GCP Data Analyst

<h3>📋 Description</h3> • 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. • 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. <h3>🎯 Requirements</h3> • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. • 5+ years of experience in data analyst or analytics engineering roles with strong BigQuery, SQL, and Python skills. • 5+ years of experience building and operating solutions on Google Cloud Platform (GCP). • Strong ability to write and optimize SQL queries to validate data, analyze trends, and detect inconsistencies. • Proficient in Python, including use of data frames and common analytical libraries. • Experience with advanced BigQuery features such as authorized views, materialized views, UDFs, partitions, and time series analysis. • Strong analytical skills and experience validating data across systems during migrations and ongoing operations. • Basic ability to read and understand Java or Scala code to support engineering collaboration. • Familiarity with Airflow (Cloud Composer) to interpret and trace data pipeline workflows.