Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst - Manchester - Influence UK Communications Regulation (Apply in minutes)

Ofcom
8 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

  • *Data Analyst - Manchester**
  • *Closing Date:**

12012025**Group:**Strategy and Research Group**Management Level:**Associate**Job Type:**Permanent

  • *Job Description:**
  • *Please note that this role will close at 00:01 on Sunday 12 January and

therefore we advise getting your application by no later than midnight onSaturday 11 January.Team overview**The global communications industry is continuing to change at breakneck speed.As the UK’s communications regulator, Ofcom is at the heart of a sector whichnot only impacts everyone’s lives but also plays a leading role in the UKeconomy.The Research and Intelligence team is the source of critical information andinsight within Ofcom, providing data and analysis on the communicationindustries. We sit within the Strategy and Research Group and provide first-class analysis and insight of UK communications market developments that serveas the evidence base for Ofcom’s policy and regulatory work. We workcollaboratively with other Ofcom teams and with external stakeholders todeliver Ofcom’s objectives. Our work includes leading the delivery of Ofcom’sannual _Communications Market Report_ ,_Online Nation Report,_ _Media NationsReport_ and advising on the development and analysis of consumer researchsurveys as well as new and innovative data sources.**Purpose of the Role**Associates in the Research and Intelligence team are empowered to displaystrong analytical skills, excellent communication skills and the ability towork collaboratively. They provide high quality analysis of communicationsmarket data, including leading pieces that shape Ofcom’s long-term thinkingand strategy. The role includes drawing insights from large data sets anddelivering high quality internal and external publications.

  • *Requirements of the Role**
  • Lead on the analysis and exploration of datasets of varying sizes and structures from a range of sources, producing clear, repeatable, and robust findings.
  • Contribute to the design of consumer research surveys, advising on sampling, weighting and related statistical considerations.
  • Present analysis in a concise, clear, and easily accessible way using graphs, charts, well-written text, interactive reports and presentations.
  • Engage with project teams across the Strategy and Research group to find out what their analysis requirements are.
  • *Skills, knowledge and experience**
  • *Technical knowledge and experience**
  • Experience of analysing large datasets
  • Knowledge, and use of, statistical methods
  • Proficiency in a range of statistical, analytic and visualisation packages to manage data sets, analyse results and present data in clear, concise and creative ways (such as SPSS, Python, R, Power BI, Azure Databricks).
  • Knowledge of survey sampling and weighting.
  • Experience of applying quantitative techniques associated with Mathematics, Statistics, Computer Science or Social Research in an academic or real-world context.
  • *Behavioural Attributes**
  • *Generating Insights** - Use evidence-driven methods to gather insights, and

make well-founded decisions based on thorough analysis.**Articulating Ideas** - Express your ideas, thoughts, and information in aclear and concise manner, ensuring messages are understood by everyone.**Executing Plans** - Organise tasks and set clear goals, managing resourceswisely, while keeping an eye on progress.**Qualifications**Degree or apprenticeship in a numerate subject desirable (e.g. Statistics,Mathematics, Economics, Sciences, Business Studies, Psychology, Geography,Data Science or similar) or similar exposure to statistics training.Ofcom has a clear mission: to make communications work for everyone. To beable to deliver on this, we want our organisation to reflect the diversity ofbackground, experience, upbringing and thought that exists across the UK. Weaim to recruit from the widest pool of candidates possible – no matter yoursocial background, ethnicity, sexual orientation, gender or disability.Where positions are listed as full-time, we remain open to reduced hours,part-time arrangements, job shares, and other flexible working options. Fromday one, we champion flexible work arrangements to accommodate individualneeds.We also warmly welcome applicants who are returning to the workforce after abreak – for whatever reason. If you have taken time away and are ready torejoin, we look forward to reviewing your application.Our recruitment processes prioritise accessibility and inclusivity. If youneed information in an alternative format or have specific preferences, pleasecontact our recruitment team at[](mailto:) or call .As a Disability Confident employer, we offer interviews to disabled applicantswho meet essential criteria for advertised roles. Learn more about this schemehere. [hire](we-hire%2F&data=05%7C02%7CFreya.Dawbarn%40ofcom.org.uk%7Cddd4e9a9a4334dfec04808dccdafa8d8%7C0af648de310c40688ae4f9418bae24cc%7C0%7C0%7C6386114%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=lhz%2FVBhPUg7ZN0y791n3TZSBOuhkyEYbqDVMxlgpxsY%3D&reserved=0)

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.