[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-knime-ph":3,"skill-page-filters-\u002Fde-ph\u002Fjobs-by-skill\u002Fknime":20,"job-search-\u002Fde-ph\u002Fjobs-by-skill\u002Fknime":152,"featured-jobs-\u002Fde-ph\u002Fjobs-by-skill\u002Fknime":194},{"image_path":4,"content_de":4,"content_en":5,"composite_key":18,"last_updated":19},null,{"tab1":6,"tab2":9,"tab3":12,"tab4":15},{"title":7,"content":8},"Strategic Importance","In the Philippines, the strategic importance of KNIME skills is rapidly growing as companies across various sectors embrace data-driven decision-making. KNIME, a powerful open-source platform for data analytics, enables professionals to build robust data workflows without extensive coding, making it a valuable asset in the financial industry. With the increasing volume of data, organizations are seeking experts who can extract actionable insights efficiently. The demand for KNIME proficiency is reflected in the current job market, with 1 open positions highlighting its relevance. Moreover, KNIME often complements other essential skills such as [Fcrm](\u002Fen-ph\u002Fjobs-by-skill\u002Ffcrm), [Hive](\u002Fen-ph\u002Fjobs-by-skill\u002Fhive), [Llms](\u002Fen-ph\u002Fjobs-by-skill\u002Fllms), creating a well-rounded data professional. As businesses strive to stay competitive, the ability to leverage KNIME for predictive modeling, data blending, and visualization is becoming a key differentiator. For job seekers in the Philippines, mastering KNIME can significantly enhance career prospects, as it demonstrates a commitment to staying ahead in the digital transformation wave. Whether in banking, finance, or other industries, KNIME's versatility makes it a strategic skill for driving innovation and efficiency.",{"title":10,"content":11},"Top Industries & Locations","KNIME jobs in the Philippines are concentrated in key locations and industries that are at the forefront of data adoption. The top locations for KNIME roles include [Makati City](\u002Fen-ph\u002Fjobs-in-makati-city), where financial hubs and tech parks are thriving. These areas offer a dynamic environment for data professionals, with numerous opportunities to apply KNIME in real-world scenarios. In terms of industries, [Financial Services](\u002Fen-ph\u002Fjobs-by-industry\u002Ffinancial-services) are leading the charge, leveraging KNIME for everything from risk assessment to customer analytics. The financial sector, in particular, relies heavily on KNIME to process large datasets and generate insights that drive strategic decisions. Additionally, the rise of financial technology has opened new avenues for KNIME experts, as startups and established firms alike seek to harness the power of data. For professionals considering a career in KNIME, targeting these locations and industries can provide a wealth of opportunities. The demand is not only limited to traditional finance but also extends to insurance, asset management, and other data-intensive fields, making KNIME a versatile skill with broad applicability across the Philippine job market.",{"title":13,"content":14},"In-Demand Skills & Employers","When it comes to KNIME roles in the Philippines, employers are looking for a combination of technical and domain expertise. The most sought-after expertise includes [Scrum](\u002Fen-ph\u002Fjobs-by-expertise\u002Fscrum), [Devops](\u002Fen-ph\u002Fjobs-by-expertise\u002Fdevops), [Statistics](\u002Fen-ph\u002Fjobs-by-expertise\u002Fstatistics), which are critical for translating data insights into business value. For instance, risk management and compliance professionals who can use KNIME to automate monitoring and reporting are highly valued. Similarly, data analysis and KPI monitoring skills are essential for leveraging KNIME's capabilities to track performance and identify trends. On the technical side, proficiency in [Fcrm](\u002Fen-ph\u002Fjobs-by-skill\u002Ffcrm), [Hive](\u002Fen-ph\u002Fjobs-by-skill\u002Fhive), [Llms](\u002Fen-ph\u002Fjobs-by-skill\u002Fllms) is often required, as KNIME integrates seamlessly with these tools to enhance data processing. Leading employers in the Philippines, such as [ING Hubs B.V. Philippine Branch](\u002Fen-ph\u002Fcompany\u002Fing-hubs-bv-philippine-branch), are actively hiring KNIME specialists to drive their data initiatives. These companies offer competitive packages and opportunities for growth, making them attractive destinations for data professionals. To stand out, candidates should not only master KNIME but also develop a strong foundation in these related skills and expertise, ensuring they can deliver end-to-end data solutions that meet business objectives.",{"title":16,"content":17},"Career Path & Salary","A career in KNIME in the Philippines offers promising prospects, with a clear path for advancement and competitive compensation. The median salary for KNIME-related roles is PHP 100k, with a typical range of PHP 100k – PHP 100k. Entry-level positions start around PHP 60k, while experienced professionals can earn up to PHP 100k, depending on their expertise and the complexity of the projects they handle. The job market is robust, with 1 open positions currently available, indicating a