Data Analyst

GBS Global Applied Knowledge
Manchester
6 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Social network you want to login/join with:

GBS is a higher education provider offering a range of sector-relevant courses across ten campuses in London, Birmingham, Leeds and Manchester. Working in partnership with several of the UK’s leading higher education providers, we deliver vocational, undergraduate and postgraduate programmes in finance, accounting, business, construction, tourism, healthcare, and more.

Our Vision: Changing lives through education.

What We Do: Developing and writing quality reports both internally for GBS and for GBS partner organisations and other external agencies. To contribute to preparations for degree awarding powers.

The role: Working with internal stakeholders, you will use your expertise to gather existing and/or new data (where identified) and undertake analysis to provide data insights across GBS. Applying appropriate analytical techniques, you will present your findings appropriately through written reports or through intuitive, self-serve dashboards that will empower colleagues to understand the key metrics that drive performance throughout the organisation.

Please note, we are unable to offer sponsorship for this position.

Location

Manchester

Appointment Type

Permanent

Department

Data and Information

Full-Time/Part-Time

Full-time

Hours

£35,000-£38,000pa + Discretionary Performance Bonus

Entity

GBS UK

Ref No

5066

Main Responsibilities

What the role involves:

  • Work within a team to manage new data projects from end-to-end, gathering requirements through to developing and implementing new reports.
  • Engage with stakeholders to validate their requirements, review policies/procedures and present solution options in a manner that can be evaluated to meet needs.
  • Extract, prepare and collate raw data from multiple sources and provide analysing and manipulating data to produce customised reports and insights.
  • Lead and/or work within a team to design and implement surveys across the organisation, analysis of survey outcomes.
  • Analyse and interpret data to assist in providing solutions to deliver improved service delivery/performance and an optimal student experience.
  • Recognise erroneous data and escalate to the appropriate individual, in line with company procedures.
  • Monitor and assist in audits for data quality, data integrity and data governance.
  • Prepare reports for internal and external audiences using appropriate reporting tools, including Excel and Power BI.
  • Provide sector benchmarking through analysis of outcomes of NSS, TEF and Graduate Outcome Surveys.

Requirements

What Experience/Skills are required:

  • Prior use and understanding of Power BI or Tableau is essential.
  • Previous experience with data analysis.
  • Detailed knowledge of statistical techniques and research methodologies.
  • Experience in presenting data and providing insights via interactive dashboards or presentations.
  • Experience with R/Python/SPSS or SQL.
  • Confidence in building relations with internal and external stakeholders, with the ability to communicate complex data capability in a simple way.
  • Excellent knowledge of analytical tools, including Microsoft Power BI.
  • A good understanding of data and model design.
  • Work experience in Higher Education or Public Sector.

Other Information

What We Offer

  • 25 days annual leave, plus 8 public holidays
  • 1-day extra leave per year of service, up to a maximum of 5 days
  • Flexible Benefits: Cycle to Work, Workplace Nursery, Techscheme and much more
  • Reward and recognition programme
  • £500 award employee referral scheme
  • Discretionary annual performance bonus

“GBS has been a good place for professional growth. I have received great support from managers and colleagues who have encouraged me to develop new skills and take on more senior roles. Their mentorship has been invaluable to help me advance in my career.”

GBS is committed to equality, diversity and inclusion and providing a workplace free from discrimination or harassment. We welcome applications from all backgrounds and communities. We take our core values seriously and work hard to create an environment where everyone feels welcomed.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.