

GCP Data Analyst_Clean Room
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Analyst (Clean Room) with a 12-month contract, remote work, and a pay rate of "TBD". Requires 8+ years in data analysis, expert SQL skills, GCP experience, and familiarity with clean room environments.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 3, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#Data Manipulation #Data Loss Prevention #SQL (Structured Query Language) #Scripting #Complex Queries #GCP (Google Cloud Platform) #Mathematics #BigQuery #Computer Science #Python #Data Analysis #Cloud #Looker #Statistics #Airflow
Role description
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GCP Data Analyst- Clean Room (Cloud Data Loss Prevention (DLP))
Location: Remote work
Duration: 12 Months +
β’ Mandatory experience in: Proven track record in designing, implementing, and maintaining sophisticated closed-loop reporting frameworks.
8+ years of progressive experience in data analysis, with a significant focus on cloud-based environments.
β’ Expert-level proficiency in SQL, with extensive experience optimizing complex queries in BigQuery.
β’ Deep understanding and hands-on experience with Google Cloud Platform (GCP) data services (e.g., BigQuery, Composer/Airflow, Cloud Functions, Pub/Sub, Looker/Looker Studio).
β’ Mandatory experience in: Proven track record in designing, implementing, and maintaining sophisticated closed-loop reporting frameworks.
β’ Extensive experience with identity resolution strategies and techniques, including data matching, deduplication, and customer 360 views.
β’ Experience with scripting languages like Python for data manipulation and analysis is a strong plus.
β’ Ability to mentor junior analysts and lead analytical projects.
β’ Strong strategic thinking and ability to translate business questions into analytical frameworks.
Preferred (for both Mid and Senior):
β’ Experience working in a "clean room" data environment is highly preferred.
β’ Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics, Information Systems).
Working Hours:
β’ Candidates must be located and able to work primarily within the Central Time Zone (CT) to facilitate team collaboration.