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- Tasks: Analyse media coverage and deliver insights to shape communications strategy across EMEA.
- Company: Join a leading global tech company with innovative projects.
- Benefits: Competitive hourly rate, remote work, and potential for contract extension.
- Why this job: Make an impact on communications strategy while working with data and media.
- Qualifications: 2+ years in media analysis and strong SQL skills required.
- Other info: Exciting opportunity for career growth in a dynamic environment.
Data Analyst on Media – Remote (UK-based) | Contract: 12-month (possible extension) | £28–32 per hourWe are partnering with one of the world’s largest and most innovative technology companies to hire a Data Analyst on Media for their EMEA Communications Measurement Team. This is an exciting opportunity to help shape communications strategy across key markets, including Germany, UK, Italy, France, Spain, Turkey, Nigeria, Israel, Poland, and Arabic-speaking regions.The successful candidate will play a pivotal role in measuring the impact of communications across traditional press, social media, and owned channels — with a strong focus on data automation, dashboards, and analytics pipelines.ResponsibilitiesMonitor, summarise, and analyse media coverage across EMEA, delivering both qualitative and quantitative insights.Apply sentiment and trend analysis to contextualise local and regional media activity.Provide insights into regional news cycles and policy issues to inform strategy.Build scalable data pipelines to ingest, clean, and transform media data.Create and maintain interactive dashboards (e.g., Unidash), using APIs (Python/JavaScript) for automation.Quantify the impact of communications activity, establish KPIs, and prepare visual reports.Collaborate with analytics, data engineering, and communications teams to integrate press and media data with internal datasets.Minimum Qualifications2+ years’ experience in media analysis, journalism, communications, research, or related fields.Bachelor’s degree in Communications, Journalism, Political Science, Marketing, Economics, Data Science, or similar.Strong English communication skills; ability to draft clear news summaries and analysis.Proficiency in SQL for querying large-scale datasets.Experience handling and visualising datasets in deadline-driven environments.Basic programming in Python or JavaScript for scripting and automation.PreferredFluency in at least one additional EMEA language (German, French, Italian, Spanish, Turkish, Arabic, Polish, Hebrew, etc.).Experience with media monitoring tools and media measurement projects.Knowledge of dashboard design and data visualisation libraries.Familiarity with analytics around press and social media monitoring.This is an opportunity to work on high-impact projects for a global tech leader, delivering insights that directly inform communications strategy across diverse regions. If you’re passionate about media, data, and strategy — we’d love to hear from you.
Data Analyst / Media Analyst employer: LinkedIn
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StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst / Media Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. We want you to be able to show how your skills in data analysis and media can make a real impact. Tailor your examples to highlight your experience with dashboards and analytics pipelines.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms. We suggest focusing on common questions related to media analysis and data visualisation to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for passionate individuals who can contribute to our team. Make sure to showcase your unique skills and experiences that align with the role.
We think you need these skills to ace Data Analyst / Media Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience in media analysis and any relevant skills like SQL or Python. We want to see how your background fits with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about media and data, and how you can contribute to our team. Keep it concise but impactful — we love a good story!
Showcase Your Skills: Don’t forget to showcase your technical skills! Mention your proficiency in SQL, any experience with dashboard design, and your ability to automate processes. We’re keen on seeing how you can bring value to our analytics team.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at LinkedIn
✨Know Your Data
Make sure you brush up on your data analysis skills, especially SQL and any programming languages like Python or JavaScript. Be ready to discuss how you've used these tools in past roles, as well as any specific projects where you built dashboards or automated processes.
✨Understand the Media Landscape
Familiarise yourself with current trends in media coverage across the EMEA region. Being able to discuss recent news cycles or policy issues will show that you're not just a data whiz but also understand the context of your work.
✨Prepare for Scenario Questions
Expect questions that ask you to analyse hypothetical media data or describe how you would approach a specific project. Practise articulating your thought process clearly, as this will demonstrate your analytical skills and strategic thinking.
✨Showcase Your Communication Skills
Since the role involves drafting summaries and reports, be prepared to showcase your written communication skills. You might even want to bring examples of your previous work or practice summarising complex data into clear insights during the interview.