GCP Data Analyst - BigQuery (USA)

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.

Key Responsibilities : -

• Write, optimize, and execute complex SQL queries in BigQuery to validate data accuracy, identify inconsistencies, and support analytics and reporting.
• Analyze large datasets to assess data quality, compare trends across systems, and surface anomalies or unexpected behaviors.
• Utilize advanced BigQuery features such as authorized views, materialized views, UDFs, partitioned tables, and joins to support scalable, high-performance analysis.
• Use Python (including data frames and relevant libraries) for exploratory analysis, data manipulation, and supporting validation workflows.
• Support time series analysis and, where applicable, anomaly detection using SQL or Python-based approaches.
• Assist with load / transform validation to ensure reliability and accuracy in data pipelines.
• Collaborate with engineering teams to understand data pipelines, with basic ability to read and interpret Java or Scala code when needed.
• Perform side-by-side comparisons of data across systems to ensure consistency during and after migrations.
• Maintain basic familiarity with orchestration tools such as Airflow (Composer) to follow pipeline logic and collaborate effectively with engineering.
• Work within the GCP environment, leveraging cloud tools and services to support analysis, troubleshoot issues, and navigate cloud-based workflows.
• Clearly communicate analytical findings and data quality issues to cross-functional stakeholders to support decision-making.

Qualifications : -

Nice to have : -

Must have's : -

Travel : -

The following information is required by pay transparency legislation in the following states : CA, CO, HI, NY, and WA. This information applies only to individuals working in these states.

Unless already included in the posted pay range and based on eligibility, the role may include variable compensation in the form of bonus, commissions, or other discretionary payments. These discretionary payments are based on company and / or individual performance and may change at any time. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. Information on benefits offered is here.

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About Rackspace Technology

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Though we’re all different, Rackers thrive through our connection to a central goal : to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.