[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-business-intelligence-in":3,"job-search-\u002Fde-in\u002Fjobs-by-expertise\u002Fbusiness-intelligence":8,"expertise-filters-\u002Fde-in\u002Fjobs-by-expertise\u002Fbusiness-intelligence":526,"featured-jobs-\u002Fde-in\u002Fjobs-by-expertise\u002Fbusiness-intelligence":663},{"image_path":4,"content_de":5,"content_en":5,"composite_key":6,"last_updated":7},"\u002Fimages\u002Fexpertise\u002Fbusiness-intelligence.webp",null,"expertise:business-intelligence:in","2026-08-17T09:11:37.504664+02:00",{"total":9,"jobs":10},15,[11,92,143,158,189,211,256,314,345,369,394,416,431,475,493],{"id":12,"slug":13,"title":14,"raw_title":5,"is_featured":15,"company":16,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":19,"processed_country_iso_code_gmaps":21,"processed_home_office":23,"processed_salary_min":24,"processed_salary_max":25,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":28,"processed_employment_types":30,"processed_it_skills":31,"processed_it_skills_labels":34,"processed_job_expertise_skills":54,"processed_job_expertise_skills_labels":55,"max_cpc":91,"actual_cpc":91},88251,"associate-director-cyber-security-ai-data-science-tiaa-global-capabilities-private-limited","Associate Director - Cyber Security (AI & Data Science)",false,{"name":17,"slug":18,"logo_url":5},"TIAA Global Capabilities Private Limited","tiaa-global-capabilities-private-limited",[20],"Pune",[22],"IN","onsite",150000,250000,"USD","estimated",[29],"FULL_TIME","permanent",{"dlp":32,"edr":32,"grc":32,"iam":32,"rag":32,"sql":32,"cspm":32,"llms":33,"siem":32,"soar":32,"python":32,"ai apis":32,"devsecops":32,"statistics":32,"generative ai":33,"cloud platforms":32,"machine learning":33,"data visualization":32,"predictive modeling":32},3,4,[35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53],"Python","SQL","Machine Learning","Generative AI","LLMs","RAG","AI APIs","Cloud Platforms","SIEM","SOAR","IAM","DLP","EDR","CSPM","GRC","DevSecOps","Data Visualization","Predictive Modeling","Statistics",{"grc":33,"sox":33,"ccpa":33,"gdpr":33,"itgc":33,"soc 2":33,"pci dss":33,"iso 27001":33,"ai security":33,"nist ai rmf":33,"ai governance":33,"cybersecurity":33,"ai red teaming":32,"cloud security":33,"data analytics":32,"model security":33,"soc operations":33,"risk management":33,"data engineering":32,"threat detection":33,"incident response":33,"ai risk assessment":33,"adversarial testing":32,"security automation":33,"application security":33,"data loss prevention":33,"information security":33,"security engineering":33,"business intelligence":32,"regulatory frameworks":33,"security architecture":33,"zero trust architecture":33,"vulnerability management":33,"third-party risk management":33,"nist cybersecurity framework":33,"identity and access management":33},[56,57,58,59,60,61,62,63,64,65,66,67,49,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90],"Cybersecurity","Information Security","AI Security","Security Engineering","Zero Trust Architecture","AI Governance","Risk Management","Security Architecture","SOC Operations","Identity and Access Management","Application Security","Cloud Security","Threat Detection","Incident Response","Vulnerability Management","Data Loss Prevention","Third-Party Risk Management","Security Automation","AI Red Teaming","Adversarial Testing","Model Security","AI Risk Assessment","Regulatory Frameworks","NIST Cybersecurity Framework","NIST AI RMF","ISO 27001","SOC 2","GDPR","CCPA","PCI DSS","SOX","ITGC","Data Engineering","Business Intelligence","Data Analytics",1,{"id":93,"slug":94,"title":95,"raw_title":5,"is_featured":15,"company":96,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":99,"processed_country_iso_code_gmaps":101,"processed_home_office":23,"processed_salary_min":102,"processed_salary_max":103,"processed_salary_currency":104,"processed_salary_source":27,"processed_working_hours":105,"processed_employment_types":30,"processed_it_skills":106,"processed_it_skills_labels":107,"processed_job_expertise_skills":119,"processed_job_expertise_skills_labels":120,"max_cpc":91,"actual_cpc":91},88181,"ind-lead-engineer-data-hartford-global-services-private-limited-3","IND