GCP Data Analyst - BigQuery

July 9

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Rackspace Technology

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SaaS • Cloud

Rackspace Technology is a leading provider of managed cloud services, offering a comprehensive range of cloud and application solutions. The company specializes in helping businesses increase efficiency and reliability through cloud adoption, application modernization, and data solutions, leveraging technologies such as AI, machine learning, and next-gen data platforms. They offer a full suite of services including consulting, application modernization, cloud security, and multicloud strategies, tailoring solutions to meet the specific needs of sectors such as healthcare, financial services, and public utilities. Rackspace Technology is known for its expertise in navigating complex cloud environments and providing advanced managed services to optimize performance and ensure compliance.

5001 - 10000 employees

Founded 1998

☁️ SaaS

📋 Description

• 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.

🎯 Requirements

• 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.