

Test Yantra
Data Analyst - AWS
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Analyst - AWS contract position located in West Drayton, UK, lasting inside IR35. Key skills required include advanced SQL, Python, and AWS experience, with a focus on analytics and data modelling.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
January 28, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
Waterside, England, United Kingdom
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🧠 - Skills detailed
#Data Quality #Business Analysis #Python #Deployment #BI (Business Intelligence) #Security #Data Processing #Lambda (AWS Lambda) #Data Architecture #Data Analysis #Automation #Programming #"ETL (Extract #Transform #Load)" #Data Engineering #Redshift #AI (Artificial Intelligence) #Athena #Data Science #Data Ingestion #Datasets #Scala #AWS (Amazon Web Services) #Data Pipeline #S3 (Amazon Simple Storage Service) #SQL (Structured Query Language)
Role description
Role: Data Analyst
Employment: Contract - Inside IR35
Location: West Drayton,Waterside,UK
Key Responsibilities
• Analyse, transform, and validate large datasets to support business intelligence, analytics, and AI-driven use cases.
• Develop and optimise lightweight data pipelines for data ingestion, transformation, and reporting, with a focus on analytics readiness rather than heavy engineering.
• Ensure high standards of data quality, consistency, integrity, and security across analytical datasets.
• Collaborate closely with Data Scientists, business analysts, and client stakeholders to enable advanced analytics and reporting.
• Design and maintain analytical data models that support reporting, dashboards, and downstream consumption.
• Leverage AWS services to support scalable, secure, and high-performing analytics solutions.
• Support integration of MRO AI solutions into client operational workflows by preparing, validating, and analysing relevant datasets.
• Contribute to data architecture designs that enable multi-OpCo deployments with modular, reusable analytical components.
Required Skills & Experience
• Strong hands-on experience in Data Analysis, with at least 70% of recent work focused on analytics, reporting, and insights rather than pure data engineering.
• Advanced proficiency in SQL for data analysis, validation, and performance optimisation.
• Strong programming experience in Python for data analysis, transformation, and automation.
• Excellent hands-on experience with AWS, particularly services used for analytics and data processing (e.g., S3, Athena, Glue, Redshift, Lambda, EMR).
• Solid understanding of data modelling for analytics, including fact/dimension design and reporting-friendly schemas.
• Experience integrating and consuming data via APIs and external data sources.
• Proven experience delivering production-grade data and analytics solutions, beyond proof-of-concept stages.
• Ability to quickly onboard into new teams and deliver value in fast-paced environments.
Role: Data Analyst
Employment: Contract - Inside IR35
Location: West Drayton,Waterside,UK
Key Responsibilities
• Analyse, transform, and validate large datasets to support business intelligence, analytics, and AI-driven use cases.
• Develop and optimise lightweight data pipelines for data ingestion, transformation, and reporting, with a focus on analytics readiness rather than heavy engineering.
• Ensure high standards of data quality, consistency, integrity, and security across analytical datasets.
• Collaborate closely with Data Scientists, business analysts, and client stakeholders to enable advanced analytics and reporting.
• Design and maintain analytical data models that support reporting, dashboards, and downstream consumption.
• Leverage AWS services to support scalable, secure, and high-performing analytics solutions.
• Support integration of MRO AI solutions into client operational workflows by preparing, validating, and analysing relevant datasets.
• Contribute to data architecture designs that enable multi-OpCo deployments with modular, reusable analytical components.
Required Skills & Experience
• Strong hands-on experience in Data Analysis, with at least 70% of recent work focused on analytics, reporting, and insights rather than pure data engineering.
• Advanced proficiency in SQL for data analysis, validation, and performance optimisation.
• Strong programming experience in Python for data analysis, transformation, and automation.
• Excellent hands-on experience with AWS, particularly services used for analytics and data processing (e.g., S3, Athena, Glue, Redshift, Lambda, EMR).
• Solid understanding of data modelling for analytics, including fact/dimension design and reporting-friendly schemas.
• Experience integrating and consuming data via APIs and external data sources.
• Proven experience delivering production-grade data and analytics solutions, beyond proof-of-concept stages.
• Ability to quickly onboard into new teams and deliver value in fast-paced environments.