Lead Engineer, Data",{"name":97,"slug":98,"logo_url":5},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[100],"Hyderabad",[22],2500000,4000000,"INR",[29],{"git":32,"sql":33,"unix":32,"numpy":33,"pandas":33,"python":33,"pytorch":32,"tensorflow":32,"aws bedrock":32,"scikit-learn":33,"aws sagemaker":32,"google vertex ai":32,"azure ai services":32},[35,36,108,109,110,111,112,113,114,115,116,117,118],"pandas","NumPy","scikit-learn","PyTorch","TensorFlow","Git","Unix","Google Vertex AI","AWS SageMaker","AWS Bedrock","Azure AI Services",{"ocr":32,"data lake":33,"a\u002Fb testing":33,"ai governance":33,"deep learning":33,"pii detection":33,"drift detection":33,"data warehousing":33,"document parsing":33,"knowledge graphs":33,"machine learning":33,"model evaluation":33,"model monitoring":33,"conversational ai":33,"cloud ai platforms":33,"prompt engineering":33,"text normalization":33,"dimensional modeling":33,"statistical modeling":33,"business intelligence":33,"synthetic data generation":33,"insurance domain knowledge":32,"natural language processing":33,"unstructured data processing":33,"retrieval-augmented generation":33},[121,37,122,123,89,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,61,140,141,142],"Statistical Modeling","Deep Learning","Natural Language Processing","Dimensional Modeling","Data Warehousing","Data Lake","Model Evaluation","Model Monitoring","A\u002FB Testing","Drift Detection","Conversational AI","Retrieval-Augmented Generation","Unstructured Data Processing","Document Parsing","OCR","Text Normalization","PII Detection","Cloud AI Platforms","Insurance Domain Knowledge","Prompt Engineering","Knowledge Graphs","Synthetic Data Generation",{"id":144,"slug":145,"title":95,"raw_title":5,"is_featured":15,"company":146,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":147,"processed_country_iso_code_gmaps":148,"processed_home_office":149,"processed_salary_min":150,"processed_salary_max":151,"processed_salary_currency":104,"processed_salary_source":27,"processed_working_hours":152,"processed_employment_types":30,"processed_it_skills":153,"processed_it_skills_labels":154,"processed_job_expertise_skills":155,"processed_job_expertise_skills_labels":156,"max_cpc":91,"actual_cpc":91},88179,"ind-lead-engineer-data-hartford-global-services-private-limited-2",{"name":97,"slug":98,"logo_url":5},[100],[22],"hybrid",3000000,5000000,[29],{"git":32,"sql":33,"unix":32,"numpy":33,"pandas":33,"python":33,"pytorch":32,"tensorflow":32,"aws bedrock":32,"scikit-learn":33,"aws sagemaker":32,"google vertex ai":32,"azure ai services":32},[35,36,108,109,110,111,112,113,114,115,116,117,118],{"ocr":32,"data lake":33,"a\u002Fb testing":33,"ai governance":32,"deep learning":33,"generative ai":33,"pii detection":32,"data warehouse":33,"drift detection":33,"knowledge graphs":32,"machine learning":33,"conversational ai":33,"prompt engineering":33,"dimensional modeling":33,"statistical modeling":33,"business intelligence":33,"insurance domain knowledge":32,"natural language processing":33,"unstructured data processing":33,"retrieval-augmented generation":33},[121,37,122,123,89,124,157,126,129,130,131,132,133,135,137,139,38,140,141,61],"Data Warehouse",{"id":159,"slug":160,"title":161,"raw_title":5,"is_featured":15,"company":162,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":165,"processed_country_iso_code_gmaps":166,"processed_home_office":149,"processed_salary_min":167,"processed_salary_max":102,"processed_salary_currency":104,"processed_salary_source":27,"processed_working_hours":168,"processed_employment_types":30,"processed_it_skills":169,"processed_it_skills_labels":170,"processed_job_expertise_skills":172,"processed_job_expertise_skills_labels":173,"max_cpc":91,"actual_cpc":91},84436,"sr-ba-ii-invesco-india-private-limited-sez-unit","Sr. BA II",{"name":163,"slug":164,"logo_url":5},"Invesco (India) Private Limited - SEZ Unit","invesco-india-private-limited-sez-unit",[100],[22],1500000,[29],{"sql":33,"python":33,"microsoft office":32},[36,35,171],"Microsoft Office",{"agile":32,"data risk":32,"data analysis":33,"data modeling":32,"data lifecycle":32,"data governance":32,"asset management":33,"business analysis":33,"financial services":33,"project management":32,"process improvement":32,"business intelligence":32,"investment management":33,"master data management":32,"requirements gathering":33,"user acceptance testing":32},[174,175,176,177,178,179,89,180,181,182,183,184,185,186,187,188],"Business Analysis","Data Analysis","Requirements Gathering","Data Governance","Data Modeling","Master Data Management","Agile","Project Management","Investment Management","Asset Management","Financial Services","User Acceptance Testing","Process Improvement","Data Lifecycle","Data Risk",{"id":190,"slug":191,"title":192,"raw_title":5,"is_featured":15,"company":193,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":194,"processed_country_iso_code_gmaps":196,"processed_home_office":23,"processed_salary_min":197,"processed_salary_max":198,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":199,"processed_employment_types":30,"processed_it_skills":200,"processed_it_skills_labels":201,"processed_job_expertise_skills":208,"processed_job_expertise_skills_labels":209,"max_cpc":91,"actual_cpc":91},88244,"associate-performance-analytics-tiaa-global-capabilities-private-limited","Associate - Performance & Analytics",{"name":17,"slug":18,"logo_url":5},[195],"Mumbai",[22],60000,90000,[29],{"r":32,"sql":32,"excel":32,"python":32,"tableau":32,"power bi":32,"statistical software":32,"data visualization tools":32},[35,36,202,203,204,205,206,207],"R","Tableau","Power BI","Excel","Data Visualization Tools","Statistical Software",{"statistics":33,"data mining":33,"data analytics":33,"data engineering":32,"project management":32,"predictive modeling":33,"statistical modeling":33,"business intelligence":33},[90,121,52,210,88,89,53,181],"Data Mining",{"id":212,"slug":213,"title":214,"raw_title":5,"is_featured":15,"company":215,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":218,"processed_country_iso_code_gmaps":219,"processed_home_office":149,"processed_salary_min":220,"processed_salary_max":221,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":222,"processed_employment_types":30,"processed_it_skills":223,"processed_it_skills_labels":224,"processed_job_expertise_skills":238,"processed_job_expertise_skills_labels":239,"max_cpc":91,"actual_cpc":91},69144,"senior-data-solutions-engineer-finance-technology-ares-operations-india-private-limited","Senior Data Solutions Engineer, Finance Technology",{"name":216,"slug":217,"logo_url":5},"Ares Operations India Private Limited","ares-operations-india-private-limited",[195],[22],120000,180000,[29],{"git":32,"apis":32,"json":32,"ci\u002Fcd":32,"spark":32,"python":33,"etl\u002Felt":33,"pyspark":33,"databricks":33,"delta lake":32,"sql server":33,"azure devops":32,"data modeling":33,"microsoft fabric":32,"azure data factory":32,"azure data lake storage":32},[225,226,35,227,228,113,229,230,231,232,233,234,235,178,236,237],"SQL Server","Databricks","PySpark","APIs","Azure Data Factory","Azure Data Lake Storage","Azure DevOps","Microsoft Fabric","JSON","CI\u002FCD","ETL\u002FELT","Spark","Delta Lake",{"accounting":32,"auditability":32,"data lineage":32,"data quality":33,"reconciliation":33,"data governance":32,"fund accounting":33,"asset management":32,"data engineering":33,"data integration":33,"automated testing":32,"stored procedures":33,"financial services":33,"performance tuning":33,"metadata management":32,"deployment pipelines":32,"financial technology":33,"secure file transfer":32,"business intelligence":32,"investment operations":32,"master data management":32,"data product management":32},[240,88,241,242,243,177,244,89,184,183,245,246,247,248,249,179,250,251,252,253,254,255],"Fund Accounting","Financial Technology","Data