Overview: 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.

Work Location/Travel:

· If located near a Rackspace office, you’ll work a hybrid schedule… 2 days in the office and three days remote.

· If not located near an office, you may work 100% remotely.

· 5% annual travel.

Discover your inner Racker: Racker Life

Information on Rackspace benefits

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.

Qualifications:

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).

Senior Data Analyst

Company: Rackspace