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Data Analyst

Job in Warrington, Cheshire, MK46, England, UK
Listing for: Cogent Skills Ltd
Full Time position
Listed on 2026-10-25
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 42000 GBP Yearly GBP 42000.00 YEAR
Job Description & How to Apply Below

Cogent Skills and its Nuclear subsidiary, NSAN have won 5 bids in support of the National Nuclear Skills Plan.

This role will support the teams at both Cogent Skills and NSAN to deliver all five projects by providing effective data analysis, insights and recommendations to inform the team and the project.

The Data Analyst will be an integral part of the research team within the Charity, supporting the Nuclear Skills Plan projects and in particular those with a prominent data/research element which includes a review of critical skills gaps and the need for the development of standardised roles, pathways and curriculum. Responsibilities include developing, leading, and maintaining advanced analytical processes, transforming complex problems and information into valuable intelligence that can support and direct the internal team in terms of their approach in delivering the project and the external client in prioritising key areas of focus and informing continuous improvement through ongoing evaluation.

This position requires close collaboration with employers, stakeholders, and the wider Research Team to ensure the delivery of high-quality, actionable insights.

Package
  • Competitive salary circa £42,000 dependent on experience
  • Full time role – fixed term for 12 months
  • Pension – employee contribution 6%
  • Opportunity to buy-back 5 extra days annual leave (FTE)
  • Day off for your birthday
  • Optional Private Health Care package
  • Employee Assistance Programme
  • Access to Training & Development Opportunities
Key Accountabilities
  • Gather, clean, develop and preprocess data from various sources to ensure data accuracy and integrity.
  • Develop and maintain SQL queries, scripts, and tools for data extraction, transformation, and loading (ETL) processes.
  • Analyze large datasets using statistical methods and data analysis techniques to identify trends, patterns, and anomalies.
  • Create insightful and actionable visualisations, dashboards, and reports using data visualisation tools (e.g., Tableau, Power BI, etc.).
  • Collaborate with stakeholders to understand business requirements and translate them into data analysis tasks.
  • Interpret and evaluate data findings and communicate results effectively to both technical and non-technical audiences through written best-in-class reports, presentations, and discussions.
  • Assist the research team in producing reports and analyses for the project.
  • Support the research team to ensure all projects are completed successfully to a high standard, achieving positive customer and stakeholder feedback.
  • Develop mechanisms to feed nuclear LMI into other related data sets within the bouds of the project.
  • Monitor key performance indicators (KPIs) and provide regular updates on data-driven insights to the NSDB.
  • Contribute to the development of data analytics strategies, best practices, and data governance standards.
  • Stay updated on industry and labour market trends, emerging technologies, and data analysis techniques to continuously improve and enhance analytical processes.
  • Evaluate internal systems and processes to develop best practice and drive high performance.
  • Keeping up-to‑date on industry, national and international data trends relating to projects.
Key Performance Indicators
  • Analysis and production of data outputs, insights, intelligence and research reports to support the NSP projects and aligned to the agreed schedule of activities.
Knowledge

Skills and Qualifications
  • Experience in a related field and/or studying towards/educated in a relevant field such as Data Science, Statistics, Computer Science, Mathematics.
  • Proficiency in data querying languages (e.g., SQL) and experience with ETL processes,
  • Familiar with qualitative analysis and visualisation software; for example, SPSS, R, or other statistical…
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