Quality","Reconciliation","Data Product Management","Investment Operations","Accounting","Data Integration","Data Lineage","Metadata Management","Auditability","Performance Tuning","Stored Procedures","Automated Testing","Deployment Pipelines","Secure File Transfer",{"id":257,"slug":258,"title":259,"raw_title":5,"is_featured":15,"company":260,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":261,"processed_country_iso_code_gmaps":262,"processed_home_office":149,"processed_salary_min":102,"processed_salary_max":103,"processed_salary_currency":104,"processed_salary_source":27,"processed_working_hours":263,"processed_employment_types":30,"processed_it_skills":264,"processed_it_skills_labels":265,"processed_job_expertise_skills":300,"processed_job_expertise_skills_labels":301,"max_cpc":91,"actual_cpc":91},78821,"ind-senior-engineer-data-hartford-global-services-private-limited","IND Senior Engineer, Data",{"name":97,"slug":98,"logo_url":5},[100],[22],[29],{"a2a":33,"aws":33,"mcp":33,"rdf":33,"sql":33,"azure":33,"ci\u002Fcd":33,"neo4j":33,"nosql":33,"spark":33,"aws s3":33,"cypher":33,"docker":33,"python":33,"sparql":33,"aws ec2":33,"mongodb":33,"pytorch":32,"big data":33,"dynamodb":33,"data lake":33,"data mesh":33,"langchain":33,"langgraph":33,"snowflake":33,"aws lambda":33,"kubernetes":33,"tensorflow":32,"aws kinesis":33,"data fabric":33,"apache kafka":33,"document dbs":33,"etl\u002Felt tools":33,"gcp vertex ai":33,"spanner graph":33,"amazon neptune":33,"aws opensearch":33,"graph databases":33,"spark streaming":33,"vector databases":33,"google cloud platform":33},[266,267,268,36,269,270,271,234,272,273,274,275,35,236,276,126,277,278,279,111,112,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299],"Apache Kafka","AWS Kinesis","Spark Streaming","NoSQL","Snowflake","ETL\u002FELT tools","Big Data","AWS","Google Cloud Platform","Azure","Data Mesh","Data Fabric","Docker","Kubernetes","Vector Databases","Graph Databases","Document DBs","AWS OpenSearch","GCP Vertex AI","Neo4j","Spanner Graph","Amazon Neptune","MongoDB","DynamoDB","AWS Lambda","AWS S3","AWS EC2","LangChain","LangGraph","MCP","A2A","Cypher","SPARQL","RDF",{"devops":33,"data lakes":33,"data domains":33,"data lineage":33,"data quality":33,"scaled agile":33,"data products":33,"generative ai":33,"data catalogue":33,"data governance":33,"cloud technology":33,"data engineering":33,"data integration":33,"data warehousing":33,"knowledge graphs":33,"data architecture":33,"semantic modeling":33,"prompt engineering":33,"business intelligence":33,"reliability engineering":33,"synthetic data generation":33,"ai-driven data engineering":33,"insurance domain knowledge":32,"retrieval-augmented generation (rag)":33},[88,302,125,247,303,304,305,89,306,38,307,140,308,141,142,177,242,248,309,310,311,312,313,139],"Data Architecture","Data Lakes","Data Domains","Data Products","Cloud Technology","Retrieval-Augmented Generation (RAG)","Semantic Modeling","Data Catalogue","AI-driven Data Engineering","DevOps","Reliability Engineering","Scaled Agile",{"id":315,"slug":316,"title":317,"raw_title":5,"is_featured":15,"company":318,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":322,"processed_country_iso_code_gmaps":324,"processed_home_office":23,"processed_salary_min":325,"processed_salary_max":326,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":327,"processed_employment_types":30,"processed_it_skills":328,"processed_it_skills_labels":329,"processed_job_expertise_skills":332,"processed_job_expertise_skills_labels":333,"max_cpc":91,"actual_cpc":91},87993,"analyst-hr-apex-fund-services-llp","Analyst - HR",{"name":319,"slug":320,"logo_url":321},"Apex Fund Services LLP","apex-fund-services-llp","https:\u002F\u002Fwww.apexgroup.com\u002Fmedia\u002Fl05krqrh\u002Fapex-logo.svg",[323],"Karnataka",[22],50000,70000,[29],{"workday":32,"power bi":32,"microsoft excel":33},[330,204,331],"Microsoft Excel","Workday",{"hris":32,"automation":32,"hr analytics":33,"hr reporting":33,"data cleansing":33,"data validation":33,"hr