Rackspace Technology
GCP Data Analyst - BigQuery (USA)
Rackspace Technology, San Antonio, Texas, United States, 78208
Employer Industry: Multicloud Solutions
Why consider this job opportunity: - Salary up to $245,520 based on location and experience - Opportunity for variable compensation in the form of bonuses and commissions - Work within a collaborative and innovative environment recognized as a best place to work - Engage in meaningful projects that leverage cutting-edge technologies - Strong potential for career advancement within a leading technology firm - Flexible work arrangements, including hybrid options
What to Expect (Job Responsibilities): - Write, optimize, and execute complex SQL queries in BigQuery to validate data accuracy and support analytics and reporting - Analyze large datasets to assess data quality and identify anomalies - Utilize advanced BigQuery features for high-performance analysis and data validation - Employ Python for exploratory analysis and data manipulation - Collaborate with engineering teams to understand data pipelines and perform side-by-side data comparisons during migrations
What is Required (Qualifications): - 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 - Proven ability to write and optimize SQL queries for data validation and trend analysis - Experience building and operating solutions on Google Cloud Platform (GCP) - Strong analytical skills with the ability to detect inconsistencies across systems
How to Stand Out (Preferred Qualifications): - Familiarity with Looker or other BI tools for metric validation and reporting - Experience with BigQuery ML and Vertex AI - Basic understanding of legacy systems such as Oozie or Pig - Familiarity with time series analysis to identify unexpected shifts in metrics - Experience with orchestration tools like Airflow (Cloud Composer)
#MulticloudSolutions #DataAnalytics #BigQuery #SQL #CareerOpportunity #HybridWork
"We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer."
#J-18808-Ljbffr
Why consider this job opportunity: - Salary up to $245,520 based on location and experience - Opportunity for variable compensation in the form of bonuses and commissions - Work within a collaborative and innovative environment recognized as a best place to work - Engage in meaningful projects that leverage cutting-edge technologies - Strong potential for career advancement within a leading technology firm - Flexible work arrangements, including hybrid options
What to Expect (Job Responsibilities): - Write, optimize, and execute complex SQL queries in BigQuery to validate data accuracy and support analytics and reporting - Analyze large datasets to assess data quality and identify anomalies - Utilize advanced BigQuery features for high-performance analysis and data validation - Employ Python for exploratory analysis and data manipulation - Collaborate with engineering teams to understand data pipelines and perform side-by-side data comparisons during migrations
What is Required (Qualifications): - 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 - Proven ability to write and optimize SQL queries for data validation and trend analysis - Experience building and operating solutions on Google Cloud Platform (GCP) - Strong analytical skills with the ability to detect inconsistencies across systems
How to Stand Out (Preferred Qualifications): - Familiarity with Looker or other BI tools for metric validation and reporting - Experience with BigQuery ML and Vertex AI - Basic understanding of legacy systems such as Oozie or Pig - Familiarity with time series analysis to identify unexpected shifts in metrics - Experience with orchestration tools like Airflow (Cloud Composer)
#MulticloudSolutions #DataAnalytics #BigQuery #SQL #CareerOpportunity #HybridWork
"We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer."
#J-18808-Ljbffr