Data Analytics Engineer (Maternity Cover)

📋 Description

• Work with Revenue leaders to turn business questions into clear metric definitions, KPIs and
• Build analysis and dashboards on acquisition, conversion, activation, feature adoption and
• Identify gaps in tracking and work with R&D to close them.
• Maintain and extend existing pipelines and models (Airflow, Fivetran, ad platform connectors
• Monitor data quality and fix issues before they reach stakeholders.
• Document metric definitions, models and decisions as you go.

🎯 Requirements

• 3+ years as an analytics engineer or data analyst, preferably in B2B SaaS.
• Experience defining metrics and KPIs with business stakeholders, and specifying and building the
• Experience working across business domains (such as marketing, sales, product or finance), and
• Proficiency in SQL and Python for data processing, analysis and automation.
• Data modeling and warehousing experience in a cloud data warehouse, ideally BigQuery on GCP.
• Hands-on experience building and maintaining ETL/ELT pipelines from multiple sources, orchestrated