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testing":28,"people management":29,"project execution":29,"quality assurance":29,"test case writing":29,"agile methodologies":29,"performance testing":28},[106,53,58,107,108,55,61,109,110,111,112,113,114],"Quality Assurance","Test Case Writing","API Testing","Scrum","DevOps","Web CMS Testing","BDD","Project Execution","People Management",{"id":116,"slug":117,"title":118,"raw_title":10,"is_featured":11,"company":119,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":120,"processed_country_iso_code_gmaps":121,"processed_home_office":19,"processed_salary_min":122,"processed_salary_max":75,"processed_salary_currency":77,"processed_salary_source":23,"processed_working_hours":123,"processed_employment_types":26,"processed_it_skills":124,"processed_it_skills_labels":126,"processed_job_expertise_skills":132,"processed_job_expertise_skills_labels":133,"max_cpc":66,"actual_cpc":66},59788,"senior-qa-engineer-ind201-refinitiv-india-shared-services-private-limited","Senior QA 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testing",{"id":143,"slug":144,"title":145,"raw_title":10,"is_featured":11,"company":146,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":149,"processed_country_iso_code_gmaps":150,"processed_home_office":19,"processed_salary_min":75,"processed_salary_max":76,"processed_salary_currency":77,"processed_salary_source":23,"processed_working_hours":151,"processed_employment_types":26,"processed_it_skills":152,"processed_it_skills_labels":153,"processed_job_expertise_skills":165,"processed_job_expertise_skills_labels":166,"max_cpc":66,"actual_cpc":66},59786,"senior-lead-qa-engineer-ind200-refinitiv-india-private-limited","Senior Lead QA Engineer",{"name":147,"slug":148,"logo_url":10},"Refinitiv India Private Limited","refinitiv-india-private-limited",[73],[18],[25],{"aws":28,"sql":28,"java":29,"azure":28,"kafka":28,"linux":28,"nosql":28,"redis":28,"docker":28,"jmeter":29,"datadog":28,"gatling":29,"elk stack":28,"kubernetes":28,"cucumber-java":29,"shell scripting":28,"spring framework":28},[33,98,97,154,155,156,157,158,159,38,160,40,161,162,163,47,164],"Cucumber-java","Spring Framework","Kafka","Redis","ELK Stack","Datadog","NoSQL","Azure","Docker","Kubernetes","Shell Scripting",{"load testing":29,"soak testing":29,"agile process":28,"qa principles":29,"stress testing":29,"ci\u002Fcd pipelines":29,"rto\u002Frpo testing":28,"performance testing":29,"throughput analysis":29,"performance benchmarking":29,"database performance testing":28,"trading systems architecture":29,"non-functional requirements (nfr)":29},[55,167,168,169,170,171,172,173,174,175,176,177,178],"Soak Testing","Load Testing","Stress Testing","Throughput Analysis","Non-Functional Requirements (NFR)","Performance Benchmarking","Trading Systems Architecture","QA Principles","CI\u002FCD Pipelines","Agile Process","RTO\u002FRPO Testing","Database Performance Testing",{"id":180,"slug":181,"title":182,"raw_title":10,"is_featured":11,"company":183,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":186,"processed_country_iso_code_gmaps":188,"processed_home_office":19,"processed_salary_min":20,"processed_salary_max":189,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":190,"processed_employment_types":26,"processed_it_skills":191,"processed_it_skills_labels":192,"processed_job_expertise_skills":196,"processed_job_expertise_skills_labels":197,"max_cpc":66,"actual_cpc":66},53361,"cyber-mum-associate-apollo-india-services-llp","Cyber MUM Associate",{"name":184,"slug":185,"logo_url":10},"Apollo India Services LLP","apollo-india-services-llp",[187],"Mumbai",[18],4000000,[25],{"api":28,"sql":29,"scripting":28,"robotic process automation":125},[38,193,194,195],"API","Scripting","Robotic Process Automation",{"cybersecurity":29,"data analysis":28,"risk management":29,"process automation":28,"vulnerability management":28,"identity and access management":28,"compliance frameworks (sox, soc 