"id":329,"slug":330,"title":331,"raw_title":10,"is_featured":11,"company":332,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":333,"processed_country_iso_code_gmaps":334,"processed_home_office":19,"processed_salary_min":76,"processed_salary_max":335,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":336,"processed_employment_types":26,"processed_it_skills":337,"processed_it_skills_labels":338,"processed_job_expertise_skills":342,"processed_job_expertise_skills_labels":343,"max_cpc":64,"actual_cpc":64},69140,"senior-associate-administrative-manager-shift-lead-ares-operations-india-private-limited","Senior Associate, Administrative Manager (Shift Lead)",{"name":296,"slug":297,"logo_url":10},[73],[18],2500000,[25],{"coupa":79,"excel":28,"outlook":28,"docusign":79,"powerpoint":28,"microsoft office":28},[149,339,114,210,340,341],"Outlook","Coupa","DocuSign",{"training":28,"recruiting":28,"human resources":79,"people management":29,"expense management":28,"invoice processing":28,"meeting management":29,"process improvement":28,"travel coordination":29,"executive assistance":29,"administrative management":29,"financial services industry knowledge":79},[344,345,346,347,348,229,349,350,351,352,353,354],"Administrative Management","Executive Assistance","People Management","Recruiting","Training","Meeting Management","Travel Coordination","Expense Management","Invoice Processing","Human Resources","Financial Services Industry Knowledge",{"id":356,"slug":357,"title":358,"raw_title":10,"is_featured":11,"company":359,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":360,"processed_country_iso_code_gmaps":361,"processed_home_office":175,"processed_salary_min":279,"processed_salary_max":280,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":362,"processed_employment_types":26,"processed_it_skills":363,"processed_it_skills_labels":364,"processed_job_expertise_skills":367,"processed_job_expertise_skills_labels":368,"max_cpc":64,"actual_cpc":64},83178,"strategy-business-management-specialist-avp-9608-deutsche-india-private-limited-mumbai-branch","Strategy & Business Management Specialist, AVP",{"name":237,"slug":238,"logo_url":10},[73],[18],[25],{"ai tools":28,"microsoft excel":28,"microsoft powerpoint":29},[365,81,366],"Microsoft PowerPoint","AI Tools",{"consulting":28,"strategy planning":29,"control frameworks":28,"financial analysis":28,"headcount tracking":28,"program management":28,"business management":29,"management information reporting":28,"banking and wealth management knowledge":28},[369,370,371,372,373,374,157,375,376],"Business Management","Strategy Planning","Consulting","Financial Analysis","Headcount Tracking","Program Management","Control Frameworks","Banking and Wealth Management Knowledge",{"id":378,"slug":379,"title":380,"raw_title":10,"is_featured":11,"company":381,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":382,"processed_country_iso_code_gmaps":383,"processed_home_office":175,"processed_salary_min":279,"processed_salary_max":280,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":384,"processed_employment_types":26,"processed_it_skills":385,"processed_it_skills_labels":386,"processed_job_expertise_skills":387,"processed_job_expertise_skills_labels":388,"max_cpc":64,"actual_cpc":64},72198,"business-management-analyst-avp-9608-deutsche-india-private-limited-mumbai-branch","Business Management Analyst, AVP",{"name":237,"slug":238,"logo_url":10},[73],[18],[25],{"css":28,"sql":29,"vba":28,"html":28,"excel":29,"python":29,"tableau":29,"power bi":29,"scripting":28,"ai-powered productivity tools (e.g., copilot, genai platforms)":28},[244,245,246,247,248,180,249,114,215,250],{"pmp":79,"agile":79,"scrum":79,"controls":28,"data science":29,"data modelling":28,"lean six sigma":79,"process mining":79,"banking products":28,"machine learning":29,"operational risk":28,"process analysis":29,"process redesign":29,"project execution":29,"advanced analytics":29,"capability mapping":28,"automation delivery":29,"workflow