Data analyst

Lorien
Manchester, United Kingdom
Last month
Applications closed

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Job Type
Contract
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
12 May 2026 (Last month)

Benefits

Hybrid working (1 day onsite) Flexible engagement options

Data Analyst

Location: Edinburgh or Manchester (Hybrid - 1 day onsite per week, Wednesdays)
Type: Contract

Overview

We're looking for ahighly data-focused Data Analyst to support the development of data products within a modern AWS-based architecture. This role is centred ondeep data analysis and discovery (70%), alongsidelogical 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 detaileddata discovery across multiple datasets, identifying structure, quality, and relationships
  • Investigate and interrogate data to uncover insights and anomalies
  • Work hands-on withSQL to query and analyse large datasets
  • Supportdata grouping, profiling, and exploration activities
  • Collaborate with stakeholders to define data requirements and translate these into actionable outputs
  • Contribute to the creation and refinement ofdata products

Data Modelling (30%)

  • Develop and maintainlogical data models (LDM)
  • Map and align data structures toFederated Data Models (FDM)
  • Supportdata standardisation processes, particularly from raw data sources
  • Work closely with architecture and engineering teams ondata product architecture
  • Ensure consistency and best practice across data modelling and design

Technical Environment & Experience

  • Strong SQL skills (essential)
  • Experience working withAWS (including S3 buckets)
  • Exposure todata product architecture
  • Understanding ofraw data ingestion and standardisation
  • Experience collaborating withdata engineering / extract engineering teams
  • Ability to write and refinetechnical user stories

Skills & Profile

  • Highly analytical with a strong focus ondata investigation and discovery
  • Comfortable working indata-heavy, complex environments
  • Strong understanding oflogical 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

Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

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