Data Analyst - AWS
Test Yantra
- Waterside, Scotland, United Kingdom
- Waterside, Scotland, United Kingdom
About
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.
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Languages
- English
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