automation":28,"predictive analytics":28,"operating model design":29,"private bank processes":28,"artificial intelligence":29,"transformation initiatives":29,"intelligent decision-support solutions":28},[253,254,255,256,389,257,258,259,260,261,390,262,263,391,392,393,394,395,396,397,398,399,400,401],"Project execution","Operating model design","Automation delivery","Transformation initiatives","Banking products","Private Bank processes","Operational risk","Controls","Lean Six Sigma","Agile","Scrum","PMP","Process Mining",{"id":403,"slug":404,"title":405,"raw_title":10,"is_featured":11,"company":406,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":407,"processed_country_iso_code_gmaps":408,"processed_home_office":19,"processed_salary_min":205,"processed_salary_max":409,"processed_salary_currency":110,"processed_salary_source":23,"processed_working_hours":410,"processed_employment_types":26,"processed_it_skills":411,"processed_it_skills_labels":412,"processed_job_expertise_skills":413,"processed_job_expertise_skills_labels":414,"max_cpc":64,"actual_cpc":64},76007,"vice-president-finance-process-excellence-mufg-global-service-private-limited","Vice President- Finance Process Excellence",{"name":201,"slug":202,"logo_url":10},[16],[18],250000,[25],{"sap":28,"vba":28,"microsoft word":28,"microsoft excel":29,"microsoft access":28,"microsoft dynamics":28},[213,214,81,215,304,284],{"tax":29,"fp&a":29,"lean":29,"loans":29,"budgeting":29,"six sigma":29,"automation":29,"guarantees":29,"derivatives":29,"cash equities":29,"restructuring":29,"trade finance":29,"kpi monitoring":29,"sla management":29,"sox compliance":29,"product control":29,"accounts payable":29,"team integration":29,"process excellence":29,"project management":29,"banking regulations":29,"financial reporting":29,"process improvement":29,"financial accounting":29,"regulatory reporting":29,"accounting principles":29,"governance frameworks":29,"strategic partnership":29,"continuous improvement":29,"operating model design":29,"large-scale integration":29,"financial reporting systems":29},[415,416,417,418,126,419,420,421,422,423,123,229,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,228,288,441],"Financial Reporting","Process Excellence","Governance Frameworks","FP&A","Accounts Payable","Regulatory Reporting","SOX Compliance","Tax","Product Control","Automation","Operating Model Design","Team Integration","Strategic Partnership","Large-Scale Integration","Restructuring","Continuous Improvement","Lean","Six Sigma","KPI Monitoring","SLA Management","Banking Regulations","Loans","Guarantees","Trade Finance","Cash Equities","Derivatives","Financial Reporting Systems",{"id":443,"slug":444,"title":445,"raw_title":10,"is_featured":11,"company":446,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":449,"processed_country_iso_code_gmaps":451,"processed_home_office":19,"processed_salary_min":76,"processed_salary_max":335,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":452,"processed_employment_types":26,"processed_it_skills":453,"processed_it_skills_labels":454,"processed_job_expertise_skills":458,"processed_job_expertise_skills_labels":459,"max_cpc":64,"actual_cpc":64},75906,"associateanalyst-planning-mufg-bank-ltd-new-delhi-branch","Associate\u002FAnalyst - Planning",{"name":447,"slug":448,"logo_url":10},"MUFG Bank, Ltd., New Delhi Branch","mufg-bank-ltd-new-delhi-branch",[450],"Neu-Delhi",[18],[25],{"excel":28,"database management":28,"mis reporting tools":28,"financial modeling software":28},[114,455,456,457],"Financial Modeling Software","Database Management","MIS Reporting Tools",{"budgeting":29,"audit support":28,"mis reporting":28,"risk management":28,"sector analysis":29,"financial analysis":29,"financial modeling":29,"project management":28,"strategic planning":29,"regulatory compliance":28,"client relationship management":29},[372,223,123,287,460,461,188,462,463,464,228],"Sector Analysis","Client Relationship Management","Regulatory Compliance","Audit Support","MIS