{"schemaVersion":"jobsearcher.job.v1","id":"5ceda5c7f84fd1035935526b","url":"https://jobsearcher.com/jobs/5ceda5c7f84fd1035935526b","canonicalUrl":"https://jobsearcher.com/jobs/5ceda5c7f84fd1035935526b","title":"Web Analytics Engineer","description":"Overview\nWe are seeking an experienced Analytics Engineer to join our innovative Fintech team. This role focuses on building scalable data pipelines, integrating Google Analytics (GA4) / Google Tag Manager, and delivering actionable insights through Looker Studio dashboards. You will set‑up and manage financial marketing data in BigQuery to support marketing teams in making data-driven decisions. This position requires strong client-facing experience, as you will collaborate directly with external stakeholders to understand requirements, deliver solutions, and ensure client satisfaction.\n\nKey Responsibilities\n\nDesign and maintain data pipelines and ETL processes using BigQuery for high-volume financial marketing data.\n\nIntegrate Google Analytics (GA4) data with other data sources to track user behavior, conversion funnels, and product performance.\n\nCreate and manage web analytics tracking framework across a variety of third‑party web applications.\n\nBuild and optimize Looker Studio dashboards for KPIs such as CPA, LTV, and full‑funnel metrics.\n\nEnsure data accuracy, governance, and security in line with financial regulations.\n\nWork directly with external clients to gather requirements, present insights, and provide technical guidance.\n\nCollaborate with internal teams (platform, marketing, risk) to deliver actionable insights.\n\nRequired Skills & Qualifications\n\n3+ years of experience in web analytics engineering or data engineering.\n\nStrong proficiency in BigQuery and SQL for large-scale data processing.\n\nHands‑on experience with Google Analytics (GA4)/Google Tag Manager or Adobe Analytics including a high degree of customization (e.g., custom variables, segments, filters, and event tracking).\n\nExpertise in Looker Studio, Tableau, Power BI, or Domo for creating interactive dashboards.\n\nProven experience in client‑facing roles, including requirements gathering and solution delivery.\n\nKnowledge of data privacy and compliance standards in financial services.\n\nPreferred Qualifications\n\nExperience creating/testing AI/ML predictor models (e.g., XGBoost, K‑Means Cluster Analysis) with web analytics data.\n\nExperience integrating internal data sources with web analytics in secure methods.\n\nExperience in Fintech analytics.\n\nExperience with integrating third‑party data sources (e.g., Snowflake, AWS RDS/DynamoDB, Azure SQL, MySQL).\n\nFamiliarity with Python or R for advanced analytics.\n\nExposure to Google Cloud Platform and ETL tools.\n\nExperience creating embedded dashboards with JavaScript charting libraries.\n\nEducation\nBachelor’s degree in Statistics, Data Analytics, Computer Science, AI, Finance, or related field.\n\n#J-18808-Ljbffr","company":"SupportFinity","rawCompany":"supportfinity","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-12T03:13:50.779Z","occupations":[{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Web Analytics Engineer","description":"Overview\nWe are seeking an experienced Analytics Engineer to join our innovative Fintech team. This role focuses on building scalable data pipelines, integrating Google Analytics (GA4) / Google Tag Manager, and delivering actionable insights through Looker Studio dashboards. You will set‑up and manage financial marketing data in BigQuery to support marketing teams in making data-driven decisions. This position requires strong client-facing experience, as you will collaborate directly with external stakeholders to understand requirements, deliver solutions, and ensure client satisfaction.\n\nKey Responsibilities\n\nDesign and maintain data pipelines and ETL processes using BigQuery for high-volume financial marketing data.\n\nIntegrate Google Analytics (GA4) data with other data sources to track user behavior, conversion funnels, and product performance.\n\nCreate and manage web analytics tracking framework across a variety of third‑party web applications.\n\nBuild and optimize Looker Studio dashboards for KPIs such as CPA, LTV, and full‑funnel metrics.\n\nEnsure data accuracy, governance, and security in line with financial regulations.\n\nWork directly with external clients to gather requirements, present insights, and provide technical guidance.\n\nCollaborate with internal teams (platform, marketing, risk) to deliver actionable insights.\n\nRequired Skills & Qualifications\n\n3+ years of experience in web analytics engineering or data engineering.\n\nStrong proficiency in BigQuery and SQL for large-scale data processing.\n\nHands‑on experience with Google Analytics (GA4)/Google Tag Manager or Adobe Analytics including a high degree of customization (e.g., custom variables, segments, filters, and event tracking).\n\nExpertise in Looker Studio, Tableau, Power BI, or Domo for creating interactive dashboards.\n\nProven experience in client‑facing roles, including requirements gathering and solution delivery.\n\nKnowledge of data privacy and compliance standards in financial services.\n\nPreferred Qualifications\n\nExperience creating/testing AI/ML predictor models (e.g., XGBoost, K‑Means Cluster Analysis) with web analytics data.\n\nExperience integrating internal data sources with web analytics in secure methods.\n\nExperience in Fintech analytics.\n\nExperience with integrating third‑party data sources (e.g., Snowflake, AWS RDS/DynamoDB, Azure SQL, MySQL).\n\nFamiliarity with Python or R for advanced analytics.\n\nExposure to Google Cloud Platform and ETL tools.\n\nExperience creating embedded dashboards with JavaScript charting libraries.\n\nEducation\nBachelor’s degree in Statistics, Data Analytics, Computer Science, AI, Finance, or related field.\n\n#J-18808-Ljbffr","datePosted":"2026-07-12T03:13:50.779Z","dateModified":"2026-07-12T03:13:50.779Z","hiringOrganization":{"@type":"Organization","name":"SupportFinity","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5ceda5c7f84fd1035935526b"},"url":"https://jobsearcher.com/jobs/5ceda5c7f84fd1035935526b"}}