1)":29},[198,199,200,201,202,203,204],"Cybersecurity","Risk Management","Compliance Frameworks (SOX, SOC 1)","Identity and Access Management","Vulnerability Management","Data Analysis","Process Automation",{"id":206,"slug":207,"title":208,"raw_title":10,"is_featured":11,"company":209,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":210,"processed_country_iso_code_gmaps":211,"processed_home_office":19,"processed_salary_min":20,"processed_salary_max":189,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":212,"processed_employment_types":26,"processed_it_skills":213,"processed_it_skills_labels":214,"processed_job_expertise_skills":223,"processed_job_expertise_skills_labels":224,"max_cpc":66,"actual_cpc":66},53350,"associate-cps-apollo-india-services-llp","Associate - CPS",{"name":184,"slug":185,"logo_url":10},[187],[18],[25],{"sql":29,"alteryx":29,"ms word":29,"seismic":28,"tableau":29,"ms excel":29,"snowflake":29,"salesforce":28,"ms powerpoint":29},[215,38,216,217,218,219,220,221,222],"Tableau","Snowflake","Alteryx","Seismic","Salesforce","MS Excel","MS PowerPoint","MS Word",{"data quality":29,"ai\u002Fml concepts":28,"data analytics":29,"data management":29,"kpi development":29,"credit knowledge":28,"roadmap planning":29,"change management":29,"product ownership":29,"data visualization":29,"project management":29,"user story writing":29,"requirement analysis":29,"business intelligence":29,"large language models":28,"real assets knowledge":28,"stakeholder management":29,"private equity knowledge":28},[225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242],"Data Analytics","Business Intelligence","Product Ownership","Data Management","Data Quality","Data Visualization","AI\u002FML Concepts","Large Language Models","Project Management","Change Management","Stakeholder Management","Requirement Analysis","User Story Writing","KPI Development","Roadmap Planning","Private Equity Knowledge","Credit Knowledge","Real Assets Knowledge",{"id":244,"slug":245,"title":246,"raw_title":10,"is_featured":11,"company":247,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":248,"processed_country_iso_code_gmaps":250,"processed_home_office":251,"processed_salary_min":252,"processed_salary_max":253,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":254,"processed_employment_types":26,"processed_it_skills":255,"processed_it_skills_labels":256,"processed_job_expertise_skills":272,"processed_job_expertise_skills_labels":273,"max_cpc":66,"actual_cpc":66},59632,"engineer-application-management-ind201-refinitiv-india-shared-services-private-limited","Engineer - Application Management",{"name":13,"slug":14,"logo_url":10},[249],"Bangalore",[18],"hybrid",1500000,2500000,[25],{"git":28,"sql":29,"linux":29,"maven":28,"murex":28,"docker":28,"geneos":28,"gitlab":28,"oracle":29,"pl\u002Fsql":29,"ansible":28,"eclipse":28,"jenkins":28,"bitbucket":28,"control-m":29,"hibernate":28,"sonarqube":28,"servicenow":29,"java springboot":28,"f5 load balancer":28,"spring framework":28,"unix shell scripting":29},[47,257,258,38,259,260,261,262,101,155,263,264,265,266,267,268,269,270,100,41,162,271],"Control-M","Oracle","PL\u002FSQL","Murex","UNIX shell scripting","Bitbucket","Hibernate","Java Springboot","Eclipse","F5 load balancer","Maven","Geneos","ServiceNow","Ansible","SonarQube",{"devops":28,"change management":29,"clearing services":28,"problem management":29,"release management":29,"agile methodologies":28,"application support":29,"incident management":29,"post trade services":28,"financial products knowledge":28},[274,275,276,234,277,110,61,278,279,280],"Application Support","Incident Management","Problem Management","Release Management","Financial Products Knowledge","Post Trade Services","Clearing