data governance":32,"workforce planning":32,"data reconciliation":33,"process improvement":32,"business intelligence":32,"data quality assurance":33,"organisational analytics":32},[334,335,336,89,337,338,339,340,341,342,343,186,344],"HR Analytics","HR Reporting","HRIS","Data Validation","Data Cleansing","Data Reconciliation","Data Quality Assurance","Workforce Planning","Organisational Analytics","HR Data Governance","Automation",{"id":346,"slug":347,"title":95,"raw_title":5,"is_featured":15,"company":348,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":349,"processed_country_iso_code_gmaps":350,"processed_home_office":149,"processed_salary_min":150,"processed_salary_max":151,"processed_salary_currency":104,"processed_salary_source":27,"processed_working_hours":351,"processed_employment_types":30,"processed_it_skills":352,"processed_it_skills_labels":353,"processed_job_expertise_skills":356,"processed_job_expertise_skills_labels":357,"max_cpc":91,"actual_cpc":91},78805,"ind-lead-engineer-data-hartford-global-services-private-limited",{"name":97,"slug":98,"logo_url":5},[100],[22],[29],{"a2a":33,"mcp":33,"rdf":33,"sql":33,"ci\u002Fcd":33,"neo4j":33,"nosql":33,"aws s3":33,"cypher":33,"docker":33,"python":33,"sparql":33,"aws ec2":33,"mongodb":33,"pytorch":32,"big data":33,"dynamodb":33,"langchain":33,"langgraph":33,"snowflake":33,"aws lambda":33,"kubernetes":33,"tensorflow":32,"aws kinesis":33,"apache kafka":33,"apache spark":33,"etl\u002Felt tools":33,"gcp vertex ai":33,"spanner graph":33,"amazon neptune":33,"aws opensearch":33,"graph databases":33,"vector databases":33,"cloud technologies (aws\u002Fgcp\u002Fazure)":33},[35,36,269,270,271,234,272,354,355,266,267,278,279,111,112,280,281,285,287,288,289,290,291,292,293,294,295,296,297,298,299,283,284,286],"Cloud Technologies (AWS\u002FGCP\u002FAzure)","Apache Spark",{"ai\u002Fml":33,"devops":33,"alerting":33,"analytics":33,"data mesh":33,"data lakes":33,"monitoring":33,"redundancy":33,"data fabric":33,"data catalog":33,"data domains":33,"data lineage":33,"data quality":33,"scaled agile":33,"data products":33,"generative ai":33,"data governance":33,"fault tolerance":33,"data engineering":33,"data integration":33,"data warehousing":33,"knowledge graphs":33,"agentic solutions":33,"data architecture":33,"disaster recovery":33,"semantic modeling":33,"prompt engineering":33,"incident management":33,"business intelligence":33,"reliability engineering":33,"real-time data streaming":33,"synthetic data generation":33,"insurance domain knowledge":32,"unstructured data processing":33,"retrieval-augmented generation (rag)":33},[88,302,125,247,303,304,305,89,177,242,248,358,38,307,140,308,141,142,359,313,311,312,360,361,362,363,364,365,276,277,133,366,367,368,139],"Data Catalog","Agentic Solutions","Disaster Recovery","Fault Tolerance","Redundancy","Monitoring","Alerting","Incident Management","Real-Time Data Streaming","AI\u002FML","Analytics",{"id":370,"slug":371,"title":372,"raw_title":5,"is_featured":15,"company":373,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":376,"processed_country_iso_code_gmaps":378,"processed_home_office":23,"processed_salary_min":379,"processed_salary_max":220,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":380,"processed_employment_types":30,"processed_it_skills":381,"processed_it_skills_labels":383,"processed_job_expertise_skills":389,"processed_job_expertise_skills_labels":390,"max_cpc":91,"actual_cpc":91},61463,"assistant-vice-president-business-intelligence-mufg-global-service-private-limited","Assistant Vice President-BUSINESS INTELLIGENCE",{"name":374,"slug":375,"logo_url":5},"MUFG Global Service Private Limited","mufg-global-service-private-limited",[377],"Bengaluru",[22],80000,[29],{"dax":33,"python":382,"power bi":33,"power apps":33,"sharepoint":32,"power automate":33,"microsoft copilot":32},2,[204,384,385,386,387,35,388],"DAX","Power Apps","Power Automate","Microsoft Copilot","SharePoint",{"data analysis":33,"data modeling":33,"dashboard design":33,"solution