Data Analyst - Fully Remote

Data Analyst We're working with a leading global workforce solutions specialist on this exciting opportunity within the public sector technology space. This is a high-impact, 12-month contract for a Data Analyst with a technical edge to lead critical decommissioning activities across a complex digital landscape. You will utilize your expertise in Java, Node JS, and React to map intricate data flows and architect a clear end-to-end picture of how data moves across a massive multi-year programme. The Role • Lead the technical discovery and documentation of existing systems built on Java, Node JS, and React to support strategic decommissioning. • Reverse-engineer complex data models and system dependencies to identify ownership, integration points, and high-risk data silos. • Utilize Python and PySpark to interrogate live data pipelines, confirming exactly how data transforms in practice across the wider architecture. • Map intricate end-to-end data flows across RDS and cloud environments (AWS/Azure) to ensure a single source of truth for the decommissioning roadmap. • Manage data quality and governance by implementing robust testing frameworks to ensure the accuracy of all documented data assets. What You'll Need • Active SC Clearance is mandatory for this role. • Strong technical background with the ability to read and understand Java, Node JS, and React codebases to document system logic. • Proven experience in Data Modelling and managing structured/unstructured data in JSON and RDS formats. • Proficiency in Python and PySpark for data analysis, alongside experience with testing tools like PyTest and Great Expectations. • Hands-on experience with Cloud Data Engineering tools, specifically AWS Glue or Databricks within an AWS or Azure environment. What's On Offer • Competitive day rate of £500 - £510 (Inside IR35). • Fully remote working flexibility from anywhere in the UK. • Long-term 12-month initial contract with a high likelihood of extension. • Opportunity to work on a high-profile programme of national importance. Apply via Haystack today!