Services",{"id":282,"slug":283,"title":284,"raw_title":10,"is_featured":11,"company":285,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":286,"processed_country_iso_code_gmaps":287,"processed_home_office":19,"processed_salary_min":288,"processed_salary_max":289,"processed_salary_currency":77,"processed_salary_source":23,"processed_working_hours":290,"processed_employment_types":26,"processed_it_skills":291,"processed_it_skills_labels":292,"processed_job_expertise_skills":295,"processed_job_expertise_skills_labels":296,"max_cpc":66,"actual_cpc":66},59765,"senior-data-scientist-ind201-refinitiv-india-shared-services-private-limited-2","Senior Data Scientist",{"name":13,"slug":14,"logo_url":10},[16],[18],120000,180000,[25],{"sql":28,"mlops":29,"python":29,"cloud computing":29},[49,38,293,294],"Cloud Computing","MLOps",{"data science":29,"machine learning":29,"product ownership":29,"agile methodologies":28,"lseg data and products":28,"ai\u002Fml model development":29,"financial market content":29},[297,298,299,227,61,300,301],"Data Science","Machine Learning","AI\u002FML Model Development","Financial Market Content","LSEG Data and Products",{"id":303,"slug":304,"title":284,"raw_title":10,"is_featured":11,"company":305,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":306,"processed_country_iso_code_gmaps":307,"processed_home_office":19,"processed_salary_min":75,"processed_salary_max":76,"processed_salary_currency":77,"processed_salary_source":23,"processed_working_hours":308,"processed_employment_types":26,"processed_it_skills":309,"processed_it_skills_labels":310,"processed_job_expertise_skills":320,"processed_job_expertise_skills_labels":321,"max_cpc":66,"actual_cpc":357},59777,"senior-data-scientist-ind201-refinitiv-india-shared-services-private-limited-5",{"name":13,"slug":14,"logo_url":10},[16],[18],[25],{"r":28,"aws":28,"nlp":29,"sql":29,"vba":125,"llms":29,"mlops":28,"python":29,"statistics":29,"rag workflow":29,"cloud computing":28,"data engineering":29,"machine learning":29,"data visualization":28,"prompt engineering":28,"relational databases":29},[49,38,311,312,293,294,313,314,315,316,317,298,318,319,230,40],"R","VBA","NLP","LLMs","RAG Workflow","Prompt Engineering","Data Engineering","Statistics","Relational Databases",{"sourcing":29,"deployment":28,"extraction":29,"leadership":29,"data science":29,"data analysis":29,"data cleaning":29,"market trends":29,"pdf processing":28,"pre-processing":29,"product vision":29,"data management":29,"poc development":28,"post-processing":29,"structured data":29,"data acquisition":29,"unstructured data":29,"business knowledge":29,"business processes":29,"product management":29,"automated solutions":29,"c-suite interaction":28,"data transformation":29,"feature engineering":29,"financial analytics":29,"pattern recognition":29,"predictive modeling":29,"pipeline development":28,"semi-structured data":29,"agile team leadership":29,"quantitative modeling":29,"stakeholder management":29,"technical articulation":29,"user experience design":28,"commercial data management":28,"distributed team management":28,"financial content knowledge":29,"open source data management":28,"scanned document processing":28},[297,322,323,228,324,325,326,327,328,329,235,203,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356],"Feature Engineering","Predictive Modeling","Financial Analytics","Product Management","Product Vision","User Experience Design","Business Knowledge","Leadership","Quantitative Modeling","Automated Solutions","Pattern Recognition","POC Development","Pipeline Development","Deployment","Data Acquisition","Data Cleaning","Data Transformation","Sourcing","Extraction","Pre-processing","Post-processing","Structured Data","Semi-structured Data","Unstructured Data","PDF Processing","Scanned Document Processing","Open Source Data Management","Commercial Data Management","Agile Team Leadership","Technical Articulation","Financial Content Knowledge","Business Processes","Market Trends","C-Suite Interaction","Distributed Team Management",0.3,{"image_path":359,"content_de":360,"content_en":373,"composite_key":386,"last_updated":387},"\u002Fimages\u002Fskill\u002Fsql.webp",{"tab1":361,"tab2":364,"tab3":367,"tab4":370},{"title":362,"content":363},"Bedeutung & Relevanz","SQL (Structured Query Language) spielt eine entscheidende Rolle in der indischen Finanzbranche, da es die Grundlage für effizientes Datenmanagement und -analyse bildet. In einem Land mit einem schnell wachsenden Finanzsektor wie [Indien](\u002Fsearch) ermöglicht SQL die Verarbeitung großer Datenmengen, die für [Finanzanalyse](\u002Fjobs-by-expertise\u002Ffinancial-analysis), [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management) und [Portfoliomanagement](\u002Fjobs-by-expertise\u002Fportfolio-management) unerlässlich sind. Unternehmen nutzen SQL, um Finanzdatenbanken zu verwalten, Transaktionen zu überwachen und Berichte für Compliance-Zwecke zu generieren. Die Fähigkeit, komplexe Abfragen zu erstellen, ist besonders wertvoll für die Integration von Marktdaten aus Plattformen wie Bloomberg und Refinitiv, die in der indischen Finanzwelt weit verbreitet sind. Mit der zunehmenden Digitalisierung gewinnt SQL an Bedeutung, um datengesteuerte Entscheidungen in Bereichen wie [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) und [Banking](\u002Fjobs-by-industry\u002Fbanking) zu unterstützen. Es fördert die Effizienz durch Automatisierung von Prozessen wie Datenvalidierung und Berichterstattung, was in einem wettbewerbsintensiven Markt wie Indien einen strategischen Vorteil bietet.",{"title":365,"content":366},"Top-Branchen & Standorte","In [Indien](\u002Fsearch) ist SQL in mehreren Schlüsselbranchen hochgefragt, darunter [Finanzdienstleistungen](\u002Fjobs-by-industry\u002Ffinancial-services), [Versicherungen](\u002Fjobs-by-industry\u002Finsurance) und [Asset Management](\u002Fjobs-by-industry\u002Fasset-management). Besonders in Städten wie Bengaluru, Pune und Mumbai, die als IT- und Finanzzentren gelten, wird SQL für Aufgaben wie Datenintegration, Client Reporting und Systemmigration eingesetzt. In Bengaluru, bekannt für seine Tech-Startups, nutzen Unternehmen SQL für [Finanzmodellierung](\u002Fjobs-by-expertise\u002Ffinancial-modeling) und die Verwaltung von [Finanzmärkten](\u002Fjobs-by-expertise\u002Ffinancial-markets). Pune hingegen konzentriert sich auf [Prozessverbesserung](\u002Fjobs-by-expertise\u002Fprocess-improvement) in der Finanzbranche, wobei SQL zur Optimierung von Datenworkflows beiträgt. Mumbai, das Finanzkapital Indiens, setzt SQL intensiv in [Banking](\u002Fjobs-by-industry\u002Fbanking) und [Vermögensverwaltung](\u002Fjobs-by-industry\u002Fasset-management) ein, um Investmentdaten zu analysieren und regulatorische Anforderungen zu erfüllen. Diese Standorte bieten zahlreiche Möglichkeiten für Fachkräfte, die SQL in dynamischen Umgebungen anwenden möchten.",{"title":368,"content":369},"Gefragte Skills & Arbeitgeber","Führende Unternehmen in [Indien](\u002Fsearch) wie Apex Fund Services LLP, Allianz Insurance und CO_ANT-MUM Annet Technologies Mumbai LLP suchen nach SQL-Experten, um Schlüsselexpertisen wie Fund Administration, Application Support und Data Integration zu unterstützen. SQL wird hier für [Projektmanagement](\u002Fjobs-by-expertise\u002Fproject-management), Data Validation und die Verwaltung von Financial Instruments eingesetzt. Beispielsweise nutzt Apex Fund Services LLP SQL für NAV\u002FGAV-Berechnungen und Fund Reconciliation, während Allianz Insurance es für Risk Assessment und Compliance Monitoring in Versicherungsprodukten verwendet. Zusätzlich sind Kenntnisse in Agile Methodologies und Business Requirements Analysis gefragt, um SQL-basierte Lösungen in Systemen wie Geneva und Investran zu implementieren. Diese Arbeitgeber schätzen SQL-Fähigkeiten für die Automatisierung von Prozessen wie Fee Calculations und Break Resolution, was die Effizienz in der indischen Finanzlandschaft steigert.",{"title":371,"content":372},"Karriere & Entwicklung","Karrierewege mit SQL in [Indien](\u002Fsearch) reichen von Data Analysts bis zu IT-Spezialisten in der Finanzbranche. Um SQL zu erlernen, empfehlen sich Online-Kurse, praktische Projekte mit