Data Analyst

Data Analyst Location: Edinburgh or Manchester (Hybrid – 1 day onsite per week, Wednesdays) Type: Contract Overview We’re looking for a highly data-focused Data Analyst to support the development of data products within a modern AWS-based architecture. This role is centred on deep data analysis and discovery (70%) , alongside logical data modelling (30%) , helping shape how raw data is standardised, structured, and consumed. You’ll work closely with engineering teams, translating business needs into technical user stories and supporting the evolution of scalable data solutions.

Key Responsibilities Data Analysis & Discovery (70%) Conduct detailed data discovery across multiple datasets , identifying structure, quality, and relationships Investigate and interrogate data to uncover insights and anomalies Work hands-on with SQL to query and analyse large datasets Support data grouping, profiling, and exploration activities Collaborate with stakeholders to define data requirements and translate these into actionable outputs Contribute to the creation and refinement of data products Data Modelling (30%) Develop and maintain logical data models (LDM) Map and align data structures to Federated Data Models (FDM) Support data standardisation processes, particularly from raw data sources Work closely with architecture and engineering teams on data product architecture Ensure consistency and best practice across data modelling and design Technical Environment & Experience Strong SQL skills (essential) Experience working with AWS (including S3 buckets) Exposure to data product architecture Understanding of raw data ingestion and standardisation Experience collaborating with data engineering / extract engineering teams Ability to write and refine technical user stories Skills & Profile Highly analytical with a strong focus on data investigation and discovery Comfortable working in data-heavy, complex environments Strong understanding of logical data modelling principles Ability to bridge the gap between business needs and technical delivery Proactive, detail-oriented, and confident working with ambiguous datasets Additional Information Hybrid working: 1 day per week onsite (Wednesday) in either Edinburgh or Manchester Flexible engagement options available Fast-paced, delivery-focused environment