delivery":33,"business intelligence":33,"requirements gathering":33,"ai solution development":32,"user acceptance testing":32},[175,89,178,391,176,392,393,185],"Dashboard Design","Solution Delivery","AI Solution Development",{"id":395,"slug":396,"title":397,"raw_title":5,"is_featured":15,"company":398,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":399,"processed_country_iso_code_gmaps":400,"processed_home_office":149,"processed_salary_min":197,"processed_salary_max":198,"processed_salary_currency":104,"processed_salary_source":27,"processed_working_hours":401,"processed_employment_types":30,"processed_it_skills":402,"processed_it_skills_labels":403,"processed_job_expertise_skills":410,"processed_job_expertise_skills_labels":411,"max_cpc":91,"actual_cpc":91},61491,"vice-president-professional-practices-internal-audit-mufg-global-service-private-limited","Vice President - Professional Practices, Internal Audit",{"name":374,"slug":375,"logo_url":5},[377],[22],[29],{"sql":32,"python":32,"alteryx":32,"tableau":33,"power bi":33,"qlikview":32,"business objects":32,"data visualization":33,"ai\u002Fmachine learning":32,"big data technologies":32,"oracle business intelligence":32},[203,204,404,405,406,407,35,36,408,51,409],"QlikView","Oracle Business Intelligence","Business Objects","Alteryx","AI\u002FMachine Learning","Big Data Technologies",{"data mining":32,"data lineage":32,"data analytics":33,"internal audit":32,"audit reporting":32,"data governance":32,"risk management":32,"change management":32,"financial services":32,"metadata management":32,"predictive modeling":32,"business intelligence":33,"management information reporting":32},[89,90,210,52,177,248,249,412,62,184,413,414,415],"Audit Reporting","Internal Audit","Management Information Reporting","Change Management",{"id":417,"slug":418,"title":419,"raw_title":5,"is_featured":15,"company":420,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":421,"processed_country_iso_code_gmaps":422,"processed_home_office":23,"processed_salary_min":198,"processed_salary_max":220,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":423,"processed_employment_types":30,"processed_it_skills":424,"processed_it_skills_labels":425,"processed_job_expertise_skills":426,"processed_job_expertise_skills_labels":427,"max_cpc":91,"actual_cpc":91},61482,"manager-business-intelligence-mufg-global-service-private-limited","Manager-BUSINESS INTELLIGENCE",{"name":374,"slug":375,"logo_url":5},[377],[22],[29],{"dax":33,"python":382,"power bi":33,"power apps":33,"sharepoint":32,"data modeling":33,"power automate":33,"microsoft copilot":33,"data visualization":33},[204,384,385,386,388,387,35,178,51],{"governance":32,"ai enablement":33,"data analysis":33,"solution delivery":33,"process automation":33,"business intelligence":33,"requirements gathering":33,"user acceptance testing":32},[89,175,176,392,185,428,429,430],"AI Enablement","Process Automation","Governance",{"id":432,"slug":433,"title":434,"raw_title":5,"is_featured":15,"company":435,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":438,"processed_country_iso_code_gmaps":439,"processed_home_office":23,"processed_salary_min":440,"processed_salary_max":24,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":441,"processed_employment_types":30,"processed_it_skills":442,"processed_it_skills_labels":443,"processed_job_expertise_skills":465,"processed_job_expertise_skills_labels":466,"max_cpc":91,"actual_cpc":91},62792,"head-of-application-policy-servicing-pluk-ptsi-prudential-technology-and-services-india-private-limited","Head of Application - Policy Servicing (PLUK)",{"name":436,"slug":437,"logo_url":5},"Prudential Technology and Services India Private Limited","prudential-technology-and-services-india-private-limited",[],[22],100000,[29],{"jira":32,"rest":32,"soap":32,"mysql":32,"graphql":32,"jenkins":32,"mongodb":32,"postman":32,"reactjs":33,"couchbase":32,"bit bucket":32,"confluence":32,"azure devops":33,"react native":33,"visual studio":32,"azure ms sql paas":32,"azure