Data Analyst

Ofcom
Edinburgh
3 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Closing Date:


07/12/2025

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 7 December, and therefore we advise getting your application in by no later than midnight on Saturday 6 December.


About the Team

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 which not only impacts everyone’s lives but also plays a leading role in the UK economy.


The Research and Intelligence team is the source of critical information and insight within Ofcom, providing data and analysis on the communication industries. We sit within the Strategy and Research Group and provide first‑class analysis and insight of UK communications market developments that serve as the evidence base for Ofcom’s policy and regulatory work. We work collaboratively with other Ofcom teams and with external stakeholders to deliver Ofcom’s objectives. Our work includes leading the delivery of Ofcom’s annual Communications Market Report, Online Nation Report, Media Nations Report and advising on the development and analysis of consumer research surveys as well as new and innovative data sources.


Purpose of the Role

Associates in the Research and Intelligence team are empowered to display strong analytical skills, excellent communication skills and the ability to work collaboratively. They provide high quality analysis of communications market data, including leading pieces that shape Ofcom’s long‑term thinking and strategy. The role includes drawing insights from large data sets and delivering high quality internal and external publications.


Your key responsibilities

  • Lead on the analysis and exploration of datasets of varying sizes and structures from a range of sources, producing clear, repeatable and robust findings.


  • Present analysis in a concise, clear, and easily accessible way using graphs, charts, well‑written text, interactive reports and presentations.


  • Engage with project teams to determine their analysis requirements.


  • Conduct project management tasks, including ensuring the timely delivery of work, organising meetings with stakeholders and supporting governance processes at Ofcom.



The skills, knowledge and experience you will need for success

Technical knowledge and experience –



  • Experience of analysing large datasets.


  • Knowledge, and use of, statistical methods.


  • Proficiency in a range of statistical, analytical and visualisation packages to manage data sets, analyse results and present data in clear, concise and creative ways (such as Python, R, Power BI, Azure Databricks, SQL).


  • Good attention to detail and commitment to ensure work is accurate.


  • Curiosity, and enthusiasm for analytical work and strategic thinking.


  • Proficiency in a range of statistical, analytical and visualisation packages to manage data sets, analyse results and present data in clear, concise and creative ways (such as Python, R, Power BI, Azure Databricks, SQL).



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 a clear and concise manner, ensuring messages are understood by everyone.


  • Executing Plans - Organise tasks and set clear goals, managing resources wisely, while keeping an eye on progress.



Qualifications and Accreditations

Degree or apprenticeship in a numerate subject desirable (e.g., Statistics, Mathematics, Data Science, Computer Science, Business Studies, Psychology, Geography, Economics, or similar)


Inclusivity Statement

Ofcom has a clear mission: to make communications work for everyone. To be able to deliver on this, we want our organisation to reflect the diversity of background, experience, upbringing and thought that exists across the UK. We aim to recruit from the widest pool of candidates possible – no matter your social background, age, ethnicity, sexual orientation, gender, or disability. We also warmly welcome applicants who are returning to the workforce after a break – for whatever reason. If you have taken time away and are ready to rejoin, we look forward to reviewing your application.


Where positions are listed as full‑time, we remain open to reduced hours, part‑time arrangements, job shares, and other flexible working options. From day one, we champion flexible work arrangements to accommodate individual needs. You can read more about our Rewards, Benefits and Well‑being on our careers page.


Our recruitment processes prioritise accessibility and inclusivity. If you need adjustments, information in an alternative format, or prefer to apply in a different way, please contact us at or call .


As a Disability Confident Leader, we offer interviews to disabled applicants who meet essential criteria for advertised roles. Learn more about this scheme here. https://careers.ofcom.org.uk/careers/how-we-hire/


#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.