healthy demand for KNIME skills. Career progression often follows a trajectory from data analyst to senior data scientist or analytics manager, with opportunities to specialize in areas like machine learning or big data. As companies continue to invest in data infrastructure, the need for KNIME experts is expected to grow, making it a lucrative and stable career choice. For those looking to enter the field, gaining hands-on experience with KNIME and complementary tools can significantly boost earning potential and open doors to senior roles. Overall, KNIME careers in the Philippines are not only financially rewarding but also offer intellectual challenges and the chance to make a tangible impact on business outcomes.","skill:knime:ph","2026-08-26T21:15:59.597963+02:00",{"industry":21,"employment_type":26,"expertise_skills":27,"it_skills":100,"salary_currency":146,"processed_working_hours":149},[22],{"key":23,"label":24,"count":25},"financial services","Financial Services",1,[],[28,31,34,37,40,43,46,49,52,55,58,61,64,67,70,73,76,79,82,85,88,91,94,97],{"key":29,"label":30,"slug":29,"count":25},"operational-resilience","Operational Resilience",{"key":32,"label":33,"slug":32,"count":25},"responsible-ai","Responsible Ai",{"key":35,"label":36,"slug":35,"count":25},"ai-governance","Ai Governance",{"key":38,"label":39,"slug":38,"count":25},"product-ownership","Product Ownership",{"key":41,"label":42,"slug":41,"count":25},"problem-resolution","Problem Resolution",{"key":44,"label":45,"slug":44,"count":25},"scrum","Scrum",{"key":47,"label":48,"slug":47,"count":25},"software-implementation-coordination","Software Implementation Coordination",{"key":50,"label":51,"slug":50,"count":25},"agile-methodologies","Agile Methodologies",{"key":53,"label":54,"slug":53,"count":25},"explainability","Explainability",{"key":56,"label":57,"slug":56,"count":25},"incident-management","Incident Management",{"key":59,"label":60,"slug":59,"count":25},"customer-journey-expertise","Customer Journey Expertise",{"key":62,"label":63,"slug":62,"count":25},"model-risk-management","Model Risk Management",{"key":65,"label":66,"slug":65,"count":25},"statistics","Statistics",{"key":68,"label":69,"slug":68,"count":25},"cyber-security","Cyber Security",{"key":71,"label":72,"slug":71,"count":25},"data-security","Data Security",{"key":74,"label":75,"slug":74,"count":25},"transaction-monitoring","Transaction Monitoring",{"key":77,"label":78,"slug":77,"count":25},"operational-process-management","Operational Process Management",{"key":80,"label":81,"slug":80,"count":25},"data-analysis","Data Analysis",{"key":83,"label":84,"slug":83,"count":25},"devops","Devops",{"key":86,"label":87,"slug":86,"count":25},"business-analysis","Business Analysis",{"key":89,"label":90,"slug":89,"count":25},"regulatory-compliance","Regulatory Compliance",{"key":92,"label":93,"slug":92,"count":25},"model-driven-solutions","Model-Driven Solutions",{"key":95,"label":96,"slug":95,"count":25},"platform-security","Platform Security",{"key":98,"label":99,"slug":98,"count":25},"financial-crime-prevention","Financial Crime Prevention",[101,104,107,110,113,116,119,122,125,128,131,134,137,140,143],{"key":102,"label":103,"slug":102,"count":25},"jupyter","Jupyter",{"key":105,"label":106,"slug":105,"count":25},"python","Python",{"key":108,"label":109,"slug":108,"count":25},"knime","Knime",{"key":111,"label":112,"slug":111,"count":25},"servicenow","Servicenow",{"key":114,"label":115,"slug":114,"count":25},"generative-ai","Generative Ai",{"key":117,"label":118,"slug":117,"count":25},"prompt-engineering","Prompt Engineering",{"key":120,"label":121,"slug":120,"count":25},"agentic-ai","Agentic Ai",{"key":123,"label":124,"slug":123,"count":25},"llms","Llms",{"key":126,"label":127,"slug":126,"count":25},"hive","Hive",{"key":129,"label":130,"slug":129,"count":25},"ai-enabled-workflows","Ai-Enabled Workflows",{"key":132,"label":133,"slug":132,"count":25},"machine-learning","Machine Learning",{"key":135,"label":136,"slug":135,"count":25},"fcrm","Fcrm",{"key":138,"label":139,"slug":138,"count":25},"aianalytics-platforms","Ai\u002FAnalytics Platforms",{"key":141,"label":142,"slug":141,"count":25},"quantexa","Quantexa",{"key":144,"label":145,"slug":144,"count":25},"retrieval-augmented-generation-rag","Retrieval-Augmented Generation (Rag)",[147],{"key":148,"label":148,"count":25},"PHP",[150],{"key":151,"label":151,"count":25},"FULL_TIME",{"total":25,"jobs":153},[154],{"id":155,"slug":156,"title":157,"raw_title":4,"is_featured":158,"company":159,"raw_hiringOrganization_logo_url":4,"processed_city_gmaps":163,"processed_country_iso_code_gmaps":165,"processed_home_office":167,"processed_salary_min":168,"processed_salary_max":169,"processed_salary_currency":148,"processed_salary_source":170,"processed_working_hours":171,"processed_employment_types":4,"processed_it_skills":172,"processed_it_skills_labels":174,"processed_job_expertise_skills":184,"processed_job_expertise_skills_labels":187,"max_cpc":25,"actual_cpc":193},84299,"customer-journey-expert-ing-hubs-bv-philippine-branch-9","Customer Journey Expert",false,{"name":160,"slug":161,"logo_url":162},"ING Hubs B.V. 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