What are the responsibilities and job description for the Google Cloud Platform Data Analyst position at Kaizen Technologies?
Job Details
Role: Data Analyst with Google Cloud Platform
Must work in Santa Ana, CA
Onsite Position
Long Term Contract
The Data Analyst will be responsible for data understanding, data validation, KPI verification, and ensuring reporting outputs meet business expectations on Google Cloud Platform. The analyst will work closely with business stakeholders and offshore teams to ensure dashboards, data models, and pipelines deliver consistent and trusted insights.
Key Responsibilities
Collaborate with business users to define metrics, KPIs, and reporting logic
Conduct data profiling, validation, and reconciliation against source systems
Perform KPI validation, ensuring accuracy of metric definitions and calculations
Execute report/dashboard QA, including visual and functional checks
Lead and support User Acceptance Testing (UAT) cycles for analytics deliverables
Validate BigQuery data models, pipeline outputs, and semantic layer consistency
Document data mapping, transformation rules, data quality issues, and resolution steps
Act as the onsite bridge between business teams and offshore development team
Required Skills & Qualifications
Strong skills in SQL (preferably BigQuery SQL) and hands-on data analysis
Prior experience in data validation, KPI verification, and QA of BI reports
Working knowledge of Google Cloud Platform analytics stack - BigQuery, Data Catalog, Looker, Cloud Storage
Understanding of semantic modeling and metadata/data lineage concepts
Familiarity with UAT planning, execution, and stakeholder sign-off processes
Ability to collaborate effectively in an onsite offshore model
Excellent analytical skills with strong communication and documentation abilities
Preferred Skills
Experience with anomaly detection/statistical analysis
Exposure to LookML (nice-to-have)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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