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

Ofcom
3 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)

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Tips for Staying Inspired: How Machine Learning Pros Fuel Creativity and Innovation

Machine learning (ML) continues to reshape industries—from personalised e-commerce recommendations and autonomous vehicles to advanced healthcare diagnostics and predictive maintenance in manufacturing. Yet behind every revolutionary model lies a challenging and sometimes repetitive process: data cleaning, hyperparameter tuning, infrastructure management, stakeholder communications, and constant performance monitoring. It’s no wonder many ML professionals can experience creative fatigue or get stuck in the daily grind. So, how do machine learning experts keep their spark alive and continually generate fresh ideas? Below, you’ll find ten actionable strategies that successful ML engineers, data scientists, and research scientists use to stay innovative and push boundaries. Whether you’re an experienced practitioner or just breaking into the field, these tips can help you fuel creativity and discover new angles for solving complex problems.

Top 10 Machine Learning Career Myths Debunked: Key Facts for Aspiring Professionals

Machine learning (ML) has become one of the hottest fields in technology—touching everything from recommendation engines and self-driving cars to language translation and healthcare diagnostics. The immense potential of ML, combined with attractive compensation packages and high-profile success stories, has spurred countless professionals and students to explore this career path. Yet, despite the boom in demand and innovation, machine learning is not exempt from myths and misconceptions. At MachineLearningJobs.co.uk, we’ve had front-row seats to the real-life career journeys and hiring needs in this field. We see, time and again, that outdated assumptions—like needing a PhD from a top university or that ML is purely about deep neural networks—can mislead new entrants and even deter seasoned professionals from making a successful transition. If you’re curious about a career in machine learning or looking to take your existing ML expertise to the next level, this article is for you. Below, we debunk 10 of the most persistent myths about machine learning careers and offer a clear-eyed view of the essential skills, opportunities, and realistic paths forward. By the end, you’ll be better equipped to make informed decisions about your future in this dynamic and rewarding domain.

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. Let’s dive in.