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- Tasks: Analyse media coverage and deliver insights across EMEA markets.
- Company: Join a leading global tech company shaping communications strategy.
- Benefits: Enjoy remote work flexibility and competitive hourly pay.
- Why this job: Make an impact on global communications while working with innovative data tools.
- Qualifications: 2+ years in media analysis; degree in relevant fields; SQL proficiency required.
- Other info: Opportunity for contract extension and collaboration with diverse teams.
Data Analyst on Media – Remote (UK-based) | Contract: 12-month (possible extension) | £28–32 per hour
We 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.
Responsibilities
- Monitor, 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 Qualifications
- 2+ 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.
Preferred
- Fluency 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: Russell Tobin
Contact Detail:
Russell Tobin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst / Media Analyst
✨Tip Number 1
Familiarise yourself with the latest media monitoring tools and analytics platforms. Being well-versed in these technologies will not only enhance your understanding of the role but also demonstrate your proactive approach to potential employers.
✨Tip Number 2
Brush up on your SQL skills, as querying large datasets is a key part of this role. Consider working on personal projects or online courses that allow you to practice and showcase your ability to manipulate data effectively.
✨Tip Number 3
Network with professionals in the media analysis field, especially those who work with EMEA communications. Engaging in relevant discussions on platforms like LinkedIn can provide insights into industry trends and may even lead to referrals.
✨Tip Number 4
Stay updated on current events and regional news cycles across the EMEA region. This knowledge will not only help you contextualise your analyses but also show your genuine interest in the role during interviews.
We think you need these skills to ace Data Analyst / Media Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in media analysis, data handling, and programming. Emphasise your skills in SQL and any familiarity with Python or JavaScript, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for media and data. Mention specific projects or experiences that demonstrate your ability to analyse media coverage and create dashboards, aligning your skills with the job requirements.
Showcase Relevant Skills: When detailing your experience, focus on your proficiency in data visualisation and any tools you've used for media monitoring. Highlight your ability to work under deadlines and provide insights that inform strategy.
Proofread Your Application: Before submitting, carefully proofread your application for any errors. Ensure that your communication is clear and professional, reflecting the strong English skills required for the position.
How to prepare for a job interview at Russell Tobin
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data analysis in previous roles. Highlight your experience with SQL and any projects where you built dashboards or automated processes, as these are key aspects of the job.
✨Understand the Media Landscape
Familiarise yourself with current trends in media analysis and communications. Being able to discuss recent developments in the industry will demonstrate your passion and knowledge, making you a more attractive candidate.
✨Prepare for Technical Questions
Expect questions that assess your technical skills, particularly in SQL and programming languages like Python or JavaScript. Brush up on your coding skills and be ready to solve problems or explain your thought process during the interview.
✨Demonstrate Collaboration Skills
Since the role involves working with various teams, be ready to share examples of how you've successfully collaborated with others in past projects. Emphasise your communication skills and ability to integrate different datasets to achieve common goals.