Reporting",{"id":466,"slug":467,"title":468,"raw_title":10,"is_featured":11,"company":469,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":470,"processed_country_iso_code_gmaps":471,"processed_home_office":19,"processed_salary_min":20,"processed_salary_max":472,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":473,"processed_employment_types":26,"processed_it_skills":474,"processed_it_skills_labels":475,"processed_job_expertise_skills":476,"processed_job_expertise_skills_labels":477,"max_cpc":64,"actual_cpc":64},53018,"associate-global-treasury-operations-0156-ares-operations-india-private-limited","Associate, Global Treasury Operations",{"name":296,"slug":297,"logo_url":10},[73],[18],4000000,[25],{"sql":79,"vba":79,"excel":28,"tableau":79,"power bi":79},[114,245,215,249,180],{"accounting":28,"cash modelling":29,"cash management":29,"data management":28,"fund structures":28,"investment vehicles":28,"treasury operations":29,"liquidity forecasting":29},[478,479,480,481,225,482,483,484],"Treasury Operations","Cash Management","Liquidity Forecasting","Cash Modelling","Data Management","Investment Vehicles","Fund Structures",{"id":486,"slug":487,"title":488,"raw_title":10,"is_featured":11,"company":489,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":490,"processed_country_iso_code_gmaps":491,"processed_home_office":19,"processed_salary_min":76,"processed_salary_max":279,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":492,"processed_employment_types":26,"processed_it_skills":493,"processed_it_skills_labels":494,"processed_job_expertise_skills":495,"processed_job_expertise_skills_labels":496,"max_cpc":64,"actual_cpc":64},53009,"associate-credit-ir-0156-ares-operations-india-private-limited","Associate, Credit IR",{"name":296,"slug":297,"logo_url":10},[73],[18],[25],{"excel":29,"power bi":28},[114,180],{"data analysis":29,"alternative credit":28,"investor relations":29,"financial reporting":29,"portfolio management":28},[497,415,498,499,500],"Investor Relations","Data Analysis","Portfolio Management","Alternative Credit",{"id":502,"slug":503,"title":504,"raw_title":10,"is_featured":11,"company":505,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":506,"processed_country_iso_code_gmaps":507,"processed_home_office":19,"processed_salary_min":279,"processed_salary_max":280,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":508,"processed_employment_types":26,"processed_it_skills":509,"processed_it_skills_labels":510,"processed_job_expertise_skills":511,"processed_job_expertise_skills_labels":512,"max_cpc":64,"actual_cpc":64},53017,"associate-vice-president-global-reconciliation-0156-ares-operations-india-private-limited","Associate Vice President, Global Reconciliation",{"name":296,"slug":297,"logo_url":10},[73],[18],[25],{"geneva":28,"clearpar":28,"power bi":28,"microsoft word":28,"microsoft excel":29,"microsoft outlook":28,"wall street office":28},[81,303,304,323,305,306,180],{"settlement":29,"kpi reporting":29,"reconciliation":29,"risk mitigation":29,"process improvement":29,"bank loan operations":29,"fixed income products":29,"loan life cycle management":29},[513,53,514,515,313,324,516,229],"Bank Loan Operations","Settlement","Loan Life Cycle Management","Risk Mitigation",{"id":518,"slug":519,"title":520,"raw_title":10,"is_featured":11,"company":521,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":522,"processed_country_iso_code_gmaps":523,"processed_home_office":19,"processed_salary_min":524,"processed_salary_max":525,"processed_salary_currency":110,"processed_salary_source":23,"processed_working_hours":526,"processed_employment_types":26,"processed_it_skills":527,"processed_it_skills_labels":528,"processed_job_expertise_skills":530,"processed_job_expertise_skills_labels":531,"max_cpc":64,"actual_cpc":64},67309,"analyst-compliance-tiaa-global-capabilities-private-limited","Analyst - Compliance",{"name":134,"slug":135,"logo_url":10},[73],[18],50000,70000,[25],{"microsoft word":28,"microsoft excel":28,"risk monitoring tools":28},[81,304,529],"Risk