Tools wie [MS Excel](\u002Fjobs-by-skill\u002Fms-excel) und [Python](\u002Fjobs-by-skill\u002Fpython) sowie Zertifizierungen in Datenbankmanagement. Verwandte IT-Skills wie ETL Tools, REST API und Cloud-Konfiguration mit AWS oder Azure ergänzen SQL-Kenntnisse und eröffnen Rollen in Data Analytics oder DevOps. In Indien können Fachkräfte SQL mit [Generative AI](\u002Fjobs-by-skill\u002Fgenerative-ai) kombinieren, um fortschrittliche Datenlösungen zu entwickeln, z.B. für [Prozessverbesserung](\u002Fjobs-by-expertise\u002Fprocess-improvement) oder System Integration. Typische Entwicklungsmöglichkeiten umfassen den Aufstieg zum Senior Data Engineer oder Project Manager, wobei Erfahrung in Agile Methodology und Tools wie Jira hilfreich ist. Durch kontinuierliches Lernen und Anwendung in realen Szenarien, wie Data Migration oder Financial Modeling, können Berufstätige in Indien ihre Karriere vorantreiben und von der hohen Nachfrage nach SQL-Experten profitieren.",{"tab1":374,"tab2":377,"tab3":380,"tab4":383},{"title":375,"content":376},"Strategic Importance","SQL (Structured Query Language) holds immense strategic importance in India's rapidly growing financial sector, serving as the backbone for data management, analysis, and decision-making processes. In a country where financial institutions handle massive volumes of transactional data daily, SQL enables efficient querying, manipulation, and extraction of critical information from complex databases. This skill is particularly crucial for roles involving [Financial Analysis](\u002Fjobs-by-expertise\u002Ffinancial-analysis), [Risk Management](\u002Fjobs-by-expertise\u002Frisk-management), and [Portfolio Management](\u002Fjobs-by-expertise\u002Fportfolio-management), where accurate data retrieval directly impacts investment strategies and regulatory compliance.\n\nWith India's financial services industry embracing digital transformation, SQL proficiency allows professionals to integrate data from multiple sources, perform [Data Validation](\u002Fjobs-by-expertise\u002Fdata-validation), and support [Process Automation](\u002Fjobs-by-expertise\u002Fprocess-improvement) initiatives. The ability to write optimized SQL queries is essential for generating client reports, calculating NAV\u002FGAV for funds, and managing [Financial Markets](\u002Fjobs-by-expertise\u002Ffinancial-markets) data. As Indian companies increasingly adopt cloud-based solutions and advanced analytics, SQL remains a foundational skill that bridges traditional database management with modern [Data Analytics](\u002Fjobs-by-expertise\u002Fdata-analytics) requirements.",{"title":378,"content":379},"Top Industries & Locations","SQL expertise is in high demand across India's key financial hubs and specialized sectors. In major metropolitan centers like Bengaluru, Pune, and Mumbai, financial institutions actively seek SQL professionals to support their expanding operations. These cities host numerous [Banking](\u002Fjobs-by-industry\u002Fbanking) institutions, [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) firms, and insurance companies that rely heavily on database management systems.\n\nThe [Financial Services](\u002Fjobs-by-industry\u002Ffinancial-services) sector, particularly fund administration and insurance services, represents the primary demand driver for SQL skills in India. Companies specializing in [Fund Administration](\u002Fjobs-by-industry\u002Ffund-administration) require SQL for managing investment data, performing reconciliations, and supporting [Financial Modeling](\u002Fjobs-by-expertise\u002Ffinancial-modeling) activities. The insurance industry utilizes SQL for policy administration, claims processing, and risk assessment. Additionally, the growing [Private Equity](\u002Fjobs-by-industry\u002Fprivate-equity) and real estate investment sectors in India depend on SQL for portfolio tracking, performance analysis, and regulatory reporting requirements.",{"title":381,"content":382},"In-Demand Skills & Employers","Leading financial institutions in India consistently seek professionals with SQL expertise combined with complementary technical and domain knowledge. Top employers like Apex Fund Services LLP, Allianz Insurance, and CO_ANT-MUM Annet Technologies Mumbai LLP require SQL specialists for roles involving [Data Integration](\u002Fjobs-by-expertise\u002Fdata-integration), [Client Reporting](\u002Fjobs-by-expertise\u002Fclient-reporting), and [System Migration](\u002Fjobs-by-expertise\u002Fsystem-migration).