

Diligent Tec, Inc
AI Data Analyst (GCP, Looker, BI)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Data Analyst in Santa Ana, CA, on a long-term contract. Requires strong SQL skills, GCP analytics experience, and proficiency in data validation and KPI verification. Collaboration with business teams and offshore resources is essential.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
December 31, 2025
π - Duration
Unknown
-
ποΈ - Location
On-site
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π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
Santa Ana, CA
-
π§ - Skills detailed
#Data Profiling #Data Mapping #Looker #Metadata #Data Catalog #"ETL (Extract #Transform #Load)" #Data Quality #UAT (User Acceptance Testing) #Data Lineage #AI (Artificial Intelligence) #BigQuery #Documentation #Cloud #GCP (Google Cloud Platform) #SQL (Structured Query Language) #Storage #Anomaly Detection #BI (Business Intelligence) #Data Analysis
Role description
Job Title:Β AI Data Analyst
Location:Β Santa Ana, CA - Day 1 Onsite
Type: Long Term Contract
Role Overview:
The AI Data Analyst will be responsible for data understanding, validation, KPI verification, and ensuring reporting outputs meet business expectations on the GCP platform. This position requires close collaboration with business stakeholders and offshore teams to ensure dashboards, data models, and pipelines deliver accurate, consistent, and trusted insights.
Key Responsibilities
Collaborate with business teams to define metrics, KPIs, and reporting logic.
Conduct data profiling, validation, and reconciliation against source systems.
Perform KPI validation to ensure accurate metric definitions and calculations.
Execute report/dashboard QA, including both visual and functional testing.
Lead and support UAT cycles for analytics deliverables.
Validate BigQuery data models, pipeline outputs, and semantic layer consistency.
Document data mappings, transformation rules, data quality issues, and resolution steps.
Act as the onsite liaison between business teams and offshore development teams.
Required Skills & Qualifications
Strong SQL expertise (BigQuery SQL preferred) with hands-on data analysis.
Experience in data validation, KPI verification, and BI report QA.
Working knowledge of GCP analytics stack: BigQuery, Data Catalog, Looker, Cloud Storage.
Understanding of semantic modeling, metadata, and data lineage concepts.
Familiarity with UAT planning, execution, and stakeholder sign-off.
Ability to collaborate effectively in an onsite-offshore delivery model.
Excellent analytical, communication, and documentation abilities.
Preferred Skills
Experience with anomaly detection or statistical analysis.
Exposure to LookML (nice-to-have).
Job Title:Β AI Data Analyst
Location:Β Santa Ana, CA - Day 1 Onsite
Type: Long Term Contract
Role Overview:
The AI Data Analyst will be responsible for data understanding, validation, KPI verification, and ensuring reporting outputs meet business expectations on the GCP platform. This position requires close collaboration with business stakeholders and offshore teams to ensure dashboards, data models, and pipelines deliver accurate, consistent, and trusted insights.
Key Responsibilities
Collaborate with business teams to define metrics, KPIs, and reporting logic.
Conduct data profiling, validation, and reconciliation against source systems.
Perform KPI validation to ensure accurate metric definitions and calculations.
Execute report/dashboard QA, including both visual and functional testing.
Lead and support UAT cycles for analytics deliverables.
Validate BigQuery data models, pipeline outputs, and semantic layer consistency.
Document data mappings, transformation rules, data quality issues, and resolution steps.
Act as the onsite liaison between business teams and offshore development teams.
Required Skills & Qualifications
Strong SQL expertise (BigQuery SQL preferred) with hands-on data analysis.
Experience in data validation, KPI verification, and BI report QA.
Working knowledge of GCP analytics stack: BigQuery, Data Catalog, Looker, Cloud Storage.
Understanding of semantic modeling, metadata, and data lineage concepts.
Familiarity with UAT planning, execution, and stakeholder sign-off.
Ability to collaborate effectively in an onsite-offshore delivery model.
Excellent analytical, communication, and documentation abilities.
Preferred Skills
Experience with anomaly detection or statistical analysis.
Exposure to LookML (nice-to-have).