data factory":32,"visual studio code":32,"azure cloud services":33,"microsoft sql server":32,"service bus explorer":32,"azure storage explorer":32,"azure kubernetes service":32,"sql server management studio":32},[444,445,446,231,447,448,449,450,288,451,229,452,453,454,455,456,457,458,459,460,461,462,463,464],"ReactJS","React Native","Jenkins","REST","SOAP","GraphQL","Microsoft SQL Server","Azure MS SQL PaaS","MySQL","Couchbase","Visual Studio","Visual Studio Code","SQL Server Management Studio","Service Bus Explorer","Azure Storage Explorer","Postman","Jira","Confluence","Bit Bucket","Azure Kubernetes Service","Azure Cloud Services",{"waterfall":32,"automation":33,"business analysis":33,"project management":33,"architecture design":33,"business intelligence":32,"digital transformation":33,"agile (devops or scrum)":33,"life insurance business":32,"technical documentation":33,"business process modeling":32,"software development life cycle (sdlc)":33},[467,468,469,470,471,472,473,174,89,181,474,344],"Software Development Life Cycle (SDLC)","Waterfall","Agile (DevOps or Scrum)","Life Insurance Business","Architecture Design","Business Process Modeling","Technical Documentation","Digital Transformation",{"id":476,"slug":477,"title":478,"raw_title":5,"is_featured":15,"company":479,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":480,"processed_country_iso_code_gmaps":481,"processed_home_office":23,"processed_salary_min":197,"processed_salary_max":198,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":482,"processed_employment_types":30,"processed_it_skills":483,"processed_it_skills_labels":484,"processed_job_expertise_skills":485,"processed_job_expertise_skills_labels":486,"max_cpc":91,"actual_cpc":91},62795,"ptsi-business-intelligence-analyst-ptsi-prudential-technology-and-services-india-private-limited","PTSI | Business Intelligence Analyst",{"name":436,"slug":437,"logo_url":5},[],[22],[29],{"sql":32,"excel":33,"python":32,"power bi":33},[204,205,36,35],{"benchmarking":32,"data quality":33,"data analytics":33,"trend analysis":32,"data engineering":32,"scenario modelling":32,"financial analytics":33,"workforce analytics":33,"business intelligence":33,"strategic workforce planning":32},[90,89,88,242,487,488,489,490,491,492],"Workforce Analytics","Financial Analytics","Benchmarking","Trend Analysis","Scenario Modelling","Strategic Workforce Planning",{"id":494,"slug":495,"title":496,"raw_title":5,"is_featured":15,"company":497,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":500,"processed_country_iso_code_gmaps":501,"processed_home_office":23,"processed_salary_min":502,"processed_salary_max":103,"processed_salary_currency":104,"processed_salary_source":27,"processed_working_hours":503,"processed_employment_types":30,"processed_it_skills":504,"processed_it_skills_labels":505,"processed_job_expertise_skills":511,"processed_job_expertise_skills_labels":512,"max_cpc":91,"actual_cpc":525},53350,"associate-cps-apollo-india-services-llp","Associate - CPS",{"name":498,"slug":499,"logo_url":5},"Apollo India Services LLP","apollo-india-services-llp",[195],[22],2000000,[29],{"sql":33,"alteryx":33,"ms word":33,"seismic":32,"tableau":33,"ms excel":33,"snowflake":33,"salesforce":32,"ms powerpoint":33},[203,36,270,407,506,507,508,509,510],"Seismic","Salesforce","MS Excel","MS PowerPoint","MS Word",{"data quality":33,"ai\u002Fml concepts":32,"data analytics":33,"data management":33,"kpi development":33,"credit knowledge":32,"roadmap planning":33,"change management":33,"product ownership":33,"data visualization":33,"project management":33,"user story writing":33,"requirement analysis":33,"business intelligence":33,"large language models":32,"real assets knowledge":32,"stakeholder management":33,"private equity knowledge":32},[90,89,513,514,242,51,515,516,181,415,517,518,519,520,521,522,523,524],"Product Ownership","Data Management","AI\u002FML Concepts","Large Language Models","Stakeholder Management","Requirement Analysis","User Story Writing","KPI