Monitoring Tools",{"compliance":28,"call monitoring":28,"risk assessment":28,"compliance audits":28,"regulatory research":28,"sampling techniques":79,"compliance monitoring":28,"corrective action plans":28,"us regulatory requirements":79},[532,533,534,535,536,537,538,539,540],"Compliance","Risk Assessment","Compliance Audits","Corrective Action Plans","Regulatory Research","Compliance Monitoring","Call Monitoring","Sampling Techniques","US Regulatory Requirements",{"id":542,"slug":543,"title":544,"raw_title":10,"is_featured":11,"company":545,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":548,"processed_country_iso_code_gmaps":549,"processed_home_office":19,"processed_salary_min":550,"processed_salary_max":524,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":551,"processed_employment_types":26,"processed_it_skills":552,"processed_it_skills_labels":553,"processed_job_expertise_skills":559,"processed_job_expertise_skills_labels":560,"max_cpc":64,"actual_cpc":64},60395,"analyst-senior-analyst-debt-capital-market-gcm-131-morgan-stanley-advantage-svcs","Analyst \u002FSenior Analyst - Debt Capital Market - GCM",{"name":546,"slug":547,"logo_url":10},"Morgan Stanley Advantage Svcs","morgan-stanley-advantage-svcs",[73],[18],30000,[25],{"excel":29,"ai tools":79,"dealogic":28,"bloomberg":28,"bondradar":28,"pitchbook":28,"powerpoint":29,"programming":79},[114,210,554,555,556,557,558,83],"Bloomberg","Dealogic","Pitchbook","Bondradar","Programming",{"raps":29,"automation":29,"efficiency":29,"pitch books":29,"scalability":29,"data accuracy":29,"market updates":29,"credit analysis":29,"pricing dynamics":29,"ratings advisory":29,"corporate finance":29,"peer benchmarking":29,"financial analysis":29,"investor targeting":29,"database management":29,"market intelligence":29,"operational support":29,"post-deal reporting":29,"process improvement":29,"debt capital markets":29,"roadshow preparation":29,"technical initiatives":29,"internal documentation":29,"investor presentations":29,"wall-crossing processes":29,"ad-hoc analytical support":29,"secondary market performance":29},[372,561,562,563,564,565,566,567,568,569,456,570,571,572,573,574,575,576,229,424,577,578,579,580,581,582,224],"Debt Capital Markets","Credit Analysis","Peer Benchmarking","Ratings Advisory","Pitch Books","Investor Presentations","Market Updates","RAPs","Internal Documentation","Market Intelligence","Secondary Market Performance","Pricing Dynamics","Investor Targeting","Roadshow Preparation","Wall-crossing Processes","Post-deal Reporting","Technical Initiatives","Data Accuracy","Efficiency","Scalability","Ad-hoc Analytical Support","Operational Support",{"id":584,"slug":585,"title":586,"raw_title":10,"is_featured":11,"company":587,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":588,"processed_country_iso_code_gmaps":589,"processed_home_office":19,"processed_salary_min":279,"processed_salary_max":280,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":590,"processed_employment_types":26,"processed_it_skills":591,"processed_it_skills_labels":592,"processed_job_expertise_skills":594,"processed_job_expertise_skills_labels":595,"max_cpc":64,"actual_cpc":610},52998,"avp-real-estate-fund-accounting-0156-ares-operations-india-private-limited","AVP, Real Estate Fund Accounting",{"name":296,"slug":297,"logo_url":10},[73],[18],[25],{"excel":29,"real estate g\u002Fl system":28},[114,593],"Real Estate G\u002FL System",{"audit":29,"budgeting":28,"valuation":28,"forecasting":28,"deal support":28,"tax reporting":28,"cost allocation":28,"fund accounting":29,"risk management":28,"investor reporting":29,"financial reporting":29,"promote allocations":29,"treasury management":28,"cash flow management":29,"waterfall calculations":29,"debt facility management":28,"automation implementation":28,"management fees calculation":29},[596,415,597,598,599,600,123,124,188,601,602,603,604,605,606,607,608,609],"Fund Accounting","Audit","Tax Reporting","Valuation","Cash Flow Management","Deal Support","Investor Reporting","Management Fees Calculation","Promote Allocations","Waterfall Calculations","Cost Allocation","Treasury Management","Debt Facility Management","Automation Implementation",0.3,{"image_path":612,"content_de":613,"content_en":626,"composite_key":639,"last_updated":640},"\u002Fimages\u002Fskill\u002Fms-excel.webp",{"tab1":614,"tab2":617,"tab3":620,"tab4":623},{"title":615,"content":616},"Bedeutung & Relevanz","**MS Excel** ist eine der wichtigsten Softwareanwendungen im indischen Finanzsektor und spielt eine entscheidende Rolle in der Effizienzsteigerung und Datenanalyse. In Indien, wo Finanzdienstleistungen wie [Fondsverwaltung](\u002Fjobs-by-industry\u002Ffund-administration) und [Versicherungen](\u002Fjobs-by-industry\u002Finsurance) boomen, ermöglicht Excel präzise Berechnungen, Berichterstattung und Prozessautomatisierung. Unternehmen nutzen es für [Finanzanalyse](\u002Fjobs-by-expertise\u002Ffinancial-analysis), [NAV-Berechnung](\u002Fjobs-by-expertise\u002Fnav-calculation) und [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management), um wettbewerbsfähig zu bleiben. Mit der wachsenden Digitalisierung in Städten wie Bengaluru und Mumbai ist Excel unverzichtbar für die Bearbeitung großer Datenmengen, was zu Kosteneinsparungen und verbesserten Entscheidungsprozessen führt. Seine Relevanz erstreckt sich auch auf [regulatorische Compliance](\u002Fjobs-by-expertise\u002Fregulatory-compliance), wo es bei der Erstellung von Finanzberichten und der Überwachung von Transaktionen hilft. In Indiens dynamischem Markt ist Excel somit ein Schlüsselwerkzeug für Fachkräfte, um komplexe finanzielle Aufgaben zu bewältigen und Karrierechancen zu maximieren.",{"title":618,"content":619},"Top-Branchen & Standorte","In Indien ist die Nachfrage nach **MS Excel**-Kenntnissen in mehreren Schlüsselbranchen und Großstädten besonders hoch. Zu den Top-Branchen gehören [Finanzdienstleistungen](\u002Fjobs-by-industry\u002Ffinancial-services), [Fondsverwaltung](\u002Fjobs-by-industry\u002Ffund-administration) und [Versicherungen](\u002Fjobs-by-industry\u002Finsurance), wo Excel für Aufgaben wie [Portfolioverwaltung](\u002Fjobs-by-expertise\u002Fportfolio-management) und [Prozessverbesserung](\u002Fjobs-by-expertise\u002Fprocess-improvement) eingesetzt wird. In Bezug auf Standorte sind Bengaluru, Navi Mumbai, Mumbai, Pune, Noida und Hyderabad führend, da diese Städte als Finanzzentren florieren und zahlreiche multinationale Unternehmen beherbergen. Beispielsweise nutzen Firmen in Mumbai Excel intensiv für [Finanztransaktionsverarbeitung](\u002Fjobs-by-expertise\u002Ffinancial-transaction-processing) und [Client Reporting](\u002Fjobs-by-expertise\u002Fclient-reporting), während Bengaluru mit seinem Technologie-Fokus die Anwendung für [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analysis) und Automatisierung vorantreibt. Diese Standorte bieten vielfältige Möglichkeiten für Fachkräfte, die Excel in dynamischen Umgebungen anwenden möchten.",{"title":621,"content":622},"Gefragte Skills & Arbeitgeber","Fachkenntnisse in **MS Excel** werden in Indien von Top-Unternehmen wie Apex Fund Services LLP, Allianz Insurance, CO_AFSLGO Apex Fund Services Holdings Ltd. und CO_SANFPL Apex Fund & Corporate Services SA (Pty) Ltd stark nachgefragt. Diese Arbeitgeber suchen nach Profilen, die Excel mit verwandten Expertise-Bereichen kombinieren, darunter [Fondsverwaltung](\u002Fjobs-by-expertise\u002Ffund-administration), [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management), [Finanzanalyse](\u002Fjobs-by-expertise\u002Ffinancial-analysis), [regulatorische Compliance](\u002Fjobs-by-expertise\u002Fregulatory-compliance) und [Projektmanagement](\u002Fjobs-by-expertise\u002Fproject-management). Spezifische Anwendungen umfassen die Erstellung von Finanzberichten, [NAV-Berechnungen](\u002Fjobs-by-expertise\u002Fnav-calculation) und [Audit-Unterstützung](\u002Fjobs-by-expertise\u002Faudit-support), wobei Excel als zentrales Tool für [Prozessautomatisierung](\u002Fjobs-by-expertise\u002Fprocess-automation) und [Qualitätsprüfung](\u002Fjobs-by-expertise\u002Fquality-checking) dient. Indem Fachkräfte diese Skills beherrschen, können sie sich in Bereichen wie [Hedgefonds-Buchhaltung](\u002Fjobs-by-expertise\u002Fhedge-fund-accounting) und [Client Service Management](\u002Fjobs-by-expertise\u002Fclient-service-management) profilieren und so ihre Attraktivität für führende Arbeitgeber im indischen Finanzsektor steigern.",{"title":624,"content":625},"Karriere & Entwicklung","Karrierewege mit **MS Excel** in Indien sind vielfältig und reichen von Rollen im [Finanzanalyse](\u002Fjobs-by-expertise\u002Ffinancial-analysis)-Bereich bis hin zu Positionen in [Fondsverwaltung](\u002Fjobs-by-expertise\u002Ffund-administration) und [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management). Um die Fähigkeit zu erlernen, empfehlen sich Online-Kurse, Zertifizierungen wie Microsoft Office Specialist (MOS) und praktische Anwendung in Projekten, die [Prozessverbesserung](\u002Fjobs-by-expertise\u002Fprocess-improvement) und [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analysis) betonen. Verwandte IT-Skills wie [SQL](\u002Fjobs-by-skill\u002Fsql), [VBA](\u002Fjobs-by-skill\u002Fvba) und [Datenanalyse-Tools](\u002Fjobs-by-skill\u002Fdata-analytics) können die Excel-Kenntnisse ergänzen und Karrierechancen in Bereichen wie [Automatisierungsprojekte](\u002Fjobs-by-expertise\u002Fautomation-projects) erweitern. In Indien, wo Städte wie Hyderabad und Pune Schulungszentren bieten, können Fachkräfte durch kontinuierliches Lernen und die Anwendung in realen Szenarien, z.B. bei [NAV-Berechnungen](\u002Fjobs-by-expertise\u002Fnav-calculation) oder [Client Reporting](\u002Fjobs-by-expertise\u002Fclient-reporting), ihr Profil schärfen und in leitende Positionen aufsteigen.",{"tab1":627,"tab2":630,"tab3":633,"tab4":636},{"title":628,"content":629},"Strategic Importance","**MS Excel** holds immense strategic importance in India's financial sector, serving as the backbone for data analysis, financial modeling, and operational efficiency. In a country where financial services are rapidly digitizing, Excel's versatility makes it indispensable for professionals handling complex calculations, regulatory reporting, and client data management. Its widespread adoption across India's financial hubs ensures that proficiency in **MS Excel** is not just a skill but a fundamental requirement for roles in fund administration, risk assessment, and financial analysis. The tool's ability to integrate with other systems like SQL databases and automation tools like VBA further enhances its relevance, enabling seamless data processing and reporting. As India continues to grow as a global financial services hub, mastery of **MS Excel** empowers professionals to drive accuracy, compliance, and innovation in processes such as NAV calculations, audit support, and shareholder servicing, making it a critical asset for career advancement and organizational success.",{"title":631,"content":632},"Top Industries & Locations","In India, **MS Excel** is in high demand across key industries and metropolitan areas. Top industries leveraging this skill include **financial services - fund administration**, **financial services**, **insurance**, and **fund administration and financial services**, where it supports tasks like financial transaction processing, regulatory compliance, and audit requirements. Major locations driving this demand are **Bengaluru**, **Navi Mumbai**, **Mumbai**, **Pune**, **Noida**, and **Hyderabad**, all thriving hubs for financial and IT services. For instance, in **Mumbai**, India's financial capital, **MS Excel** is essential for roles in **Asset Management** and **Banking**, facilitating data analysis and reporting. Similarly, **Bengaluru**'s tech-driven ecosystem relies on Excel for integrating with tools like SQL and automation projects, ensuring efficient fund administration and client service management. These locations offer abundant opportunities for professionals skilled in **MS Excel**, particularly in industries focused on process improvement and financial modeling.",{"title":634,"content":635},"In-Demand Skills & Employers","Top companies in India, such as **Apex Fund Services LLP**, **Allianz Insurance**, **CO_AFSLGO Apex Fund Services Holdings Ltd.