

Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with expertise in GCP, BigQuery, and dashboard creation. Contract length is unspecified, with a pay rate of £550 Inside IR35. Key skills include SQL, ETL processes, and experience in Agile environments. Location is hybrid, requiring onsite presence twice a week.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
550
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🗓️ - Date discovered
June 26, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Inside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Cloud #Programming #Data Integration #BigQuery #Datasets #GCP (Google Cloud Platform) #Data Extraction #Scrum #R #Data Analysis #Looker #Google Data Studio #Python #SQL (Structured Query Language) #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #Complex Queries #Agile
Role description
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GCP Data Analyst - Looker ML + BigQuery + Dashboard Experience
Location: Heathrow ( Hybrid 2 X Week Onsite )
Rate: £550 Inside IR35
We are seeking a talented Data Analyst with expertise in utilising Google BigQuery and Google Cloud Platform (GCP) for data analysis and insights generation. The ideal candidate should have a strong analytical mindset, proficiency in dashboards, querying and manipulating large datasets, and the ability to translate complex data into actionable insights that drive business decisions.
Candidate Specification
What you’ll bring
• Proven experience as a Data Analyst, with a focus on utilising GCP services and BigQuery for data analysis.
• Proficiency in SQL and experience in writing complex queries for data extraction and transformation.
• Strong understanding of data modelling concepts and data warehousing principles.
• Familiarity with ETL processes and data integration from various sources.
• Hands-on experience with visualisation tools like Google Data Studio or similar tools.
• Excellent problem-solving skills with the ability to derive actionable insights from complex data sets.
• Experience with programming languages like Python or R is a plus.
• Ability to work in an Agile/Scrum development environment.