Senior Data Analyst

Rackspace

136d • $143,700 - $245,520

About The Position

We’re seeking a highly skilled and experienced Data Analyst to join our dynamic team supporting one of our premiere clients on a cloud migration, on-prem into GCP, project. You’ll become part of a team of cloud experts supporting one of the world’s largest email providers. You’ll be navigating large datasets, building robust queries, and identifying inconsistencies with precision and insight.

Requirements

• Bachelor’s degree in computer science or a related field.
• 5+ years’ experience in data analyst or analytics engineering roles with strong BigQuery, SQL, and Python skills.
• 5+ years’ 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.
• Able to understand Java or Scala code.
• Familiarity with Airflow (Cloud Composer).

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.
• Collaborate with engineering teams to understand data pipelines.
• Perform side-by-side comparisons of data across systems to ensure consistency during and after migrations.
• Use 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.

Benefits

• Variable compensation in the form of bonus, commissions, or other discretionary payments based on company and/or individual performance.

What This Job Offers

• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees