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Concept Resourcing

Data Analyst

Posted 13 hours ago by@ Concept Resourcing

  • London, Greater London
  • Contract
  • £475 to £525 /Day
  • Standard
  • Expires In a month

Job Description: Data Analyst

Contract Type: Initial 2-month contract (extension possible)
Rate: £525/day (Outside IR35)
Location: Remote with occasional travel to London



Role Overview

We are seeking a skilled and proactive Data Analyst to support our data team and enhance operational efficiency. Working alongside Data Modellers, you will play a critical role in enriching user stories, refining data catalogues, and reviewing business process models from a data perspective. Your efforts will directly contribute to the alignment of reporting and migration to the CDM (Common Data Model) and LDM (Logical Data Model).



Key Responsibilities

  • Collaboration with Data Modellers:
    Work closely with Data Modellers to reduce context-switching, ensuring smoother workflows and faster delivery.

  • User Story Enrichment:
    Enhance user stories to ensure they are comprehensive and actionable from a data perspective.

  • Data Catalogue Review:
    Validate and ensure that data catalogues produced by Business Analysts are fit for purpose, aligning with the team's data needs.

  • Business Process & Data Perspective:
    Analyze and review business process models and state transition diagrams, focusing on:

    • Lists of Values (LoVs)
    • Managing lifecycles of key concepts
  • Requirements Management:

    • Triage incoming data requirements (new and change requests) to reduce the workload on Data Modellers.
    • Manage iterative changes to requirements and related documentation through effective clarifications and feedback loops.


Qualifications & Experience

  • Proven experience as a Data Analyst, ideally within data architecture or migration projects.
  • Strong understanding of data catalogues, user stories, and business process models.
  • Excellent analytical and problem-solving skills.
  • Ability to collaborate with multidisciplinary teams, including Data Modellers and Business Analysts.
  • Familiarity with data lifecycle management and logical data models is a plus.