**, and **CO_SANFPL Apex Fund & Corporate Services SA (Pty) Ltd**, heavily rely on **MS Excel** for core operations. These employers seek professionals with expertise in areas like **fund administration**, **financial statement preparation**, **risk management**, **regulatory compliance**, and **process improvement**, where Excel is used for tasks such as NAV calculations, cash reconciliation, and audit support. Additionally, skills in **financial analysis**, **project management**, and **risk assessment** are often paired with **MS Excel** proficiency to enhance data-driven decision-making. For example, in roles involving **Financial Modeling** or **Portfolio Management**, Excel's functions for data mining and analytics are critical. Companies value candidates who can leverage Excel alongside other tools like **SQL** and **VBA** to automate processes and improve efficiency in financial services, making it a key requirement for competitive roles in India's job market.",{"title":637,"content":638},"Career & Development","Career paths in India for **MS Excel** professionals often start in entry-level roles like financial analyst or fund administrator, progressing to senior positions in **Financial Analysis**, **Risk Management**, or **Project Management**. To learn and advance, focus on mastering Excel's advanced features, such as pivot tables, macros, and integration with **SQL** for data querying. Pairing Excel with **TOP RELATED IT SKILLS** like **VBA** for automation, **MS PowerPoint** for reporting, and data analytics tools can boost employability. Relevant **TOP RELATED EXPERTISE** includes **process automation**, **financial modeling**, and **audit management**, which are enhanced by Excel proficiency. In India, online courses, certifications (e.g., Microsoft Office Specialist), and hands-on experience in internships or projects are effective ways to develop skills. Networking in hubs like **Mumbai** or **Bengaluru** and staying updated on industry trends in **Asset Management** or **Banking** can open doors to roles requiring Excel for tasks like investor reporting and regulatory compliance, ensuring long-term career growth in the financial sector.","skill:ms-excel:in","2026-08-17T09:01:19.307539+02:00",{"industry":642,"employment_type":702,"expertise_skills":709,"it_skills":778,"salary_currency":853,"processed_working_hours":864},[643,647,651,655,659,663,667,671,675,678,681,684,687,690,693,696,699],{"key":644,"label":645,"count":646},"financial services","Financial Services",178,{"key":648,"label":649,"count":650},"financial markets infrastructure","Financial Markets Infrastructure",24,{"key":652,"label":653,"count":654},"insurance","Insurance",21,{"key":656,"label":657,"count":658},"asset management","Asset Management",19,{"key":660,"label":661,"count":662},"data provider","Data Provider",18,{"key":664,"label":665,"count":666},"banking","Banking",12,{"key":668,"label":669,"count":670},"data","Data",7,{"key":672,"label":673,"count":674},"fund administration","Fund Administration",5,{"key":676,"label":677,"count":28},"investment banking","Investment Banking",{"key":679,"label":680,"count":28},"alternative investments","Alternative Investments",{"key":682,"label":683,"count":28},"fleet management","Fleet Management",{"key":685,"label":686,"count":79},"vehicle leasing","Vehicle Leasing",{"key":688,"label":689,"count":79},"real estate","Real Estate",{"key":691,"label":692,"count":79},"middle office","Middle Office",{"key":694,"label":695,"count":64},"financial market infrastructure","Financial Market Infrastructure",{"key":697,"label":698,"count":64},"automotive finance","Automotive