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

Ofcom
1 year 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.

Careers

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.

Jobs

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.

Careers Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.