Job Description
About the Role
We’re seeking a GCP Data Analyst with deep expertise in BigQuery, strong SQL and Python skills, and a sharp analytical mindset to support both data validation initiatives and ongoing analytics work. This role is ideal for someone who can navigate large datasets, build robust queries, and identify inconsistencies with precision and insight.
The analyst will work across a variety of data workflows, from validating metrics during system migrations to supporting day-to-day data analysis and reporting needs. You’ll leverage advanced BigQuery features—such as authorized views, materialized views, UDFs, partitioning strategies, and time series analysis—to ensure data integrity and surface meaningful insights. Comfort working in Python with data frames and relevant packages is also essential, particularly for tasks involving data manipulation, anomaly detection, or prototyping workflows.
A solid understanding of data engineering fundamentals and GCP infrastructure is important, as is the ability to read and interpret code in Java or Scala when collaborating with engineering teammates. Familiarity with Airflow (Composer) will help you understand orchestration logic, though this won’t be a core responsibility. Experience with BigQuery ML, anomaly detection frameworks, or Vertex AI is a plus.