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Technology Lead

Job in Nottingham, Nottinghamshire, NG1, England, UK
Listing for: N Consulting Limited
Full Time position
Listed on 2026-07-06
Job specializations:
  • IT/Tech
    Data Analyst, IT Business Analyst, Business Systems/ Tech Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 65000 - 85000 GBP Yearly GBP 65000.00 85000.00 YEAR
Job Description & How to Apply Below

Work mode:
Hybrid
Number of days a week worked in the office: 2
Contract duration: 4 months

Location:

Nottingham

Role Title

Technology Lead

Must Have Skills
  • Strong experience in business analysis within data migration, systems replacement.
  • Good understanding of data modelling, data quality assessment, and data governance principles.
  • Excellent communication, facilitation, and stakeholder management skills.
Nice to Have Skills
  • Exposure to Market-Wide Half Hourly (MHHS) would be very useful.
  • Gather information about existing data structures, data sources, business processes, and system dependencies.
Qualifications
  • Minimum years of experience: 8+ years
Responsibilities
  • Gather information about existing data structures, data sources, business processes, and system dependencies.
  • Analyze the legacy application’s data model, data volumes, data quality and usage patterns.
  • Capture and define business, functional and non‑functional requirements for the data migration.
  • Identify data mapping requirements, transformation rules, validation needs and migration constraints.
  • Work with business users to establish acceptance criteria for migrated data.
  • Identify gaps between the current data model and the target application’s data structure.
  • Support the development of the future‑state data model and migration strategy.
  • Define high level migration scope, including in‑scope and out‑of‑scope data entities.
  • Assess risks, issues and impacts related to data migration activities.
  • Document system and process dependencies that may influence migration planning.
  • Support the identification of data cleansing, archiving and quality‑improvement needs.
  • Produce clear documentation such as discovery findings, requirements specifications, data dictionaries, process maps and gap analyses.
  • Present findings and recommendations to stakeholders in a structured and accessible manner.
  • Act as the communication bridge between business stakeholders and technical teams.
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