\n\nThese companies value SQL professionals who can demonstrate proficiency in [Financial Data Analysis](\u002Fjobs-by-expertise\u002Ffinancial-analysis), understand [Financial Instruments](\u002Fjobs-by-expertise\u002Ffinancial-instruments), and support [Process Improvement](\u002Fjobs-by-expertise\u002Fprocess-improvement) initiatives. The most sought-after expertise includes [Reference Data Management](\u002Fjobs-by-expertise\u002Freference-data-management), [Corporate Actions](\u002Fjobs-by-expertise\u002Fcorporate-actions) processing, and [Fund Reconciliation](\u002Fjobs-by-expertise\u002Ffund-reconciliation). SQL is particularly valuable when combined with knowledge of specialized financial systems like Geneva, Investran, and various [Accounting Systems](\u002Fjobs-by-industry\u002Faccounting). Professionals who can leverage SQL for [Automated Matching](\u002Fjobs-by-expertise\u002Fautomation-solutions) and [Exception Handling](\u002Fjobs-by-expertise\u002Fexception-handling) in financial operations are especially prized in the Indian market.",{"title":384,"content":385},"Career & Development","SQL opens diverse career pathways in India's financial technology landscape, ranging from database administration to advanced analytics roles. Entry-level professionals typically start as SQL Developers or Data Analysts, progressing to roles like Database Architect, Business Intelligence Analyst, or [Financial Modeling](\u002Fjobs-by-expertise\u002Ffinancial-modeling) Specialist. The skill serves as a foundation for transitioning into [Data Analytics](\u002Fjobs-by-expertise\u002Fdata-analytics), [Risk Assessment](\u002Fjobs-by-expertise\u002Frisk-assessment), and [Project Management](\u002Fjobs-by-expertise\u002Fproject-management) positions.\n\nTo enhance SQL capabilities, professionals should complement their skills with [Python](\u002Fjobs-by-skill\u002Fpython) for advanced data manipulation, [MS Excel](\u002Fjobs-by-skill\u002Fms-excel) for reporting, and ETL tools for data integration. Learning database management systems like Microsoft SQL Server and understanding [Agile Methodologies](\u002Fjobs-by-expertise\u002Fagile-methodologies) for development processes significantly boosts career prospects. Indian professionals can benefit from mastering [Data Visualization](\u002Fjobs-by-expertise\u002Fdata-visualization) tools like Power BI alongside SQL to create comprehensive business intelligence solutions. Continuous learning in areas like [Cloud Configuration](\u002Fjobs-by-skill\u002Fcloud-configuration) and [API Development](\u002Fjobs-by-skill\u002Fapi-development) ensures SQL remains relevant in India's evolving digital financial ecosystem, while certifications in database management and financial systems provide competitive advantages in the job market.","skill:sql:in","2026-08-17T09:01:39.116970+02:00",{"industry":389,"employment_type":433,"expertise_skills":437,"it_skills":510,"salary_currency":580,"processed_working_hours":591},[390,394,398,402,406,410,414,418,421,424,427,430],{"key":391,"label":392,"count":393},"financial services","Financial Services",111,{"key":395,"label":396,"count":397},"financial markets infrastructure","Financial Markets Infrastructure",63,{"key":399,"label":400,"count":401},"data","Data",41,{"key":403,"label":404,"count":405},"insurance","Insurance",40,{"key":407,"label":408,"count":409},"data provider","Data 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