Analytics Engineer

Client: A document-automation SaaS for financial professionals

Data Pipeline Completed: March 2026

End-to-end analytics engineering for SaaS platform, from data pipeline to executive dashboards

AN

Project Overview

Leading the analytics engineering efforts for a document-automation SaaS serving financial professionals.

Challenge: The client needed a complete analytics overhaul - from fragmented data sources to unified reporting that could scale with their rapid growth.

Solution: Built a comprehensive analytics stack from scratch, integrating multiple data sources into BigQuery, implementing dbt for data transformation, and creating automated reporting in Looker Studio.

Technologies: BigQuery, dbt, Looker Studio, SQL, Python, GA4

Impact: Transformed decision-making from gut-feel to data-driven, enabling the team to track key SaaS metrics (MRR, churn, LTV) in real-time.

Key Achievements

• Built complete analytics infrastructure from ground up
• Integrated 10+ data sources into unified data warehouse
• Implemented dbt for maintainable data transformations
• Created automated dashboards tracking all key SaaS metrics
• Enabled real-time monitoring of MRR, churn, and customer health
• Reduced time-to-insight from days to seconds

Related Projects

Explore more of our work

AN
Analytics Engineer

A European food-delivery marketplace

View Details
Analytics Engineer

A European food-delivery marketplace

FU
Full stack data solution

A Dutch software-testing company

View Details
Full stack data solution

A Dutch software-testing company

BU
Business Intelligence for SaaS

A document-automation SaaS for financial professionals

View Details
Business Intelligence for SaaS

A document-automation SaaS for financial professionals

Ready to Start Your Project?

Let's discuss how we can help you achieve similar results.