Development","Roadmap Planning","Private Equity Knowledge","Credit Knowledge","Real Assets Knowledge",0.3,{"industry":527,"employment_type":537,"expertise_skills":540,"it_skills":594,"salary_currency":656,"processed_working_hours":661},[528,531,535],{"key":529,"label":184,"count":530},"financial services",9,{"key":532,"label":533,"count":534},"insurance","Insurance",6,{"key":536,"label":183,"count":91},"asset management",[538],{"key":30,"label":539,"count":9},"PERMANENT",[541,543,545,548,550,552,554,556,558,560,563,565,567,570,572,574,576,578,580,583,585,587,589,592],{"key":542,"label":89,"slug":542,"count":9},"business-intelligence",{"key":544,"label":88,"slug":544,"count":534},"data-engineering",{"key":546,"label":177,"slug":546,"count":547},"data-governance",5,{"key":549,"label":90,"slug":549,"count":547},"data-analytics",{"key":551,"label":242,"slug":551,"count":547},"data-quality",{"key":553,"label":140,"slug":553,"count":33},"prompt-engineering",{"key":555,"label":248,"slug":555,"count":33},"data-lineage",{"key":557,"label":141,"slug":557,"count":33},"knowledge-graphs",{"key":559,"label":139,"slug":559,"count":33},"insurance-domain-knowledge",{"key":561,"label":562,"slug":561,"count":33},"project-management","Project management",{"key":564,"label":176,"slug":564,"count":32},"requirements-gathering",{"key":566,"label":121,"slug":566,"count":32},"statistical-modeling",{"key":568,"label":569,"slug":568,"count":32},"generative-ai","Generative Ai",{"key":571,"label":184,"slug":571,"count":32},"financial-services",{"key":573,"label":125,"slug":573,"count":32},"data-warehousing",{"key":575,"label":247,"slug":575,"count":32},"data-integration",{"key":577,"label":133,"slug":577,"count":32},"unstructured-data-processing",{"key":579,"label":175,"slug":579,"count":32},"data-analysis",{"key":581,"label":582,"slug":581,"count":32},"ai-governance","Ai Governance",{"key":584,"label":185,"slug":584,"count":32},"user-acceptance-testing",{"key":586,"label":142,"slug":586,"count":32},"synthetic-data-generation",{"key":588,"label":313,"slug":588,"count":382},"scaled-agile",{"key":590,"label":591,"slug":590,"count":382},"retrieval-augmented-generation-rag","Retrieval-Augmented Generation (Rag)",{"key":593,"label":308,"slug":593,"count":382},"semantic-modeling",[595,598,601,604,607,610,612,615,617,620,622,624,627,629,632,634,636,639,641,644,646,648,651,654],{"key":596,"label":35,"slug":596,"count":597},"python",12,{"key":599,"label":36,"slug":599,"count":600},"sql",10,{"key":602,"label":603,"slug":602,"count":534},"ms-powerbi","MS PowerBI",{"key":605,"label":606,"slug":605,"count":33},"tensorflow","Tensorflow",{"key":608,"label":609,"slug":608,"count":33},"pytorch","Pytorch",{"key":611,"label":270,"slug":611,"count":32},"snowflake",{"key":613,"label":614,"slug":613,"count":32},"mongodb","Mongodb",{"key":616,"label":113,"slug":616,"count":32},"git",{"key":618,"label":619,"slug":618,"count":32},"cicd","Ci\u002FCd",{"key":621,"label":203,"slug":621,"count":32},"tableau",{"key":623,"label":51,"slug":623,"count":32},"data-visualization",{"key":625,"label":626,"slug":625,"count":382},"sharepoint","Sharepoint",{"key":628,"label":286,"slug":628,"count":382},"spanner-graph",{"key":630,"label":631,"slug":630,"count":382},"aws-s3","Aws S3",{"key":633,"label":272,"slug":633,"count":382},"big-data",{"key":635,"label":278,"slug":635,"count":382},"docker",{"key":637,"label":638,"slug":637,"count":382},"rdf","Rdf",{"key":640,"label":236,"slug":640,"count":382},"spark",{"key":642,"label":643,"slug":642,"count":382},"neo4j","Neo4J",{"key":108,"label":645,"slug":108,"count":382},"Pandas",{"key":647,"label":387,"slug":647,"count":382},"microsoft-copilot",{"key":649,"label":650,"slug":649,"count":382},"numpy","Numpy",{"key":652,"label":653,"slug":652,"count":382},"aws-kinesis","Aws Kinesis",{"key":655,"label":266,"slug":655,"count":382},"apache-kafka",[657,659],{"key":26,"label":26,"count":658},8,{"key":104,"label":104,"count":660},7,[662],{"key":29,"label":29,"count":9},{"total":664,"jobs":665},0,[]]