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
Bachelor’s degree in Statistics, Data Analytics, Computer Science, AI, Finance, or related field
