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Web Analytics Engineer
Web Analytics EngineerExtractable • San Francisco, CA, US
Web Analytics Engineer

Web Analytics Engineer

Extractable • San Francisco, CA, US
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Job Description

Job Description

Salary :

We 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.

Key Responsibilities

  • Design and maintain data pipelines and ETL processes using BigQuery for high-volume financial marketing data.
  • Integrate Google Analytics (GA4) data with other data sources to track user behavior, conversion funnels, and product performance.
  • Create and manage web analytics tracking framework across a variety of third-party web applications
  • Build and optimize Looker Studio dashboards for KPIs such as CPA, LTV, and full-funnel metrics.
  • Ensure data accuracy, governance, and security in line with financial regulations
  • Work directly with external clients to gather requirements, present insights, and provide technical guidance.
  • Collaborate with internal teams (platform, marketing, risk) to deliver actionable insights.

Required Skills & Qualifications

  • 3+ years of experience in web analytics engineering or data engineering.
  • Strong proficiency in BigQuery and SQL for large-scale data processing.
  • Hands-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).
  • Expertise in Looker Studio, Tableau, Power BI, or Domo for creating interactive dashboards.
  • Proven experience in client-facing roles, including requirements gathering and solution delivery.
  • Knowledge of data privacy and compliance standards in financial services.

    • Preferred Qualifications

  • Experience creating / testing AI / ML predictor models (e.g. XGBoost, K-Means Cluster Analysis) with web analytics data
  • Experience integrating internal data sources with web analytics in secure methods.
  • Experience in Fintech analytics
  • Experience with integrating third-party data sources (e.g. Snowflake, AWS RDS / DynamoDB, Azure SQL, MySQL)
  • Familiarity with Python or R for advanced analytics.
  • Exposure to Google Cloud Platform and ETL tools.
  • Experience creating embedded dashboards with JavaScript charting libraries

    • Education

    Bachelors degree in Statistics, Data Analytics, Computer Science, AI, Finance, or related field

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