Finance",{"key":700,"label":701,"count":64},"alternative asset management","Alternative Asset Management",[703,706],{"key":26,"label":704,"count":705},"PERMANENT",243,{"key":707,"label":708,"count":28},"temporary","TEMPORARY",[710,713,717,720,723,726,729,732,735,737,739,741,743,746,749,752,755,759,761,765,767,770,772,775],{"key":711,"label":229,"slug":711,"count":712},"process-improvement",64,{"key":714,"label":715,"slug":714,"count":716},"project-management","Project management",45,{"key":718,"label":415,"slug":718,"count":719},"financial-reporting",42,{"key":721,"label":498,"slug":721,"count":722},"data-analysis",34,{"key":724,"label":188,"slug":724,"count":725},"risk-management",32,{"key":727,"label":462,"slug":727,"count":728},"regulatory-compliance",30,{"key":730,"label":225,"slug":730,"count":731},"accounting",26,{"key":733,"label":287,"slug":733,"count":734},"financial-modeling",25,{"key":736,"label":372,"slug":736,"count":654},"financial-analysis",{"key":738,"label":53,"slug":738,"count":654},"reconciliation",{"key":740,"label":532,"slug":740,"count":654},"compliance",{"key":742,"label":562,"slug":742,"count":662},"credit-analysis",{"key":744,"label":420,"slug":744,"count":745},"regulatory-reporting",17,{"key":747,"label":463,"slug":747,"count":748},"audit-support",16,{"key":750,"label":533,"slug":750,"count":751},"risk-assessment",15,{"key":753,"label":754,"slug":753,"count":751},"vendor-management","Vendor Management",{"key":756,"label":757,"slug":756,"count":758},"governance","Governance",14,{"key":760,"label":482,"slug":760,"count":758},"data-management",{"key":762,"label":763,"slug":762,"count":764},"quality-assurance","Quality Assurance",13,{"key":766,"label":191,"slug":766,"count":764},"reporting",{"key":768,"label":769,"slug":768,"count":666},"us-gaap","Us Gaap",{"key":771,"label":424,"slug":771,"count":666},"automation",{"key":773,"label":774,"slug":773,"count":666},"stakeholder-management","Stakeholder Management",{"key":776,"label":777,"slug":776,"count":666},"root-cause-analysis","Root Cause Analysis",[779,781,784,787,791,794,797,800,804,807,809,811,814,818,822,825,828,831,834,837,840,844,847,850],{"key":780,"label":37,"slug":780,"count":4},"ms-excel",{"key":782,"label":35,"slug":782,"count":783},"ms-powerpoint",98,{"key":785,"label":36,"slug":785,"count":786},"ms-word",86,{"key":788,"label":789,"slug":788,"count":790},"ai-tools","Ai Tools",51,{"key":792,"label":793,"slug":792,"count":719},"ms-powerbi","MS PowerBI",{"key":795,"label":245,"slug":795,"count":796},"sql",41,{"key":798,"label":244,"slug":798,"count":799},"python",39,{"key":801,"label":802,"slug":801,"count":803},"ms-outlook","MS Outlook",23,{"key":805,"label":806,"slug":805,"count":654},"vba","Vba",{"key":808,"label":249,"slug":808,"count":662},"tableau",{"key":810,"label":554,"slug":810,"count":751},"bloomberg",{"key":812,"label":813,"slug":812,"count":764},"ms-office","MS Office",{"key":815,"label":816,"slug":815,"count":817},"sap","Sap",9,{"key":819,"label":820,"slug":819,"count":821},"oracle","Oracle",8,{"key":823,"label":824,"slug":823,"count":821},"sharepoint","Sharepoint",{"key":826,"label":827,"slug":826,"count":821},"workday","Workday",{"key":829,"label":830,"slug":829,"count":670},"alteryx","Alteryx",{"key":832,"label":833,"slug":832,"count":670},"ms-azure","MS Azure",{"key":835,"label":836,"slug":835,"count":670},"ms-access","MS Access",{"key":838,"label":839,"slug":838,"count":670},"reporting-tools","Reporting Tools",{"key":841,"label":842,"slug":841,"count":843},"r","R",6,{"key":845,"label":846,"slug":845,"count":843},"jira","Jira",{"key":848,"label":849,"slug":848,"count":843},"automation-tools","Automation Tools",{"key":851,"label":852,"slug":851,"count":843},"servicenow","Servicenow",[854,856,858,860,862],{"key":22,"label":22,"count":855},205,{"key":110,"label":110,"count":857},31,{"key":859,"label":859,"count":758},"EUR",{"key":861,"label":861,"count":674},"GBP",{"key":863,"label":863,"count":64},"HKD",[865],{"key":25,"label":25,"count":4},{"total":867,"jobs":868},0,[]]